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About this book
Current experimental systems in industry, government, and the military take advantage of knowledge-based processing. For example, the Defense Advanced Research Projects Agency (DARPA), and the United States Geological Survey (USGS) are supporting the develop ment of information systems that contain diverse, vast, and growing repositories of data (e.g., vast databases storing geographic informa tion). These systems require powerful reasoning capabilities and pro cessing such as data processing, communications, and multidisciplinary of such systems will scientific analysis. The number and importance grow significantly in the near future. Many of these systems are severely limited by current knowledge base and database systems technology. Currently, knowledge-based system technology lacks the means to provide efficient and robust knowledge bases, while database system technology lacks knowledge representation and reasoning capabilities. The time has come to face the complex research problems that must be solved before we can design and implement real, large scale software systems that depend on knowledge-based processing. To date there has been little research directed at integrating knowledge base and database technologies. It is now imperative that such coordinated research be initiated and that it respond to the urgent need for a tech nology that will enable operational large-scale knowledge-based system applications.
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Table of contents (47 chapters)
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Front Matter
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Knowledge Base Management Systems
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Front Matter
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Knowledge Bases versus Databases
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Front Matter
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Editors and Affiliations
Bibliographic Information
Book Title: On Knowledge Base Management Systems
Book Subtitle: Integrating Artificial Intelligence and Database Technologies
Editors: Micheal L. Brodie, John Mylopoulos
Series Title: Topics in Information Systems
DOI: https://doi.org/10.1007/978-1-4612-4980-1
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag New York Inc. 1986
Softcover ISBN: 978-1-4612-9383-5Published: 05 October 2011
eBook ISBN: 978-1-4612-4980-1Published: 06 December 2012
Series ISSN: 1431-9365
Edition Number: 1
Number of Pages: XXI, 660
Topics: Artificial Intelligence, Models and Principles, Information Systems Applications (incl. Internet)