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About this book
In the past, applied artificial intelligence systems were built with particular emphasis on general reasoning methods intended to function efficiently, even when only relatively little domain-specific knowledge was available. In other words, AI technology aimed at the processing of knowledge stored under comparatively general representation schemes. Nowadays, the focus has been redirected to the role played by specific and detailed knowledge, rather than to the reasoning methods themselves. Many new application systems are centered around knowledge bases, i. e. , they are based on large collections offacts, rules, and heuristics that cap ture knowledge about a specific domain of applications. Experience has shown that when used in combination with rich knowledge bases, even simple reasoning methods can be extremely effective in a wide variety of problem domains. Knowledge base construction and management will thus become the key factor in the development of viable knowledge-based ap plications. Knowledge Base Management Systems (KBMSs) are being proposed that provide user-friendly environments for the construction, retrieval, and manipUlation of large shared knowledge bases. In addition to deductive reasoning, KBMSs require operational characteristics such as concurrent access, integrity maintenance, error recovery, security, and perhaps distribution. For the development ofKBMSs, the need to integrate concepts and technologies from different areas, such as Artificial Intel ligence, Databases, and Logic, has been widely recognized. One of the central issues for KBMSs is the framework used for knowledge representation-semantic networks, frames, rules, and logics are proposed by the AI and logic communities.
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Table of contents (25 chapters)
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Front Matter
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Logic and Knowledge Representation
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Front Matter
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From Data to Facts and Rules
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Front Matter
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Architectural Issues in Data and Knowledge Base Integration
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Front Matter
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Editors and Affiliations
Bibliographic Information
Book Title: Foundations of Knowledge Base Management
Book Subtitle: Contributions from Logic, Databases, and Artificial Intelligence Applications
Editors: Joachim W. Schmidt, Constantino Thanos
Series Title: Topics in Information Systems
DOI: https://doi.org/10.1007/978-3-642-83397-7
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1989
Softcover ISBN: 978-3-642-83399-1Published: 16 January 2012
eBook ISBN: 978-3-642-83397-7Published: 06 December 2012
Series ISSN: 1431-9365
Edition Number: 1
Number of Pages: XIV, 579
Topics: Database Management, Models and Principles, Information Systems Applications (incl. Internet), Programming Techniques, Artificial Intelligence, IT in Business