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. Written for scientists and graduate students, this book presents current research results on logic applications in databases that focus on new and hot application areas such as XML, web data, workflow, intelligent agents, data mining, and temporal information. The book is of interest for database and information system researchers and graduate students who will find a lot of information and resources for their work.

Up to date snapshot of current research directions in the application of logic to data management and information systems Wide coverage of application areas including hot topics like XML modeling and queries, knowledge bases, intelligent agents, workflow, and data mining Only book with such a broad and in-depth coverage of logics applications in data mangement Includes supplementary material: sn.pub/extras

Autorentext
Gunter Saake ist Professor für Informatik mit dem Schwerpunkt Datenbanktechnik an der Universität Magdeburg.

Inhalt
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.- 7.2Conceptual 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.