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Table of Contents
Acknowledgments; Contents; 1 Ontology-Based Data Access with Datalog+/-; 1.1 Description Logics; 1.2 Ontology-Based Data Access (OBDA); 1.3 The Datalog+/- Family of Ontology Languages; 1.3.1 Preliminary Concepts and Notations; 1.3.2 Syntax and Semantics of Datalog+/-; 1.3.2.1 Conjunctive Query Answering; 1.3.2.2 The TGD Chase; 1.3.2.3 Computational Complexity; 1.3.3 Datalog+/- Fragments: Towards Decidability and Tractability; References; 2 Models for Representing User Preferences; 2.1 Basic Definitions and Notation; 2.2 Preferences à la Databases; 2.2.1 Relational Databases
2.2.2 Ontology Languages2.2.3 Models for Uncertain Preferences; 2.3 Preferences à la Philosophy and Related Disciplines; 2.4 Final Notes; References; 3 Subjective Data: Model and Query Answering; 3.1 A Logic-Based Data Model; 3.1.1 Trust Measures over Reports; 3.1.2 Relevance of Reports; 3.2 Query Answering Based on Subjective Reports; 3.2.1 A Basic Approach; 3.2.2 Leveraging Trust and Relevance to a Greater Extent; 3.3 Towards More General Reports; References; 4 Related Research Lines; 4.1 Assessing the Impact of Reviews; 4.2 Fraud and Spam Detection; 4.3 Review Summarization
4.4 Fact Finding and Inconsistency Detection4.5 Improving Recommender Systems Leveraging Review Text; References
2.2.2 Ontology Languages2.2.3 Models for Uncertain Preferences; 2.3 Preferences à la Philosophy and Related Disciplines; 2.4 Final Notes; References; 3 Subjective Data: Model and Query Answering; 3.1 A Logic-Based Data Model; 3.1.1 Trust Measures over Reports; 3.1.2 Relevance of Reports; 3.2 Query Answering Based on Subjective Reports; 3.2.1 A Basic Approach; 3.2.2 Leveraging Trust and Relevance to a Greater Extent; 3.3 Towards More General Reports; References; 4 Related Research Lines; 4.1 Assessing the Impact of Reviews; 4.2 Fraud and Spam Detection; 4.3 Review Summarization
4.4 Fact Finding and Inconsistency Detection4.5 Improving Recommender Systems Leveraging Review Text; References