Ontology-Based Data Access Leveraging Subjective Reports

[1]  Osmar R. Zaïane,et al.  Current State of Text Sentiment Analysis from Opinion to Emotion Mining , 2017, ACM Comput. Surv..

[2]  Greg Linden,et al.  Two Decades of Recommender Systems at Amazon.com , 2017, IEEE Internet Computing.

[3]  Leopoldo E. Bertossi,et al.  The Ontological Multidimensional Data Model , 2017, AMW.

[4]  Stephan Ludwig,et al.  Analyzing Online Reviews Through the Lens of Speech Act Theory: Implications for Consumer Sentiment Analysis , 2016 .

[5]  Wei Zhang,et al.  Collaborative Multi-Level Embedding Learning from Reviews for Rating Prediction , 2016, IJCAI.

[6]  Yiqun Liu,et al.  Rating-Boosted Latent Topics: Understanding Users and Items with Ratings and Reviews , 2016, IJCAI.

[7]  Thomas Lukasiewicz,et al.  Probabilistic Models over Weighted Orderings: Fixed-Parameter Tractable Variable Elimination , 2016, KR.

[8]  Erik Cambria,et al.  Affective Computing and Sentiment Analysis , 2016, IEEE Intelligent Systems.

[9]  Kim Schouten,et al.  Survey on Aspect-Level Sentiment Analysis , 2016, IEEE Transactions on Knowledge and Data Engineering.

[10]  Benjamin Van Durme,et al.  Microsummarization of Online Reviews: An Experimental Study , 2016, AAAI.

[11]  Aphrodite Tsalgatidou,et al.  Reputation Systems Evaluation Survey , 2015, ACM Comput. Surv..

[12]  Ting Liu,et al.  User Modeling with Neural Network for Review Rating Prediction , 2015, IJCAI.

[13]  Forrest Sheng Bao,et al.  Semantic Analysis and Helpfulness Prediction of Text for Online Product Reviews , 2015, ACL.

[14]  Jure Leskovec,et al.  Inferring Networks of Substitutable and Complementary Products , 2015, KDD.

[15]  Andrea Giovanni Nuzzolese,et al.  Sentilo: Frame-Based Sentiment Analysis , 2015, Cognitive Computation.

[16]  Thomas Lukasiewicz,et al.  Probabilistic Preference Logic Networks , 2014, ECAI.

[17]  Xiaolin Zheng,et al.  Personalized recommendation based on review topics , 2014, Service Oriented Computing and Applications.

[18]  Jure Leskovec,et al.  Hidden factors and hidden topics: understanding rating dimensions with review text , 2013, RecSys.

[19]  Sul-Young Choi,et al.  Elections with partially ordered preferences , 2013 .

[20]  Thomas Lukasiewicz,et al.  Reasoning with Semantic-Enabled Qualitative Preferences , 2013, SUM.

[21]  Thomas Lukasiewicz,et al.  Preference-Based Query Answering in Probabilistic Datalog+/– Ontologies , 2013, Journal on Data Semantics.

[22]  Georg Gottlob,et al.  Query answering under probabilistic uncertainty in Datalog+ / − ontologies , 2013, Annals of Mathematics and Artificial Intelligence.

[23]  Bruno Zanuttini,et al.  Probabilistic Conditional Preference Networks , 2013, UAI.

[24]  Abhinav Kumar,et al.  Spotting opinion spammers using behavioral footprints , 2013, KDD.

[25]  Thomas Lukasiewicz,et al.  Preference-Based Query Answering in Datalog+/- Ontologies , 2013, Description Logics.

[26]  Chunyan Miao,et al.  A Survey of Multi-Agent Trust Management Systems , 2013, IEEE Access.

[27]  Huan Liu,et al.  Provenance Data in Social Media , 2013, Synthesis Lectures on Data Mining and Knowledge Discovery.

[28]  Emanuele Della Valle,et al.  Efficient Execution of Top-K SPARQL Queries , 2012, SEMWEB.

[29]  Hans-Peter Kriegel,et al.  Fast Group Recommendations by Applying User Clustering , 2012, ER.

[30]  Toby Walsh,et al.  Winner determination in voting trees with incomplete preferences and weighted votes , 2011, Autonomous Agents and Multi-Agent Systems.

[31]  Georgia Koutrika,et al.  A survey on representation, composition and application of preferences in database systems , 2011, TODS.

[32]  Koji Yatani,et al.  Analysis of Adjective-Noun Word Pair Extraction Methods for Online Review Summarization , 2011, IJCAI.

[33]  Souhila Kaci,et al.  Working with Preferences: Less Is More , 2011, Cognitive Technologies.

[34]  Claire Cardie,et al.  Finding Deceptive Opinion Spam by Any Stretch of the Imagination , 2011, ACL.

[35]  Ling Chen,et al.  Efficiently Evaluating Skyline Queries on RDF Databases , 2011, ESWC.

[36]  Xi Zhang,et al.  Preference queries over sets , 2011, 2011 IEEE 27th International Conference on Data Engineering.

[37]  Ee-Peng Lim,et al.  Detecting product review spammers using rating behaviors , 2010, CIKM.

[38]  Luc Moreau,et al.  The Foundations for Provenance on the Web , 2010, Found. Trends Web Sci..

[39]  Dan Roth,et al.  Knowing What to Believe (when you already know something) , 2010, COLING.

[40]  Cong Yu,et al.  Group Recommendation: Semantics and Efficiency , 2009, Proc. VLDB Endow..

[41]  Toby Walsh,et al.  Aggregating Partially Ordered Preferences , 2009, J. Log. Comput..

[42]  James Cheney,et al.  Provenance in Databases: Why, How, and Where , 2009, Found. Trends Databases.

[43]  I. Vermeulen,et al.  Tried and tested: The impact of online hotel reviews on consumer consideration , 2009 .

[44]  Michael R. Lyu,et al.  SoRec: social recommendation using probabilistic matrix factorization , 2008, CIKM '08.

[45]  Bing Liu,et al.  Analyzing and Detecting Review Spam , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

[46]  Gerhard Brewka,et al.  Preferences, Contexts and Answer Sets , 2007, ICLP.

[47]  Philip S. Yu,et al.  Truth Discovery with Multiple Conflicting Information Providers on the Web , 2007, IEEE Transactions on Knowledge and Data Engineering.

[48]  Jeff Z. Pan,et al.  Querying the Semantic Web with Preferences , 2006, SEMWEB.

[49]  Nic Wilson,et al.  Extending CP-Nets with Stronger Conditional Preference Statements , 2004, AAAI.

[50]  Jan Chomicki,et al.  Preference formulas in relational queries , 2003, TODS.

[51]  Ronald Fagin,et al.  Comparing top k lists , 2003, SODA '03.

[52]  Alberto O. Mendelzon,et al.  OLAP dimension constraints , 2002, PODS '02.

[53]  Kannan Govindarajan,et al.  Preference queries in deductive databases , 2001, New Generation Computing.

[54]  M. Lacroix,et al.  Preferences; Putting More Knowledge into Queries , 1987, VLDB.

[55]  Alain Pirotte,et al.  ILL: an English structured query language for relational data bases , 1977, SGAR.

[56]  Prasanta K. Pattanaik,et al.  Voting and collective choice : some aspects of the theory of group decision-making , 1973 .

[57]  Cara Foster-Karim,et al.  A (Short) History of Social Media Sentiment Analysis , 2016 .

[58]  Boi Faltings,et al.  Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence Recommendation Using Textual Opinions , 2022 .

[59]  Francesca Rossi,et al.  Dynamic Probabilistic CP-nets , 2013, IJCAI 2013.

[60]  Werner Kießling,et al.  The Preference SQL System - An Overview , 2011, IEEE Data Eng. Bull..

[61]  Toby Walsh,et al.  A Short Introduction to Preferences: Between Artificial Intelligence and Social Choice , 2011, A Short Introduction to Preferences.

[62]  M. Pagnucco,et al.  Exploiting Ontological Information for Reasoning with Preferences , 2008 .

[63]  Alan D. Taylor,et al.  Social choice and the mathematics of manipulation , 2005 .

[64]  Craig Boutilier,et al.  CP-nets: a tool for represent-ing and reasoning with conditional ceteris paribus state-ments , 2004 .

[65]  Barbara Messing,et al.  An Introduction to MultiAgent Systems , 2002, Künstliche Intell..

[66]  John Wylie Lloyd,et al.  Foundations of Logic Programming , 1987, Symbolic Computation.