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More About This Textbook
Overview
In this era of heterogeneous and distributed data sources, ranging from semistructured documents to knowledge about coordination processes or workflows, logic provides a rich set of tools and techniques with which to address the questions of how to represent, query and reason about complex data.
This book provides a state-of-the-art overview of research on the application of logic-based methods to information systems, covering highly topical and emerging fields: XML programming and querying, intelligent agents, workflow modeling and verification, data integration, temporal and dynamic information, data mining, authorization, and security. It provides both scientists and graduate students with a wealth of material and references for their own research and education.
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Table of Contents
1 XML: Model, Schemas, Types, Logics, and Queries.- 1.1 Introduction.- 1.2 XML Fundamentals.- 1.3 XML Schema Notations.- 1.4 Programming and Querying XML.- 1.5 The Theory of Regular Tree Languages.- 1.6 XML Query Languages versus Automata and Logic.- 1.7 Conclusion.- References.- 2 Query Answering in Inconsistent Databases.- 2.1 Introduction.- 2.2 Consistent Query Answers.- 2.3 Query Transformation.- 2.4 SpecifYing Database Repairs.- 2.5 Computational Complexity.- 2.6 Aggregation Queries.- 2.7 Related Work.- 2.8 Conclusions and Future Work.- References.- 3 Declarative Update Policies for Nonmonotonic Knowledge Bases.- 3.1 Introduction.- 3.2 Preliminaries.- 3.3 Framework and Language.- 3.4 Properties.- 3.5 Implementation and Update Agents.- 3.6 Extensions.- 3.7 Related Work.- 3.8 Conclusion.- References.- 4 Intelligent Agents: Issues and Logics.- 4.1 Introduction.- 4.2 Issues.- 4.3 Epistemic and Doxastic Logic.- 4.4 Desires and Intentions.- 4.5 Cohen and Levesque’s Logic of Intention.- 4.6 BDI Logic.- 4.7 KARO Logic.- 4.8 Logics for Multi-Agent Systems.- 4.9 Conclusion.- References and Further Readings.- 5 Logic Based Approaches to Workflow Modeling and Verification.- 5.1 Introduction.- 5.2 Preliminaries.- 5.3 Modeling Workflows with Temporal Logic.- 5.4 Modeling Workflows Using Event Algebra.- 5.5 Workflow Modeling Using Concurrent Transaction Logic.- 5.6 Other Uses of Logic in Workflow Modeling.- 5.7 Conclusion.- References.- 6 Logical Data Expiration.- 6.1 Introduction.- 6.2 Framework for Data Expiration.- 6.3 Administrative Approaches to Data Expiration.- 6.4 Query-Driven Approaches to Data Expiration.- 6.5 Potentially Infinite Histories.- 6.6 Related Work.- 6.7 Conclusion.- References.- 7 Description Logics for Modeling Dynamic Information.- 7.1 Introduction.- 7.2 Conceptual Modeling of Dynamic Information.- 7.3 Description Logics.- 7.4 ERVT : A Formal Temporal Conceptual Model.- 7.5 An Object-Oriented Data Model for Evolving Schemas.- 7.6 Conclusion.- References.- 8 Logics for Authorizations and Security.- 8.1 Introduction.- 8.2 Preliminaries on Security Formalizations.- 8.3 Logic-Based Policy Specification Languages.- 8.4 Policy Evaluation and Verification.- 8.5 Other Applications of Logic to Security.- 8.6 Conclusion and Perspective.- References.- 9 Logical Languages for Data Mining.- 9.1 Introduction.- 9.2 The Search for Knowledge in Databases.- 9.3 Inductive Databases.- 9.4 Induction of Logic Programs.- 9.5 Multirelational Data Mining.- 9.6 A Vision of Convergence.- 9.7 Conclusion.- References.