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Table of contents (8 chapters)
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Front Matter
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Introduction
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Knowledge Base Systems
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Front Matter
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Parallel Database and Knowledge Base Systems
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Front Matter
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Back Matter
Keywords
About this book
Knowledge is the most valuable of all corporate resources that must be captured, stored, re-used and continuously improved, in much the same way as database systems were important in the previous decade.
Flexible, extensible, and yet efficient Knowledge Base Systems are needed to capture the increasing demand for knowledge-based applications which will become a significant market in the next decade.
Knowledge can be expressed in many static and dynamic forms; the most prominent being domain objects, their relationships, and their rules of evolution and transformation. It is important to express and seamlessly use all types of knowledge in a single Knowledge Base System.
Parallel, Object-Oriented, and Active Knowledge Base Systems presents in detail features that a Knowledge Base System should have in order to fulfill the above requirements.
Parallel, Object-Oriented, and Active Knowledge Base Systems covers in detail the following topics:
- Integration of deductive, production, and active rules in sequential database systems.
- Integration and inter-operation of multiple rule types into the same Knowledge Base System.
- Parallel rule matching and execution, for deductive, production, and active rules, in parallel Export, Knowledge Base, and Database Systems.
- In-depth description of a Parallel, Object-Oriented, and Active Knowledge Base System that integrates all rule paradigms into a single database system without hindering performance.
Parallel, Object-Oriented, and Active Knowledge Base Systems is intended as a graduate-level text for a course on Knowledge Base Systems and as a reference for researchers and practitioners in the areas of database systems, knowledge base systems and Artificial Intelligence.
Authors and Affiliations
Bibliographic Information
Book Title: Parallel, Object-Oriented, and Active Knowledge Base Systems
Authors: Ioannis Vlahavas, Nick Bassiliades
Series Title: Advances in Database Systems
DOI: https://doi.org/10.1007/978-1-4757-6134-4
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1998
Hardcover ISBN: 978-0-7923-8117-4Published: 28 February 1998
Softcover ISBN: 978-1-4419-5029-1Published: 07 December 2010
eBook ISBN: 978-1-4757-6134-4Published: 09 March 2013
Series ISSN: 1386-2944
Edition Number: 1
Number of Pages: XV, 152
Topics: Data Structures and Information Theory, Artificial Intelligence, Information Storage and Retrieval