ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium: International Workshops: DOING, MADEISD, SKG, BBIGAP, SIMPDA, AIMinScience 2020 and Doctoral Consortium, Lyon, France, August 25–27, 2020, Proceedings

This volume contains a selection of the papers presented at all Workshops and DoctoralConsortium of the 24th East-European Conference on Advances in Databases andInformation Systems (ADBIS 2020), the 24th International Conference on Theory andPractice of Digital Libraries (TPDL 2020), and the 16th Workshop on BusinessIntelligence and Big Data (EDA 2020), held during August 25–27, 2020, in Lyon,France.

[1]  Max Welling,et al.  Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.

[2]  Jeffrey F. Naughton,et al.  Covering indexes for branching path queries , 2002, SIGMOD '02.

[3]  Satoshi Sekine,et al.  A survey of named entity recognition and classification , 2007 .

[4]  Ernesto Damiani,et al.  Overlapping Analytic Stages in Online Process Mining , 2019, 2019 IEEE International Conference on Services Computing (SCC).

[5]  C. Lehmann.  Data in linguistics , 2004 .

[6]  George H. L. Fletcher,et al.  An Experimental Study of Context-Free Path Query Evaluation Methods , 2019, SSDBM.

[7]  Rob Lemmens,et al.  Next Generation of Spatial Data Infrastructure: Lessons from Linked Data implementations across Europe , 2019, Int. J. Spatial Data Infrastructures Res..

[8]  Jelle Hellings,et al.  Conjunctive Context-Free Path Queries , 2014, ICDT.

[9]  Yuan Luo,et al.  Graph Convolutional Networks for Text Classification , 2018, AAAI.

[10]  Diego Calvanese,et al.  OBDA for Log Extraction in Process Mining , 2017, Reasoning Web.

[11]  Wil M. P. van der Aalst,et al.  A Generic Import Framework for Process Event Logs , 2006, Business Process Management Workshops.

[12]  Lesley Wyborn,et al.  Graph Connections Made By RD-Switchboard Using NCI's Metadata , 2017, D Lib Mag..

[13]  Tobias Weber.  Can Computational Meta-Documentary Linguistics Provide for Accountability and Offer an Alternative to "Reproducibility" in Linguistics? , 2019, LDK.

[14]  Philip S. Yu,et al.  A Survey of Heterogeneous Information Network Analysis , 2015, IEEE Transactions on Knowledge and Data Engineering.

[15]  James Cheney,et al.  A Graph Model of Data and Workflow Provenance , 2010, TaPP.

[16]  Marta Poblet,et al.  A Research Graph dataset for connecting research data repositories using RD-Switchboard , 2018, Scientific Data.

[17]  Quoc V. Le,et al.  Distributed Representations of Sentences and Documents , 2014, ICML.

[18]  Wil M. P. van der Aalst,et al.  Extracting Event Data from Databases to Unleash Process Mining , 2015, BPM.

[19]  Munmun De Choudhury,et al.  Psychological Effects of Urban Crime Gleaned from Social Media , 2015, ICWSM.

[20]  Boris Delibasic,et al.  CrEx-Wisdom Framework for Fusion of Crowd and Experts in Crowd Voting Environment - Machine Learning Approach , 2020, ADBIS/TPDL/EDA Workshops.

[21]  Ivan Martinovic,et al.  Bringing up OpenSky: A large-scale ADS-B sensor network for research , 2014, IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks.

[22]  T. Nemecek,et al.  Reducing food’s environmental impacts through producers and consumers , 2018, Science.

[23]  Jure Leskovec,et al.  Motifs in Temporal Networks , 2016, WSDM.

[24]  Ashish Goel,et al.  Knapsack Voting for Participatory Budgeting , 2019, ACM Trans. Economics and Comput..

[25]  Katja Hose,et al.  Efficient Continuous Multi-Query Processing over Graph Streams , 2019, EDBT.

[26]  Jie Tang,et al.  Name Disambiguation in AMiner: Clustering, Maintenance, and Human in the Loop. , 2018, KDD.

[27]  Domonkos Tikk,et al.  Alternating least squares for personalized ranking , 2012, RecSys.

[28]  Naren Ramakrishnan,et al.  Modeling mass protest adoption in social network communities using geometric brownian motion , 2014, KDD.

[29]  Philip S. Yu,et al.  Graph indexing: a frequent structure-based approach , 2004, SIGMOD '04.

[30]  Jianliang Xu,et al.  Performance evaluation of an optimal cache replacement policy for wireless data dissemination , 2004, IEEE Transactions on Knowledge and Data Engineering.

[31]  Ihab F. Ilyas,et al.  Data Cleaning: Overview and Emerging Challenges , 2016, SIGMOD Conference.

[32]  Doina Caragea,et al.  Graph Databases , 2019, Encyclopedia of Big Data Technologies.

[33]  Giovanni Maria Sacco,et al.  Buffer management in relational database systems , 1986, TODS.

[34]  Ardi Imawan,et al.  TiQ: A Timeline Query Processing System over Road Traffic Data , 2015, 2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity).

[35]  Alfredo Cuzzocrea,et al.  Warehousing and Protecting Big Data: State-Of-The-Art-Analysis, Methodologies, Future Challenges , 2016, ICC 2016.

[36]  Yuxiao Dong,et al.  Microsoft Academic Graph: When experts are not enough , 2020, Quantitative Science Studies.

[37]  Sarah Ogilvie,et al.  Keeping Languages Alive: Documentation, Pedagogy and Revitalization , 2013 .

[38]  Peiquan Jin,et al.  CCF-LRU: a new buffer replacement algorithm for flash memory , 2009, IEEE Transactions on Consumer Electronics.

[39]  Michael Felderer,et al.  Risk-based data validation in machine learning-based software systems , 2019, MaLTeSQuE@ESEC/SIGSOFT FSE.

[40]  Peter Bernus,et al.  Business process modelling in industry - the powerful tool in enterprise management , 2002, Comput. Ind..

[41]  Jerome McGann,et al.  Philology in a New Key , 2013, Critical Inquiry.

[42]  Francesca Toni,et al.  Argument Mining and Social Debates , 2014, COMMA.

[43]  Aart J. C. Bik,et al.  Pregel: a system for large-scale graph processing , 2010, SIGMOD Conference.

[44]  Jie Tang,et al.  ArnetMiner: extraction and mining of academic social networks , 2008, KDD.

[45]  Dominika Tkaczyk,et al.  Crossref: The sustainable source of community-owned scholarly metadata , 2020, Quantitative Science Studies.

[46]  Sandro Bimonte,et al.  Logical and Physical Design of Spatial Non-Strict Hierarchies in Relational Spatial Data Warehouse , 2019, Int. J. Data Warehous. Min..

[47]  Ricardo Seguel,et al.  Process Mining Manifesto , 2011, Business Process Management Workshops.

[48]  Cristina Dutra de Aguiar Ciferri,et al.  Processamento Eficiente de Consultas Analíticas Estendidas com Predicado de Similaridade em Spark , 2019, SBBD.

[49]  Diane M. Strong,et al.  Beyond Accuracy: What Data Quality Means to Data Consumers , 1996, J. Manag. Inf. Syst..

[50]  Carlos Guestrin,et al.  "Why Should I Trust You?": Explaining the Predictions of Any Classifier , 2016, ArXiv.

[51]  David M. Nichols,et al.  Metrics for openness , 2017, J. Assoc. Inf. Sci. Technol..

[52]  Hussein A. Abbass,et al.  An ensemble approach for conflict detection in Free Flight by data mining , 2009 .

[53]  Silvio Peroni,et al.  The SPAR Ontologies , 2018, SEMWEB.

[54]  Hai Zhuge,et al.  Adding Logical Operators to Tree Pattern Queries on Graph-Structured Data , 2012, Proc. VLDB Endow..

[55]  Klaus H. Maier-Hein,et al.  Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection , 2018, ML4H@NeurIPS.

[56]  Eun Ji Kim,et al.  Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area. , 2020, JAMA.

[57]  Yang Xiang,et al.  Path-tree: An efficient reachability indexing scheme for large directed graphs , 2011, TODS.

[58]  Mohamed Sarwat,et al.  GeoSpark: a cluster computing framework for processing large-scale spatial data , 2015, SIGSPATIAL/GIS.

[59]  David Tilman,et al.  Multiple health and environmental impacts of foods , 2019, Proceedings of the National Academy of Sciences.

[60]  Zhengping Qian,et al.  Real-time Constrained Cycle Detection in Large Dynamic Graphs , 2018, Proc. VLDB Endow..

[61]  Evangelos Theodoridis,et al.  Data integration and disintegration: Managing Springer Nature SciGraph with SHACL and OWL , 2017, SEMWEB.

[62]  Hai Zhuge,et al.  Forward search path count as an alternative indirect citation impact indicator , 2019, J. Informetrics.

[63]  Roopika Risam.  Telling Untold Stories: Digital Textual Recovery Methods , 2018, Research Methods for the Digital Humanities.

[64]  Jana Diesner,et al.  WikiCSSH: Extracting Computer Science Subject Headings from Wikipedia , 2020, ADBIS/TPDL/EDA Workshops.

[65]  Jadwiga Indulska,et al.  Modeling Context Information in Pervasive Computing Systems , 2002, Pervasive.

[66]  Md Siddiqur Rahman.  Supervised Machine Learning Model to Help Controllers Solving Aircraft Conflicts , 2020, ADBIS/TPDL/EDA Workshops.

[67]  Pawel Bialas,et al.  Abdominal Aortic Aneurysm Segmentation from Contrast-Enhanced Computed Tomography Angiography Using Deep Convolutional Networks , 2020, ADBIS/TPDL/EDA Workshops.

[68]  Xiaoying Wu,et al.  Exploring Citation Networks with Hybrid Tree Pattern Queries , 2020, ADBIS/TPDL/EDA Workshops.

[69]  Yi Liu,et al.  Literature review on collective intelligence: a crowd science perspective , 2018 .

[70]  Chris Reed,et al.  AIFdb Corpora , 2014, COMMA.

[71]  Wolf-Tilo Balke,et al.  Fast Dual Simulation Processing of Graph Database Queries , 2018, 2019 IEEE 35th International Conference on Data Engineering (ICDE).

[72]  Yong Hu,et al.  The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature , 2011, Decis. Support Syst..

[73]  Krzysztof Janowicz,et al.  A Linked-Data-Driven and Semantically-Enabled Journal Portal for Scientometrics , 2013, SEMWEB.

[74]  Nitesh V. Chawla,et al.  metapath2vec: Scalable Representation Learning for Heterogeneous Networks , 2017, KDD.

[75]  Cinzia Cappiello,et al.  Quality awareness for a Successful Big Data Exploitation , 2018, IDEAS.

[76]  Jiawei Han,et al.  Citation Prediction in Heterogeneous Bibliographic Networks , 2012, SDM.

[77]  Vetle I. Torvik,et al.  Expertise as an aspect of author contributions , 2018 .

[78]  T. Graepel,et al.  Private traits and attributes are predictable from digital records of human behavior , 2013, Proceedings of the National Academy of Sciences.

[79]  Sylvio Barbon Junior,et al.  Analysis of Language Inspired Trace Representation for Anomaly Detection , 2020, ADBIS/TPDL/EDA Workshops.

[80]  Ava Fatah gen. Schieck,et al.  Introducing the space recommender system: how crowd-sourced voting data can enrich urban exploration in the digital era , 2013, C&T '13.

[81]  Andrea Burattin,et al.  PLG2: Multiperspective Processes Randomization and Simulation for Online and Offline Settings , 2015, ArXiv.

[82]  Toyotaro Suzumura,et al.  Towards Scalable Distributed Graph Database Engine for Hybrid Clouds , 2014, 2014 5th International Workshop on Data-Intensive Computing in the Clouds.

[83]  Diego Reforgiato Recupero,et al.  Integrating Knowledge Graphs for Comparing the Scientific Output of Academia and Industry , 2019, ISWC Satellites.

[84]  András Schubert,et al.  Using the h-index for assessing single publications , 2009, Scientometrics.

[85]  Sören Auer,et al.  Open Research Knowledge Graph: Next Generation Infrastructure for Semantic Scholarly Knowledge , 2019, K-CAP.

[86]  David A. Pendlebury,et al.  Web of Science as a data source for research on scientific and scholarly activity , 2020, Quantitative Science Studies.

[87]  P. Jean-Jacques Herings,et al.  The Condorcet paradox revisited , 2010, Social Choice and Welfare.

[88]  B. Latour,et al.  Laboratory Life: The Construction of Scientific Facts , 1979 .

[89]  Steffen Staab,et al.  Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis , 2005, J. Artif. Intell. Res..

[90]  Elhadj Benkhelifa,et al.  Exploiting Social Networks for the Prediction of Social and Civil Unrest: A Cloud Based Framework , 2014, 2014 International Conference on Future Internet of Things and Cloud.

[91]  Ronald Rousseau,et al.  Scientific influence is not always visible: The phenomenon of under-cited influential publications , 2016, J. Informetrics.

[92]  Narottam Chand,et al.  Cooperative Caching Strategy in Mobile Ad Hoc Networks Based on Clusters , 2007, ICCCS '11.

[93]  Lise Getoor,et al.  FutureRank: Ranking Scientific Articles by Predicting their Future PageRank , 2009, SDM.

[94]  James K. Archibald,et al.  A Satisficing Approach to Aircraft Conflict Resolution , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[95]  Yoshua Bengio,et al.  Random Search for Hyper-Parameter Optimization , 2012, J. Mach. Learn. Res..

[96]  David Yarowsky,et al.  Classifying latent user attributes in twitter , 2010, SMUC '10.

[97]  Daniel Rueckert,et al.  Recurrent neural networks for aortic image sequence segmentation with sparse annotations , 2018, MICCAI.

[98]  Aldo Gangemi,et al.  Content Ontology Design Patterns as Practical Building Blocks for Web Ontologies , 2008, ER.

[99]  Jill Johnes,et al.  University rankings: What do they really show? , 2018, Scientometrics.

[100]  Doug Downey,et al.  Construction of the Literature Graph in Semantic Scholar , 2018, NAACL.

[101]  A. Ghezzi,et al.  Crowdsourcing: A Review and Suggestions for Future Research , 2018 .

[102]  Francesco Osborne,et al.  The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles , 2019, TPDL.

[103]  Ralph Kimball,et al.  The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling , 1996 .

[104]  Aleksey V. Burdakov,et al.  Bloom Filter Cascade Application to SQL Query Implementation on Spark , 2019, 2019 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).

[105]  David J. DeWitt,et al.  An evaluation of buffer management strategies for relational database systems , 1986, Algorithmica.

[106]  Jianliang Xu,et al.  SAIU: an efficient cache replacement policy for wireless on-demand broadcasts , 2000, CIKM '00.

[107]  M. Uschold.  Creating , Integrating and Maintaining Local and Global Ontologies , 2000 .

[108]  Francesca Rossi.  Preferences, Constraints, Uncertainty, and Multi-Agent Scenarios , 2008, ISAIM.

[109]  Max Mühlhäuser,et al.  BINet: Multi-perspective Business Process Anomaly Classification , 2019, Inf. Syst..

[110]  Philip S. Yu,et al.  Top-k Similarity Join in Heterogeneous Information Networks , 2015, IEEE Transactions on Knowledge and Data Engineering.

[111]  Melissa S. Anderson.  The Complex Relations between the Academy and Industry , 2001 .

[112]  Guohong Cao,et al.  Supporting cooperative caching in ad hoc networks , 2004, IEEE Transactions on Mobile Computing.

[113]  Paul Grefen,et al.  Enabling efficient process mining on large data sets: realizing an in-database process mining operator , 2019, Distributed and Parallel Databases.

[114]  Petr Havlik,et al.  The role of trade in the greenhouse gas footprints of EU diets , 2018, Global Food Security.

[115]  Bela Gipp,et al.  Citation-based Plagiarism Detection , 2014, Springer Fachmedien Wiesbaden.

[116]  Hong Va Leong,et al.  On adaptive caching in mobile databases , 1997, SAC '97.

[117]  Michael I. Jordan,et al.  Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..

[118]  J. C. Catford,et al.  A linguistic theory of translation : an essay in applied linguistics , 1965 .

[119]  Manfred Stede,et al.  Towards Detecting Counter-considerations in Text , 2015, ArgMining@HLT-NAACL.

[120]  Cristina Dutra de Aguiar Ciferri,et al.  ImgDW Generator: a Tool for Generating Data for Medical Image Data Warehouses , 2018, SBBD Companion.

[121]  Yiannis Kompatsiaris,et al.  Sensing Trending Topics in Twitter , 2013, IEEE Transactions on Multimedia.

[122]  Karen M. Wickett,et al.  There are No Documents , 2010 .

[123]  Dimitris Papadias,et al.  Query Processing in Wireless Sensor Networks , 2013, Managing and Mining Sensor Data.

[124]  D. Rawat,et al.  Graph Database: A Complete GDBMS Survey , 2017 .

[125]  Marianne Thomsen,et al.  The carbon footprint of Danish diets , 2019, Climatic Change.

[126]  Brigitte Jörg,et al.  CERIF: The Common European Research Information Format Model , 2010, Data Sci. J..

[127]  Philip S. Yu,et al.  Heterogeneous Information Network Embedding for Recommendation , 2017, IEEE Transactions on Knowledge and Data Engineering.

[128]  Max Mühlhäuser,et al.  Analyzing business process anomalies using autoencoders , 2018, Machine Learning.

[129]  Hamed Dinari,et al.  A Survey on Graph Queries Processing: Techniques and Methods , 2017 .

[130]  Heiko Paulheim,et al.  Ontology-based Application Integration , 2011 .

[131]  Guy Lapalme,et al.  A systematic analysis of performance measures for classification tasks , 2009, Inf. Process. Manag..

[132]  Jake Ryland Williams,et al.  A scalable machine learning approach for measuring violent and peaceful forms of political protest participation with social media data , 2019, PloS one.

[133]  Hao Wang,et al.  PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction , 2018, KDD.

[134]  Pari Delir Haghighi,et al.  CFinder: An intelligent key concept finder from text for ontology development , 2014, Expert Syst. Appl..

[135]  Dirk Draheim,et al.  The Data Quality Framework for the Estonian Public Sector and Its Evaluation - Establishing a Systematic Process-Oriented Viewpoint on Cross-Organizational Data Quality , 2017, Trans. Large Scale Data Knowl. Centered Syst..

[136]  Stacy Konkiel,et al.  Dimensions: Bringing down barriers between scientometricians and data , 2020, Quantitative Science Studies.

[137]  Grégoire Côté,et al.  Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies , 2020, Quantitative Science Studies.

[138]  V. Vaidehi,et al.  Distributed database management and join of multiple data streams in wireless sensor network using querying techniques , 2011, 2011 International Conference on Recent Trends in Information Technology (ICRTIT).

[139]  Marek Kosmulski,et al.  Hirsch-type approach to the 2nd generation citations , 2010, J. Informetrics.

[140]  Wei-Ying Ma,et al.  Object-level ranking: bringing order to Web objects , 2005, WWW '05.

[141]  Ksenija Mandic,et al.  Modeling Interactions Among Criteria in MCDM Methods: A Review , 2015, ICDSST.

[142]  Carolyn Penstein Rosé,et al.  Author Age Prediction from Text using Linear Regression , 2011, LaTeCH@ACL.

[143]  Florian Boudin,et al.  Large-Scale Evaluation of Keyphrase Extraction Models , 2020, JCDL.

[144]  Miklós Krész,et al.  Applications of the inverse infection problem on bank transaction networks , 2015, Central Eur. J. Oper. Res..

[145]  L. Perlemuter.  [From theory to practice]. , 1997, Soins. Psychiatrie.

[146]  Jay Bhattacharya,et al.  Age and the Trying Out of New Ideas , 2015, Journal of Human Capital.

[147]  Lily Troia.  The Scholix Framework for Interoperability in Data-Literature Information Exchange , 2017 .

[148]  Martin A. Musicante,et al.  A Bottom-Up Algorithm for Answering Context-Free Path Queries in Graph Databases , 2018, ICWE.

[149]  Hajo A. Reijers,et al.  Connecting databases with process mining: a meta model and toolset , 2016, Software & Systems Modeling.

[150]  Stefan Biffl,et al.  A flyweight UML modelling tool for software development in heterogeneous environments , 2003, 2003 Proceedings 29th Euromicro Conference.

[151]  Paolo Torroni,et al.  Argumentation Mining , 2016, ACM Trans. Internet Techn..

[152]  Alessandro Berti,et al.  Extracting Multiple Viewpoint Models from Relational Databases , 2018, SIMPDA.

[153]  Zorica Dodevska,et al.  Computational Social Choice and challenges оf voting in multi-agent systems , 2019, Tehnika.

[154]  Maria-Esther Vidal,et al.  Towards a Knowledge Graph for Science , 2018, WIMS.

[155]  Suzanne Fricke,et al.  Semantic Scholar , 2018, Journal of the Medical Library Association : JMLA.

[156]  Larry S. Davis,et al.  Towards Unified Data and Lifecycle Management for Deep Learning , 2016, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).

[157]  Eui-nam Huh,et al.  An efficient similar image search framework for large-scale data on cloud , 2017, IMCOM.

[158]  Jelle Hellings,et al.  Path Results for Context-free Grammar Queries on Graphs , 2015, ArXiv.

[159]  Roel Popping,et al.  Knowledge Graphs and Network Text Analysis , 2003 .

[160]  M E J Newman,et al.  Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[161]  Charu C. Aggarwal,et al.  When will it happen?: relationship prediction in heterogeneous information networks , 2012, WSDM '12.

[162]  Nicola Guarino,et al.  Some Ontological Principles for Designing Upper Level Lexical Resources , 1998, LREC.

[163]  Jeffrey Pennington,et al.  GloVe: Global Vectors for Word Representation , 2014, EMNLP.

[164]  Nicholas R. Miller.  Reflections on Arrow’s theorem and voting rules , 2019 .

[165]  Philip S. Yu,et al.  PathSim , 2011, Proc. VLDB Endow..

[166]  Serena Villata,et al.  Generating Abstract Arguments: A Natural Language Approach , 2012, COMMA.

[167]  Ernesto Damiani,et al.  A Framework for Human-in-the-loop Monitoring of Concept-drift Detection in Event Log Stream , 2018, WWW.

[168]  Gaël Varoquaux,et al.  Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..

[169]  Stefanie Rinderle-Ma,et al.  Multi-perspective Anomaly Detection in Business Process Execution Events , 2016, OTM Conferences.

[170]  Amol Deshpande,et al.  ProvDB: Lifecycle Management of Collaborative Analysis Workflows , 2017, HILDA@SIGMOD.

[171]  Felix Naumann,et al.  Discovery of Approximate (and Exact) Denial Constraints , 2019, Proc. VLDB Endow..

[172]  Steven C. H. Hoi,et al.  FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging , 2019, KDD.

[173]  Chang-Tien Lu,et al.  Analyzing Civil Unrest through Social Media , 2013, Computer.

[174]  Klaus Simon,et al.  An Improved Algorithm for Transitive Closure on Acyclic Digraphs , 1986, Theor. Comput. Sci..

[175]  Marie-Francine Moens,et al.  Argumentation mining: the detection, classification and structure of arguments in text , 2009, ICAIL.

[176]  Jeffrey Xu Yu,et al.  Graph Reachability Queries: A Survey , 2010, Managing and Mining Graph Data.

[177]  L. F. Escudero,et al.  Conflict avoidance: 0-1 linear models for conflict detection & resolution , 2013 .

[178]  Florenta Teodoridis,et al.  When Collaboration Bridges Institutions: The Impact of University-Industry Collaboration on Academic Productivity , 2019, Organ. Sci..

[179]  Philipp Koehn,et al.  Europarl: A Parallel Corpus for Statistical Machine Translation , 2005, MTSUMMIT.

[180]  Jeffrey Dean,et al.  Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.

[181]  Keith W. Ross,et al.  Estimating age privacy leakage in online social networks , 2012, 2012 Proceedings IEEE INFOCOM.

[182]  Frank van Harmelen,et al.  Improving social research using heterogeneous data: the SMS platform , 2017 .

[183]  Max Mühlhäuser,et al.  Unsupervised Anomaly Detection in Noisy Business Process Event Logs Using Denoising Autoencoders , 2016, DS.

[184]  De Liu,et al.  Effect of Crowd Voting on Participation in Crowdsourcing Contests , 2020, J. Manag. Inf. Syst..

[185]  Charu C. Aggarwal,et al.  Co-author Relationship Prediction in Heterogeneous Bibliographic Networks , 2011, 2011 International Conference on Advances in Social Networks Analysis and Mining.

[186]  J. Pennebaker,et al.  PERSONALITY PROCESSES AND INDIVIDUAL DIFFERENCES Words of Wisdom: Language Use Over the Life Span , 2003 .

[187]  Alan R. Hevner,et al.  Design Science in Information Systems Research , 2004, MIS Q..

[188]  Mary Katherine Yntema,et al.  Inclusion Relations Among Families Of Context-Free Languages , 1967, Inf. Control..

[189]  Lei Jiang,et al.  Data Quality Is Context Dependent , 2010, BIRTE.

[190]  Andrea Giovanni Nuzzolese,et al.  Conference Linked Data: The ScholarlyData Project , 2016, SEMWEB.

[191]  Yoon Kim,et al.  Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.

[192]  Seppe K. L. M. vanden Broucke,et al.  act2vec, trace2vec, log2vec, and model2vec: Representation Learning for Business Processes , 2018, BPM.

[193]  Anne Laurent,et al.  Summarizing Multidimensional Data Streams: A Hierarchy-Graph-Based Approach , 2010, PAKDD.

[194]  Joseph Onderi Orero,et al.  Exploiting IoT Data Crossings for Gradual Pattern Mining Through Parallel Processing , 2020, ADBIS/TPDL/EDA Workshops.

[195]  Shawndra Hill,et al.  Expert Stock Picker: The Wisdom of (Experts in) Crowds , 2011, Int. J. Electron. Commer..

[196]  Jürgen Schmidhuber,et al.  Long Short-Term Memory , 1997, Neural Computation.

[197]  Toon Calders,et al.  2SCENT: An Efficient Algorithm to Enumerate All Simple Temporal Cycles , 2018, Proc. VLDB Endow..

[198]  María Teresa Gómez López,et al.  Enabling process mining in aircraft manufactures: extracting event logs and discovering processes from complex data , 2019, BPM.

[199]  K. Zeghal.  A REVIEW OF DIFFERENT APPROACHES BASED ON FORCE FIELDS FOR AIRBORNE CONFLICT RESOLUTION , 1998 .

[200]  Flavius Frasincar,et al.  A semantic approach for extracting domain taxonomies from text , 2014, Decis. Support Syst..

[201]  Michael D. Garris,et al.  Creating and validating a large image database for METTREC , 1997 .

[202]  George C. Bond.  Fieldnotes: Research in Past Occurrences , 2019 .

[203]  Georgios Evangelidis,et al.  Review of the indirect citations paradigm: theory and practice of the assessment of papers, authors and journals , 2013, Scientometrics.

[204]  Filippo Menczer,et al.  Evolution of online user behavior during a social upheaval , 2014, WebSci '14.

[205]  Cláudio T. Silva,et al.  A GPU-based index to support interactive spatio-temporal queries over historical data , 2016, 2016 IEEE 32nd International Conference on Data Engineering (ICDE).

[206]  Anne Laurent,et al.  Mining Fuzzy-Temporal Gradual Patterns , 2019, 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[207]  Jeff Good,et al.  Data and Language Documentation , 2006 .

[208]  Dariusz Mrozek,et al.  Fuzzy Join for Flexible Combining Big Data Lakes in Cyber-Physical Systems , 2018, IEEE Access.

[209]  N S Patil,et al.  A Survey on Graph Database Management Techniques for Huge Unstructured Data , 2018 .

[210]  Rodrigo Caetano Rocha,et al.  Distributed cycle detection in large-scale sparse graphs , 2015 .

[211]  Jean-Loup Guillaume,et al.  Fast unfolding of communities in large networks , 2008, 0803.0476.

[212]  Enrico Motta,et al.  The Evolution of IJHCS and CHI: A Quantitative Analysis , 2019, Int. J. Hum. Comput. Stud..

[213]  Jiebo Luo,et al.  A picture tells a thousand words - About you! User interest profiling from user generated visual content , 2015, Signal Process..

[214]  José-Luis Zechinelli-Martini,et al.  Enacting Data Science Pipelines for Exploring Graphs: From Libraries to Studios , 2020, ADBIS/TPDL/EDA Workshops.

[215]  Hugo Alatrista Salas,et al.  Public Riots in Twitter: Domain-Based Event Filtering During Civil Unrest , 2020, ADBIS/TPDL/EDA Workshops.

[216]  Ling Liu,et al.  Encyclopedia of Database Systems , 2009, Encyclopedia of Database Systems.

[217]  Erik Schultes,et al.  The FAIR Guiding Principles for scientific data management and stewardship , 2016, Scientific Data.

[218]  Chris Reed,et al.  Combining Argument Mining Techniques , 2015, ArgMining@HLT-NAACL.

[219]  Jacques Wainer,et al.  Algorithms for anomaly detection of traces in logs of process aware information systems , 2013, Inf. Syst..

[220]  Daniel Barbará,et al.  Sleepers and workaholics: Caching strategies in mobile environments (Extended version) , 1995, The VLDB Journal.

[221]  Dong Nguyen,et al.  "How Old Do You Think I Am?" A Study of Language and Age in Twitter , 2013, ICWSM.

[222]  Rosângela Silva.  Bancos de dados geográficos: uma análise das arquiteturas dual (Spring) e integrada (Oracle Spatial). , 2002 .

[223]  Paolo Manghi,et al.  The data-literature interlinking service: Towards a common infrastructure for sharing data-article links , 2017, Program.

[224]  J. Srivastava,et al.  Mining Temporally Evolving Graphs , 2004 .

[225]  Kurt Rothermel,et al.  GraphCEP: real-time data analytics using parallel complex event and graph processing , 2016, DEBS.

[226]  Matthew Lease,et al.  Inferring missing relevance judgments from crowd workers via probabilistic matrix factorization , 2012, SIGIR '12.

[227]  Wil M. P. van der Aalst,et al.  Data Science in Action , 2016 .

[228]  Sean Gurd.  Philology and Greek Literature , 2015 .

[229]  Yannis Manolopoulos,et al.  Gazing at the skyline for star scientists , 2016, J. Informetrics.

[230]  Oa Us Epa.  Climate Change Indicators: Greenhouse Gases , 2015 .

[231]  Donald B. Johnson,et al.  Finding All the Elementary Circuits of a Directed Graph , 1975, SIAM J. Comput..

[232]  Tianyu Wo,et al.  Strong simulation , 2014, ACM Trans. Database Syst..

[233]  Enrico Motta,et al.  How are topics born? Understanding the research dynamics preceding the emergence of new areas , 2017, PeerJ Comput. Sci..

[234]  John Lygeros,et al.  A probabilistic approach to aircraft conflict detection , 2000, IEEE Trans. Intell. Transp. Syst..

[235]  Jure Leskovec,et al.  Information diffusion and external influence in networks , 2012, KDD.

[236]  Dietmar Lampert,et al.  Initial Set of Open Digital Science indicators , 2016 .

[237]  Michaël Rusinowitch,et al.  You are what emojis say about your pictures: language-independent gender inference attack on Facebook , 2020, SAC.

[238]  Joost Ellerbroek,et al.  BlueSky ATC Simulator Project: An Open Data and Open Source Approach , 2016 .

[239]  Todd W. Mummert,et al.  Runway : machine learning model experiment management tool , 2018 .

[240]  Rik Eshuis,et al.  Verifying the manipulation of data objects according to business process and data models , 2020, Knowledge and Information Systems.

[241]  Walid G. Aref,et al.  An Investigation of Grid-enabled Tree Indexes for Spatial Query Processing , 2019, SIGSPATIAL/GIS.

[242]  Pierre Vandergheynst,et al.  Wavelets on Graphs via Spectral Graph Theory , 2009, ArXiv.

[243]  Adriana Marotta,et al.  Data Warehouse Quality Assessment Using Contexts , 2016, WISE.

[244]  Elisabeth Mahase.  Covid-19: death rate is 0.66% and increases with age, study estimates , 2020, BMJ.

[245]  Benjamin Renoust,et al.  Multiplex flows in citation networks , 2017, Applied Network Science.

[246]  Vangelis Karkaletsis,et al.  Argument Extraction from News , 2015, ArgMining@HLT-NAACL.

[247]  Lefteris Angelis,et al.  On the necessity of multiple university rankings , 2019, COLLNET Journal of Scientometrics and Information Management.

[248]  Li-Der Jeng,et al.  An interactive multimedia storybook demonstration system , 2014, Multimedia Tools and Applications.

[249]  Christos Faloutsos,et al.  Netprobe: a fast and scalable system for fraud detection in online auction networks , 2007, WWW '07.

[250]  Xiaoying Wu,et al.  Evaluating Mixed Patterns on Large Data Graphs Using Bitmap Views , 2019, DASFAA.

[251]  A. V. Van rij,et al.  Measuring abdominal aortic diameters in routine abdominal computed tomography scans and implications for abdominal aortic aneurysm screening , 2017, Journal of vascular surgery.

[252]  Carlo Curino,et al.  And what can context do for data? , 2009, Commun. ACM.

[253]  Semyon Grigorev,et al.  Context-free path querying by matrix multiplication , 2017, GRADES/NDA@SIGMOD/PODS.

[254]  Paola Velardi,et al.  TermExtractor: a Web Application to Learn the Shared Terminology of Emergent Web Communities , 2007, IESA.

[255]  Jens Lehmann,et al.  DBpedia - A large-scale, multilingual knowledge base extracted from Wikipedia , 2015, Semantic Web.

[256]  A. Peldszus.  An Annotated Corpus of Argumentative Microtexts , 2015 .

[257]  Zdenek Zdráhal,et al.  CORE: Three Access Levels to Underpin Open Access , 2012, D Lib Mag..

[258]  S. E. Jackson.  The consequences of diversity in multidisciplinary work teams , 1996 .

[259]  Kagan Tumer,et al.  A multiagent approach to managing air traffic flow , 2010, Autonomous Agents and Multi-Agent Systems.

[260]  Patrick Valduriez,et al.  Graph Partitioning Strategies for Efficient BFS in Shared-Nothing Parallel Systems , 2010, WAIM Workshops.

[261]  János S. Petöfi,et al.  Text-grammars, text-theory and the theory of literature , 1973 .

[262]  Philip S. Yu,et al.  Graph Pattern Matching: A Join/Semijoin Approach , 2011, IEEE Transactions on Knowledge and Data Engineering.

[263]  Cristina Dutra de Aguiar Ciferri,et al.  Faster Cloud Star Joins with Reduced Disk Spill and Network Communication , 2016, ICCS.

[264]  Karol Miller,et al.  BioPARR: A software system for estimating the rupture potential index for abdominal aortic aneurysms , 2017, Scientific Reports.

[265]  S. Ankrah,et al.  Universities-Industry Collaboration: A Systematic Review , 2015 .

[266]  Moe Thandar Wynn,et al.  Responsible Process Mining - A Data Quality Perspective , 2019, BPM.

[267]  Vagelis Hristidis,et al.  ObjectRank: Authority-Based Keyword Search in Databases , 2004, VLDB.

[268]  Ciro Cattuto,et al.  Time-varying social networks in a graph database: a Neo4j use case , 2013, GRADES.

[269]  Ambuj K. Singh,et al.  Graphs-at-a-time: query language and access methods for graph databases , 2008, SIGMOD Conference.

[270]  Miles Osborne,et al.  Streaming First Story Detection with application to Twitter , 2010, NAACL.

[271]  Aleida Assmann.  Canon and archive , 2010 .

[272]  Xiaoying Wu,et al.  Efficiently Computing Homomorphic Matches of Hybrid Pattern Queries on Large Graphs , 2019, DaWaK.

[273]  Michaël Rusinowitch,et al.  Gender Inference for Facebook Picture Owners , 2019, TrustBus.

[274]  Ahmed Awad,et al.  Runtime deduction of case ID for unlabeled business process execution events , 2015, 2015 IEEE/ACS 12th International Conference of Computer Systems and Applications (AICCSA).

[275]  Lutz Bornmann,et al.  Thomas theorem in research evaluation , 2020, Scientometrics.

[276]  Sylvio Barbon Junior,et al.  Leveraging Anomaly Detection in Business Process with Data Stream Mining , 2019, iSys - Brazilian Journal of Information Systems.

[277]  Jiebo Luo,et al.  Visual cube and on-line analytical processing of images , 2010, CIKM '10.

[278]  Steffen Staab,et al.  Programming the Semantic Web , 2014, ESWC.

[279]  Lesley Wyborn,et al.  Providing Research Graph Data in JSON-LD Using Schema.org , 2017, WWW.

[280]  Jens Lehmann,et al.  DBpedia: A Nucleus for a Web of Open Data , 2007, ISWC/ASWC.

[281]  Cristina Dutra de Aguiar Ciferri,et al.  Healthcare Decision-Making Over a Geographic, Socioeconomic, and Image Data Warehouse , 2020, ADBIS/TPDL/EDA Workshops.

[282]  Martin A. Musicante,et al.  Recursive Expressions for SPARQL Property Paths , 2020, ADBIS/TPDL/EDA Workshops.

[283]  Tim Berners-Lee,et al.  Linked Data - The Story So Far , 2009, Int. J. Semantic Web Inf. Syst..

[284]  Jianwu Wang,et al.  Big data provenance: Challenges, state of the art and opportunities , 2015, 2015 IEEE International Conference on Big Data (Big Data).

[285]  Yogesh L. Simmhan,et al.  The Open Provenance Model core specification (v1.1) , 2011, Future Gener. Comput. Syst..

[286]  Bernd Heinrich,et al.  Requirements for Data Quality Metrics , 2018, ACM J. Data Inf. Qual..

[287]  M.,et al.  Statistical and Structural Approaches to Texture , 2022 .

[288]  Jure Leskovec,et al.  node2vec: Scalable Feature Learning for Networks , 2016, KDD.

[289]  Vetle I. Torvik,et al.  Self-citation is the hallmark of productive authors, of any gender , 2018, PloS one.

[290]  Miklós Krész,et al.  Temporal Network Analytics for Fraud Detection in the Banking Sector , 2020, ADBIS/TPDL/EDA Workshops.

[291]  Yang Song,et al.  An Overview of Microsoft Academic Service (MAS) and Applications , 2015, WWW.

[292]  Keisha B Peak,et al.  Database Systems: Design, Implementation, and Management , 2014 .

[293]  Le Gruenwald,et al.  Time-, Energy-, and Monetary Cost-Aware Cache Design for a Mobile-Cloud Database System , 2015, Big-O/DMAH@VLDB.

[294]  Julie Beth Lovins,et al.  Development of a stemming algorithm , 1968, Mech. Transl. Comput. Linguistics.

[295]  Mario Piattini,et al.  A Data Quality in Use model for Big Data , 2016, Future Gener. Comput. Syst..

[296]  James K. Kuchar,et al.  A review of conflict detection and resolution modeling methods , 2000, IEEE Trans. Intell. Transp. Syst..

[297]  Amita Misra,et al.  Measuring the Similarity of Sentential Arguments in Dialogue , 2016, SIGDIAL Conference.

[298]  Anthony F. J. van Raan,et al.  Fatal attraction: Conceptual and methodological problems in the ranking of universities by bibliometric methods , 2005, Scientometrics.

[299]  Pierre-Marc Jodoin,et al.  3D segmentation of abdominal aorta from CT-scan and MR images , 2012, Comput. Medical Imaging Graph..

[300]  Anna Lazarova McNab,et al.  Information Quality: The Importance of Context and Trade-Offs , 2014, 2014 47th Hawaii International Conference on System Sciences.

[301]  Enrico Motta,et al.  The Computer Science Ontology: A Large-Scale Taxonomy of Research Areas , 2018, SEMWEB.

[302]  Judith Reed,et al.  The Child in America. , 1979 .

[303]  Qing Zhu,et al.  Reachability Querying: Can It Be Even Faster? , 2017, IEEE Transactions on Knowledge and Data Engineering.

[304]  D. Cox.  The Regression Analysis of Binary Sequences , 1958 .

[305]  Mohamed Ali Kâafar,et al.  You are what you like! Information leakage through users' Interests , 2012, NDSS.

[306]  S. Sastry,et al.  Aircraft conflict prediction and resolution using Brownian motion , 1999, Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304).

[307]  Zhi-Hong Mao,et al.  Stability and performance of intersecting aircraft flows under decentralized conflict avoidance rules , 2001, IEEE Trans. Intell. Transp. Syst..

[308]  Dimitrios Skoutas,et al.  Link Prediction in Bibliographic Networks , 2020, ADBIS/TPDL/EDA Workshops.

[309]  M. Tamer Özsu,et al.  An Experimental Comparison of Pregel-like Graph Processing Systems , 2014, Proc. VLDB Endow..

[310]  Francesco Osborne,et al.  ResearchFlow: Understanding the Knowledge Flow Between Academia and Industry , 2020, EKAW.

[311]  Christos Faloutsos,et al.  Fraud Detection Using Social Network Analysis: A Case Study , 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

[312]  Enrico Motta,et al.  Klink-2: Integrating Multiple Web Sources to Generate Semantic Topic Networks , 2015, SEMWEB.

[313]  Diego Calvanese,et al.  Ontology-Driven Extraction of Event Logs from Relational Databases , 2015, Business Process Management Workshops.

[314]  Sebastian Link,et al.  Data Quality: The Role of Empiricism , 2018, SGMD.

[315]  Michael Stonebraker,et al.  Standards for graph algorithm primitives , 2014, 2013 IEEE High Performance Extreme Computing Conference (HPEC).

[316]  Andreas Peldszus,et al.  Towards segment-based recognition of argumentation structure in short texts , 2014, ArgMining@ACL.

[317]  Bin Liu,et al.  You Are Who You Know and How You Behave: Attribute Inference Attacks via Users' Social Friends and Behaviors , 2016, USENIX Security Symposium.

[318]  Libby Hemphill,et al.  Quantifying Toxicity and Verbal Violence on Twitter , 2016, CSCW Companion.

[319]  Mark von Rosing,et al.  Business Process Model and Notation - BPMN , 2015, The Complete Business Process Handbook, Vol. I.

[320]  David M. Shotton,et al.  Semantic publishing: the coming revolution in scientific journal publishing , 2009, Learn. Publ..

[321]  Vetle I. Torvik,et al.  Quantifying Conceptual Novelty in the Biomedical Literature , 2016, D Lib Mag..

[322]  Juan Enrique Ramos,et al.  Using TF-IDF to Determine Word Relevance in Document Queries , 2003 .

[323]  Christos Tryfonopoulos,et al.  BIP! Finder: Facilitating Scientific Literature Search by Exploiting Impact-Based Ranking , 2019, CIKM.

[324]  Heiko Paulheim,et al.  Knowledge graph refinement: A survey of approaches and evaluation methods , 2016, Semantic Web.

[325]  Silvia Miksch,et al.  Visual Interactive Creation, Customization, and Analysis of Data Quality Metrics , 2018, ACM J. Data Inf. Qual..

[326]  Amal Zouaq,et al.  Extraction of a Knowledge Graph from French Cultural Heritage Documents , 2020, ADBIS/TPDL/EDA Workshops.

[327]  Hai Zhuge,et al.  Scaling Hop-Based Reachability Indexing for Fast Graph Pattern Query Processing , 2014, IEEE Transactions on Knowledge and Data Engineering.

[328]  Semyon Grigorev,et al.  Context-free path querying with structural representation of result , 2016, ArXiv.

[329]  Alex Bennet,et al.  The Decision-Making Process for Complex Situations in a Complex Environment , 2008 .

[330]  Feng Xia,et al.  An Overview on Evaluating and Predicting Scholarly Article Impact , 2017, Inf..

[331]  Chris Reed,et al.  Argument Mining: A Survey , 2020, Computational Linguistics.

[332]  Wil M. P. van der Aalst,et al.  Extracting Object-Centric Event Logs to Support Process Mining on Databases , 2018, CAiSE Forum.

[333]  Peng Wei,et al.  AUTONOMOUS AIRCRAFT SEQUENCING AND SEPARATION USING HIERARCHICAL DEEP REINFORCEMENT LEARNING , 2018 .

[334]  Boudewijn F. van Dongen,et al.  Replaying history on process models for conformance checking and performance analysis , 2012, WIREs Data Mining Knowl. Discov..

[335]  Umberto Souza da Costa,et al.  LL-based query answering over RDF databases , 2019, J. Comput. Lang..

[336]  Aravind Srinivasan,et al.  'Beating the news' with EMBERS: forecasting civil unrest using open source indicators , 2014, KDD.

[337]  Vijay Kumar,et al.  Semantic Caching and Query Processing , 2003, IEEE Trans. Knowl. Data Eng..

[338]  Silvio Peroni,et al.  A Simplified Agile Methodology for Ontology Development , 2016, OWLED.

[339]  Igor Brigadir,et al.  Event Detection in Twitter using Aggressive Filtering and Hierarchical Tweet Clustering , 2014, SNOW-DC@WWW.

[340]  Alejandro A. Vaisman,et al.  Rule-Based Multidimensional Data Quality Assessment Using Contexts , 2016, DaWaK.

[341]  Benno Stein,et al.  Retrieval of the Best Counterargument without Prior Topic Knowledge , 2018, ACL.

[342]  Shamkant B. Navathe,et al.  Graph Database Design Challenges Using HPC Platforms , 2012, 2012 SC Companion: High Performance Computing, Networking Storage and Analysis.

[343]  Kunle Olukotun,et al.  EmptyHeaded: A Relational Engine for Graph Processing , 2015, ACM Trans. Database Syst..

[344]  Maumita Bhattacharya,et al.  Intelligent Financial Fraud Detection: A Comprehensive Review , 2015 .

[345]  Ajay Srinivasamurthy,et al.  Iterative Learning of Speech Recognition Models for Air Traffic Control , 2018, INTERSPEECH.

[346]  Michael Stonebraker,et al.  Big Data Visualization and Analytics: Future Research Challenges and Emerging Applications , 2020, EDBT/ICDT Workshops.

[347]  Morten Fjeld,et al.  Mixed Reality: A Survey , 2009, Human Machine Interaction.

[348]  Hal E. Hershfield,et al.  People search for meaning when they approach a new decade in chronological age , 2014, Proceedings of the National Academy of Sciences.

[349]  Ah Chung Tsoi,et al.  Face recognition: a convolutional neural-network approach , 1997, IEEE Trans. Neural Networks.

[350]  Donald Kossmann,et al.  The Skyline operator , 2001, Proceedings 17th International Conference on Data Engineering.

[351]  Nick Thieberger,et al.  Research Methods in Recording Oral Tradition: Choosing Between the Evanescence of the Digital or the Senescence of the Analog , 2018, Research Methods for the Digital Humanities.

[352]  Junho Ko,et al.  A Study on Tracking and Augmentation in Mobile AR for e-Leisure , 2018, Mob. Inf. Syst..

[353]  Inseok Hwang,et al.  Classification of Conflict Resolution Methods using Data-Mining Techniques , 2016 .

[354]  Adriana Marotta,et al.  Context-based Data Quality Metrics in Data Warehouse Systems , 2017, CLEI Electron. J..

[355]  Aurora Trinidad Ramirez Pozo,et al.  Classification of Relationship in Argumentation Using Graph Convolutional Network , 2020, ADBIS/TPDL/EDA Workshops.

[356]  Gregory M. Kellar,et al.  Comparing Topic Importance Perceptions of Industry and Business School Faculty: Is the Tail Wagging the Dog? , 2016 .

[357]  Johan Bollen,et al.  A Principal Component Analysis of 39 Scientific Impact Measures , 2009, PloS one.

[358]  Amir Aryani,et al.  Research Graph: Building a Distributed Graph of Scholarly Works using Research Data Switchboard , 2017 .

[359]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[360]  Marcelo Arenas,et al.  nSPARQL: A Navigational Language for RDF , 2008, SEMWEB.

[361]  Edsger W. Dijkstra,et al.  A note on two problems in connexion with graphs , 1959, Numerische Mathematik.

[362]  Eduardo L. Acosta.  Philology: the forgotten origins of the modern humanities , 2017 .

[363]  Robert E. Tarjan,et al.  Depth-First Search and Linear Graph Algorithms , 1972, SIAM J. Comput..

[364]  Yogesh L. Simmhan,et al.  A survey of data provenance techniques , 2005 .

[365]  Tony R. Sahama,et al.  Health big data analytics: current perspectives, challenges and potential solutions , 2014, Int. J. Big Data Intell..

[366]  Jiawei Han,et al.  Automated Phrase Mining from Massive Text Corpora , 2017, IEEE Transactions on Knowledge and Data Engineering.

[367]  Jacqueline Renée Reich,et al.  Onthological design patternsfor the integration of molecular biological information , 1999, German Conference on Bioinformatics.

[368]  Elin Röös,et al.  Analysing the carbon footprint of food , 2013 .

[369]  Boudewijn F. van Dongen,et al.  The ProM Framework: A New Era in Process Mining Tool Support , 2005, ICATPN.

[370]  Wei Xu,et al.  DataLab: A Version Data Management and Analytics System , 2016, 2016 IEEE/ACM 2nd International Workshop on Big Data Software Engineering (BIGDSE).

[371]  Miklós Krész,et al.  Economic Network Analysis Based on Infection Models , 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

[372]  Michael Stonebraker,et al.  Operating system support for database management , 1981, CACM.

[373]  Ana-Maria Popescu,et al.  A Machine Learning Approach to Twitter User Classification , 2011, ICWSM.

[374]  H. S. Matthews,et al.  Food-miles and the relative climate impacts of food choices in the United States. , 2008, Environmental science & technology.

[375]  Douwe Kiela,et al.  Poincaré Embeddings for Learning Hierarchical Representations , 2017, NIPS.

[376]  Sander J. J. Leemans,et al.  Scalable Process Discovery with Guarantees , 2015, BMMDS/EMMSAD.

[377]  Le Gruenwald,et al.  Weighted Sum Model for Multi-Objective Query Optimization for Mobile-Cloud Database Environments , 2016, EDBT/ICDT Workshops.

[378]  E. Prud hommeaux,et al.  SPARQL query language for RDF , 2011 .

[379]  Cédric Adam,et al.  A fully automated pipeline for mining abdominal aortic aneurysm using image segmentation , 2019, Scientific Reports.

[380]  Minggong Wu,et al.  A SVM Approach of Aircraft Conflict Detection in Free Flight , 2018, Journal of Advanced Transportation.

[381]  Zorica A. Dodevska,et al.  Two Sides of Collective Decision Making - Votes from Crowd and Knowledge from Experts , 2020 .

[382]  Ian H. Witten,et al.  Topic indexing with Wikipedia , 2008 .

[383]  Yiming Zhang,et al.  SES-LSH: Shuffle-Efficient Locality Sensitive Hashing for Distributed Similarity Search , 2017, 2017 IEEE International Conference on Web Services (ICWS).

[384]  Alexandre M. Bayen,et al.  Lagrangian Delay Predictive Model for Sector-Based Air Traffic Flow , 2005 .

[385]  Nicola Guarino,et al.  Semantic Matching: Formal Ontological Distinctions for Information Organization, Extraction, and Integration , 1997, SCIE.

[386]  Kaori Fujinami,et al.  Page-Flipping Detection and Information Presentation for Implicit Interaction with a Book , 2009 .

[387]  S. P. Lloyd,et al.  Least squares quantization in PCM , 1982, IEEE Trans. Inf. Theory.

[388]  Yannis Manolopoulos,et al.  Rainbow ranking: an adaptable, multidimensional ranking method for publication sets , 2018, Scientometrics.

[389]  Siegfried Handschuh,et al.  SALT - Semantically Annotated LaTeX for scientific publications , 2007 .

[390]  Symeon Papadopoulos,et al.  SNOW 2014 Data Challenge: Assessing the Performance of News Topic Detection Methods in Social Media , 2014, SNOW-DC@WWW.

[391]  Patrick Brézillon,et al.  Understanding Context Before Using It , 2005, CONTEXT.

[392]  Berna Erol,et al.  Paper-Based Augmented Reality , 2007, 17th International Conference on Artificial Reality and Telexistence (ICAT 2007).

[393]  María Teresa Gómez López,et al.  Data State Description for the Migration to Activity-Centric Business Process Model Maintaining Legacy Databases , 2014, BIS.

[394]  Georgios Evangelidis,et al.  Three novel indirect indicators for the assessment of papers and authors based on generations of citations , 2015, Scientometrics.

[395]  Peder Olesen Larsen,et al.  The rate of growth in scientific publication and the decline in coverage provided by Science Citation Index , 2010, Scientometrics.

[396]  Geoffrey E. Hinton,et al.  Rectified Linear Units Improve Restricted Boltzmann Machines , 2010, ICML.

[397]  Gang Wang,et al.  Crowd Wisdom: The Impact of Opinion Diversity and Participant Independence on Crowd Performance , 2016, AMCIS.

[398]  Panos Kalnis,et al.  Incremental Frequent Subgraph Mining on Large Evolving Graphs , 2017, IEEE Transactions on Knowledge and Data Engineering.

[399]  Amol Deshpande,et al.  Understanding Data Science Lifecycle Provenance via Graph Segmentation and Summarization , 2018, 2019 IEEE 35th International Conference on Data Engineering (ICDE).

[400]  Umapada Pal,et al.  Duplicate open page removal from video stream of book flipping , 2013, 2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG).

[401]  Chris Welty,et al.  Discovering User Bias in Ordinal Voting Systems , 2019, WWW.

[402]  Julio C. Duarte,et al.  An interoperable service for the provenance of machine learning experiments , 2017, WI.

[403]  James Cummings.  The Text Encoding Initiative and the Study of Literature , 2013 .

[404]  Anind K. Dey,et al.  Understanding and Using Context , 2001, Personal and Ubiquitous Computing.

[405]  Samir Chatterjee,et al.  A Design Science Research Methodology for Information Systems Research , 2008 .

[406]  George H. L. Fletcher,et al.  Querying Graphs , 2018, Querying Graphs.

[407]  David Bamman,et al.  ePhilology: when the books talk to their readers 1 , 2013 .

[408]  Jianzhong Li,et al.  Graph pattern matching , 2010, Proc. VLDB Endow..

[409]  Wil M. P. van der Aalst,et al.  Conformance checking of processes based on monitoring real behavior , 2008, Inf. Syst..

[410]  Ying Cai,et al.  A generalized target-driven cache replacement policy for mobile environments , 2003, 2003 Symposium on Applications and the Internet, 2003. Proceedings..

[411]  Manasi Vartak,et al.  ModelDB: a system for machine learning model management , 2016, HILDA '16.

[412]  Silvio Peroni,et al.  OpenCitations, an infrastructure organization for open scholarship , 2019, Quantitative Science Studies.

[413]  M. Pasin,et al.  The nature.com Ontologies Portal , 2015, LISC@ISWC.

[414]  A. Warren.  Medium term conflict detection for free routing: operational concepts and requirements analysis , 1997, 16th DASC. AIAA/IEEE Digital Avionics Systems Conference. Reflections to the Future. Proceedings.

[415]  Sanaz Eidizadehakhcheloo,et al.  Your Age Revealed by Facebook Picture Metadata , 2020, ADBIS/TPDL/EDA Workshops.

[416]  Dariusz Mrozek,et al.  Soft and Declarative Fishing of Information in Big Data Lake , 2018, IEEE Transactions on Fuzzy Systems.

[417]  T. Burgess,et al.  Asking both university and industry actors about their engagement in knowledge transfer: What single-group studies of motives omit , 2013 .

[418]  Ahmed Awad,et al.  Deducing Case IDs for Unlabeled Event Logs , 2015, Business Process Management Workshops.

[419]  Amit P. Sheth,et al.  Who Should Be the Captain This Week?Leveraging Inferred Diversity-Enhanced Crowd Wisdom for a Fantasy Premier League Captain Prediction , 2019, ICWSM.

[420]  Paolo Rosso,et al.  Use of Language and Author Profiling : Identification of Gender and Age , 2013 .

[421]  Satyendra Nath Mandal,et al.  In Search of Suitable Fuzzy Membership Function in Prediction of Time Series Data , 2012 .

[422]  Jimmy Ba,et al.  Adam: A Method for Stochastic Optimization , 2014, ICLR.

[423]  David J. Hand,et al.  Statistical fraud detection: A review , 2002 .

[424]  Sirpa Kurppa,et al.  Carbon footprint of food-related activities in Finnish households , 2010 .

[425]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[426]  Anne Laurent,et al.  Fuzzy gradual patterns: What fuzzy modality for what result? , 2010, 2010 International Conference of Soft Computing and Pattern Recognition.

[427]  Zhi-Hua Zhou,et al.  Isolation Forest , 2008, 2008 Eighth IEEE International Conference on Data Mining.

[428]  Sandeep Bhatia,et al.  Data Platform for Machine Learning , 2019, SIGMOD Conference.

[429]  María Teresa Gómez López,et al.  An Architecture for Querying Business Process, Business Process Instances, and Business Data Models , 2017, Business Process Management Workshops.

[430]  Sebastian Schuster,et al.  Creating Sustainable Meals Supported by the NAHGAST Online Tool—Approach and Effects on GHG Emissions and Use of Natural Resources , 2020 .

[431]  Heinz Erzberger,et al.  Conflict probability estimation for free flight , 1997 .

[432]  Leopoldo E. Bertossi,et al.  Database Repairing and Consistent Query Answering , 2011, Database Repairing and Consistent Query Answering.

[433]  Omer F. Rana,et al.  Can We Predict a Riot? Disruptive Event Detection Using Twitter , 2017, ACM Trans. Internet Techn..

[434]  Mark Perry,et al.  Machine deep learning accurately detects endoleak after endovascular abdominal aortic aneurysm repair , 2020, JVS-vascular science.

[435]  Shou-De Lin,et al.  Time-Aware Ranking in Dynamic Citation Networks , 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

[436]  Frédéric Andrès.  The CRWB RSbench: Towards a Cooking Recipe Benchmark Initiative , 2018, 2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW).

[437]  María Teresa Gómez López,et al.  Towards the Detection of Promising Processes by Analysing the Relational Data , 2020, ADBIS/TPDL/EDA Workshops.

[438]  Jian Lin,et al.  OMProv: Provenance Mechanism for Objects in Deep Learning , 2020, ADBIS/TPDL/EDA Workshops.

[439]  Timothy R. Levine,et al.  Rankings and Trends in Citation Patterns of Communication Journals , 2010 .

[440]  Esraa Rslan,et al.  Spatial R-Tree Index Based on Grid Division for Query Processing , 2017 .

[441]  Boris Otto,et al.  Information and data quality in networked business , 2011, Electron. Mark..

[442]  Noël Crespi,et al.  Analysis of publicly disclosed information in Facebook profiles , 2013, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013).

[443]  Max Mühlhäuser,et al.  BINet: Multivariate Business Process Anomaly Detection Using Deep Learning , 2018, BPM.

[444]  Tanja Aitamurto,et al.  Unmasking the crowd: participants’ motivation factors, expectations, and profile in a crowdsourced law reform , 2017 .

[445]  Hai Zhuge,et al.  Comments on "Stack-based Algorithms for Pattern Matching on DAGs" , 2012, Proc. VLDB Endow..

[446]  Iryna Gurevych,et al.  Annotating Argument Components and Relations in Persuasive Essays , 2014, COLING.

[447]  M. S. Eby,et al.  Free flight separation assurance using distributed algorithms , 1999, 1999 IEEE Aerospace Conference. Proceedings (Cat. No.99TH8403).

[448]  Jens Lehmann,et al.  Metaresearch Recommendations using Knowledge Graph Embeddings , 2018 .

[449]  Karin Baier,et al.  The Uses Of Argument , 2016 .

[450]  Yannis Manolopoulos,et al.  Metrics and Rankings: Myths and Fallacies , 2016, DAMDID/RCDL.

[451]  Brian A. Nosek,et al.  Promoting an open research culture , 2015, Science.

[452]  Scott L. Minneman,et al.  Listen reader: an electronically augmented paper-based book , 2001, CHI.

[453]  Yiwen Zhu,et al.  Machine Learning at Microsoft with ML.NET , 2019, KDD.

[454]  Serge Abiteboul,et al.  Foundations of Databases , 1994 .

[455]  Li Chen,et al.  Stack-based Algorithms for Pattern Matching on DAGs , 2005, VLDB.

[456]  Tom Heath,et al.  Linked Data: Evolving the Web into a Global Data Space , 2011, Linked Data.

[457]  Lorraine Dong,et al.  Data dreams: planning for the future of historical medical documents , 2018, Journal of the Medical Library Association : JMLA.

[458]  Xiaoqian Sun,et al.  Efficient Compression of 4D-Trajectory Data in Air Traffic Management , 2015, IEEE Transactions on Intelligent Transportation Systems.

[459]  Abderrazak Sebaa,et al.  Medical Big Data Warehouse: Architecture and System Design, a Case Study: Improving Healthcare Resources Distribution , 2018, Journal of Medical Systems.

[460]  Tova Milo,et al.  A Natural Language Interface for Querying General and Individual Knowledge , 2015, Proc. VLDB Endow..

[461]  Douglas Walton,et al.  Argumentation Theory: A Very Short Introduction , 2009, Argumentation in Artificial Intelligence.

[462]  Gerhard Weikum,et al.  YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia: Extended Abstract , 2013, IJCAI.

[463]  Wenzhong Li,et al.  Energy-Efficient Cache Replacement Policies for Cooperative Caching in Mobile Ad Hoc Network , 2007, 2007 IEEE Wireless Communications and Networking Conference.