Evolving knowledge bases : specification and semantics /
An Evolving Knowledge Base (EKB) is capable of self evolution by means of its internally specified behaviour. In this thesis the author incrementally specifies, semantically characterizes and illustrates with examples, the concepts and tools necessary to the development of EKBs.
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| Main Author: | |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Amsterdam ; Washington, DC : Tokyo :
IOS Press ; Ohmsha,
©2003.
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| Series: | Frontiers in artificial intelligence and applications ;
v. 81. Frontiers in artificial intelligence and applications. Dissertations in artificial intelligence. |
| Subjects: | |
| Online Access: | Full text (Emerson users only) Full text (Emmanuel users only) Full text (NECO users only) Full text (MCPHS users only) Full text (Wentworth users only) |
| Summary: | An Evolving Knowledge Base (EKB) is capable of self evolution by means of its internally specified behaviour. In this thesis the author incrementally specifies, semantically characterizes and illustrates with examples, the concepts and tools necessary to the development of EKBs. |
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| Physical Description: | 1 online resource (xviii, 307 pages) : illustrations |
| Format: | Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. |
| Bibliography: | Includes bibliographical references (pages 283-301). |
| ISBN: | 1601294255 9781601294258 9781586032784 158603278X 9784274905711 4274905713 1417511451 9781417511457 |
| ISSN: | 0922-6389 ; |