Conceptual modeling in the era of Big Data and Artificial Intelligence: Research topics and introduction to the special issue

[1]  Veda C. Storey,et al.  Research on conceptual modeling: Themes, topics, and introduction to the special issue , 2015, Data Knowl. Eng..

[2]  Arturo Castellanos,et al.  From Representation to Mediation: A New Agenda for Conceptual Modeling Research in a Digital World , 2020, MIS Q..

[3]  Giancarlo Guizzardi,et al.  Ontological anti-patterns: empirically uncovered error-prone structures in ontology-driven conceptual models , 2015, Data Knowl. Eng..

[4]  José Fabián Reyes Román,et al.  Using conceptual modeling to improve genome data management , 2020, Briefings Bioinform..

[5]  Veda C. Storey,et al.  Evaluating Domain Ontologies , 2019, ACM Comput. Surv..

[6]  Ron Weber,et al.  On the deep structure of information systems , 1995, Inf. Syst. J..

[7]  Mohamed A. Sharaf,et al.  Efficient Recommendation of Aggregate Data Visualizations , 2018, IEEE Transactions on Knowledge and Data Engineering.

[8]  Veda C. Storey,et al.  Naive Semantics to Support Automated Database Design , 2002, IEEE Trans. Knowl. Data Eng..

[9]  Sandeep Purao,et al.  A multi-layered ontology for comparing relationship semantics in conceptual models of databases , 2005, Appl. Ontology.

[10]  Gerd Wagner,et al.  Towards ontological foundations for conceptual modeling: The unified foundational ontology (UFO) story , 2015, Appl. Ontology.

[11]  Oscar Pastor,et al.  Comparing traditional conceptual modeling with ontology-driven conceptual modeling: An empirical study , 2019, Inf. Syst..

[12]  Il-Yeol Song,et al.  A UML profile for multidimensional modeling in data warehouses , 2006, Data Knowl. Eng..

[13]  Giancarlo Guizzardi,et al.  From reference ontologies to ontology patterns and back , 2017, Data Knowl. Eng..

[14]  Vijayan Sugumaran,et al.  Ontologies for conceptual modeling: their creation, use, and management , 2002, Data Knowl. Eng..

[15]  Sylvio Barbon Junior,et al.  Anomaly Detection on Event Logs with a Scarcity of Labels , 2020, 2020 2nd International Conference on Process Mining (ICPM).

[16]  David W. Embley,et al.  Ontology-based extraction and structuring of information from data-rich unstructured documents , 1998, CIKM '98.

[17]  Ron Weber,et al.  An Ontological Model of an Information System , 1990, IEEE Trans. Software Eng..

[18]  Gerd Wagner,et al.  Some Applications of a Unified Foundational Ontology in Business Modeling , 2005 .

[19]  Giancarlo Guizzardi,et al.  Ontology, Ontologies and the “I” of FAIR , 2020, Data Intelligence.

[20]  Ernesto Damiani,et al.  Toward Model-Based Big Data-as-a-Service: The TOREADOR Approach , 2017, ADBIS.

[21]  Giancarlo Guizzardi,et al.  On Ontology, ontologies, Conceptualizations, Modeling Languages, and (Meta)Models , 2007, DB&IS.

[22]  Sandeep Purao,et al.  Data-Driven Meets Theory-Driven Research in the Era of Big Data: Opportunities and Challenges for Information Systems Research , 2018, J. Assoc. Inf. Syst..

[23]  Hai Jin,et al.  Leveraging the Dynamic Changes from Items to Improve Recommendation , 2018, ER.

[24]  Oscar Pastor,et al.  A Reference Framework for Conceptual Modeling , 2018, ER.

[25]  Laila Niedrite,et al.  Information Requirements for Big Data Projects: A Review of State-of-the-Art Approaches , 2018, DB&IS.

[26]  V. Storey,et al.  Foundations of information technology based on Bunge’s systemist philosophy of reality , 2021, Softw. Syst. Model..

[27]  Bayu Hendradjaya,et al.  Modeling the requirements for big data application using goal oriented approach , 2014, 2014 International Conference on Data and Software Engineering (ICODSE).

[28]  Chen Lin,et al.  Realtime Event Summarization from Tweets with Inconsistency Detection , 2018, ER.

[29]  Stefano Rizzi,et al.  Visualization Requirements for Business Intelligence Analytics: A Goal-Based, Iterative Framework , 2019, 2019 IEEE 27th International Requirements Engineering Conference (RE).

[30]  Ernesto Damiani,et al.  A Model-Driven Methodology for Big Data Analytics-as-a-Service , 2017, 2017 IEEE International Congress on Big Data (BigData Congress).

[31]  Lei Wang,et al.  CRAN: A Hybrid CNN-RNN Attention-Based Model for Text Classification , 2018, ER.

[32]  Xuan Wang,et al.  Mining Rules with Constants from Large Scale Knowledge Bases , 2018, ER.

[33]  Mirella M. Moro,et al.  An analysis of the collaboration network of the International Conference on Conceptual Modeling at the Age of 40 , 2020, Data Knowl. Eng..

[34]  David W. Embley,et al.  Big Data - Conceptual Modeling to the Rescue , 2013, ER.

[35]  Juan Trujillo,et al.  An Iterative Methodology for Defining Big Data Analytics Architectures , 2020, IEEE Access.

[36]  Sandeep Purao,et al.  Understanding Relationships: Classifying Verb Phrase Semantics , 2004, ER.

[37]  Sergio Orenga-Roglá,et al.  Methodology for the Implementation of Knowledge Management Systems 2.0 , 2019, Bus. Inf. Syst. Eng..

[38]  Wolfgang Maass,et al.  Inductive Discovery by Machine Learning for Identification of Structural Models , 2018, ER.

[39]  Juan Trujillo,et al.  Requirements-Driven Visualizations for Big Data Analytics: A Model-Driven Approach , 2019, ER.

[40]  Walid G. Aref,et al.  Digital government security infrastructure design challenges , 2001 .

[41]  Wolfram Wöß,et al.  An analysis of ontologies and their success factors for application to business , 2016, Data Knowl. Eng..

[42]  Houda Daki,et al.  Big Data management in smart grid: concepts, requirements and implementation , 2017, Journal of Big Data.

[43]  Vijayan Sugumaran,et al.  The role of domain ontologies in database design: An ontology management and conceptual modeling environment , 2006, TODS.

[44]  Yair Wand,et al.  Theoretical foundations for conceptual modelling in information systems development , 1995, Decis. Support Syst..

[45]  Sooyong Park,et al.  IRIS: A goal-oriented big data analytics framework on Spark for better Business decisions , 2017, 2017 IEEE International Conference on Big Data and Smart Computing (BigComp).

[46]  Carola Eschenbach,et al.  Formal Ontology in Information Systems , 2008 .

[47]  Marta Indulska,et al.  A Reference Methodology for Conducting Ontological Analyses , 2004, ER.

[48]  Juan Trujillo,et al.  An Approach to Automatically Detect and Visualize Bias in Data Analytics , 2020, DOLAP.

[49]  Vijayan Sugumaran,et al.  Assessing the quality of domain ontologies: Metrics and an automated ranking system , 2018, Data Knowl. Eng..

[50]  Francesco Di Tria,et al.  Evaluation of Data Warehouse Design Methodologies in the Context of Big Data , 2017, DaWaK.

[51]  Xuesong Zhao,et al.  A Study on the Applications of Big Data in Cross-Border E-Commerce , 2018, 2018 IEEE 15th International Conference on e-Business Engineering (ICEBE).

[52]  Carson C. Woo,et al.  The Role of Conceptual Modeling in Managing and Changing the Business , 2011, ER.

[53]  Wolfgang Maass,et al.  Pairing Conceptual Modeling with Machine Learning , 2021, Data Knowl. Eng..

[54]  Sylvio Barbon Junior,et al.  Evaluating Trace Encoding Methods in Process Mining , 2020, DataMod@CIKM.

[55]  Yair Wand,et al.  Choosing classes in conceptual modeling , 1997, CACM.

[56]  G. Lakoff,et al.  The Brain's concepts: the role of the Sensory-motor system in conceptual knowledge , 2005, Cognitive neuropsychology.

[57]  Carlos Ordonez,et al.  The contribution of linked open data to augment a traditional data warehouse , 2020, Journal of Intelligent Information Systems.

[58]  Vijayan Sugumaran,et al.  Usability of upper level ontologies: The case of ResearchCyc , 2010, Data Knowl. Eng..

[59]  Ron Weber,et al.  Conceptual Modeling and Ontology: Possibilities and Pitfalls , 2003, J. Database Manag..

[60]  Veda C. Storey,et al.  Conceptual Modeling Meets Domain Ontology Development: A Reconciliation , 2017, J. Database Manag..

[61]  Nicola GUARINO,et al.  On the Philosophical Foundations of Conceptual Models , 2019, EJC.

[62]  Giancarlo Guizzardi,et al.  Breaking into pieces: An ontological approach to conceptual model complexity management , 2018, 2018 12th International Conference on Research Challenges in Information Science (RCIS).

[63]  M. Bunge.  Treatise on basic philosophy , 1974 .

[64]  Vijayan Sugumaran,et al.  A semiotic metrics suite for assessing the quality of ontologies , 2005, Data Knowl. Eng..

[65]  Oscar Pastor,et al.  Applying the Principles of an Ontology-Based Approach to a Conceptual Schema of Human Genome , 2013, ER.

[66]  Fuyuki Ishikawa.  Concepts in Quality Assessment for Machine Learning - From Test Data to Arguments , 2018, ER.

[67]  Ian Horrocks,et al.  Optique: OBDA Solution for Big Data , 2013, ESWC.

[68]  Haiming Chen,et al.  Learning Restricted Regular Expressions with Interleaving from XML Data , 2018, ER.

[69]  Roman Lukyanenko,et al.  Expecting the Unexpected: Effects of Data Collection Design Choices on the Quality of Crowdsourced User-Generated Content , 2019, MIS Q..

[70]  Nicola Guarino,et al.  An Ontological Analysis of Value Propositions , 2017, 2017 IEEE 21st International Enterprise Distributed Object Computing Conference (EDOC).

[71]  Diego López-de-Ipiña,et al.  Exploring LOD through metadata extraction and data-driven visualizations , 2016, Program.

[72]  Pär J. Ågerfalk,et al.  Speaking things into existence: Ontological foundations of identity representation and management , 2021, Inf. Syst. J..

[73]  Yair Wand,et al.  Emancipating instances from the tyranny of classes in information modeling , 2000, TODS.

[74]  Stefano Ceri,et al.  From a Conceptual Model to a Knowledge Graph for Genomic Datasets , 2019, ER.

[75]  Erik Perjons,et al.  An Ontological Analysis of the Notion of Treatment , 2020, ER.

[76]  Alessandro Campi,et al.  Conceptual Modeling for Genomics: Building an Integrated Repository of Open Data , 2017, ER.

[77]  Matteo Golfarelli,et al.  The Dimensional Fact Model: A Conceptual Model for Data Warehouses , 1998, Int. J. Cooperative Inf. Syst..

[78]  Jose-Norberto Mazón,et al.  An MDA approach for the development of data warehouses , 2008, Decis. Support Syst..

[79]  Matteo Golfarelli,et al.  A model-driven approach to automate data visualization in big data analytics , 2019, Inf. Vis..

[80]  Juan Trujillo,et al.  An iterative methodology for big data management, analysis and visualization , 2015, 2015 IEEE International Conference on Big Data (Big Data).

[81]  Stefano Ceri,et al.  Ontology-driven metadata enrichment for genomic datasets , 2018, SWAT4LS.

[82]  Veda C. Storey,et al.  Business Intelligence and Analytics: From Big Data to Big Impact , 2012, MIS Q..