Data management for knowledge-based systems
dc.contributor.committeeMember | Eick, Christoph F. | |
dc.contributor.committeeMember | Elmasri, Ramez A. | |
dc.contributor.committeeMember | Scamell, Richard W. | |
dc.creator | Law, Kam Man | |
dc.date.accessioned | 2024-04-22T20:17:30Z | |
dc.date.available | 2024-04-22T20:17:30Z | |
dc.date.issued | 1987 | |
dc.description.abstract | In recent years, expert systems have gained a large popularity in Computer Science as a result of the improvement made in Artificial Intelligence research and the announcement of the fifth generation computers. However, the design and implementation of large computerized knowledge bases have raised new data management problems. This thesis explores the new problems facing conventional Data Base Management Systems (DBMSs). It surveys the knowledge representation in Databases, Artificial Intelligence, and Programming Languages in order to search representation schemes for DALI, a Knowledge Base Management System. The concepts of DALI are discussed and the data model S-diagram used for knowledge base design is described. Furthermore, the features of DALI are compared with those of DBMSs; the advantages and disadvantages of DALI are examined. In its first version, the framework of DALI contains a schema compiler, a pattern matcher, and a storage structure program. The design and implementation of these essential components are described in detail. | |
dc.description.department | Computer Science, Department of | |
dc.format.digitalOrigin | reformatted digital | |
dc.format.mimetype | application/pdf | |
dc.identifier.other | 17734510 | |
dc.identifier.uri | https://hdl.handle.net/10657/17022 | |
dc.language.iso | en | |
dc.rights | This item is protected by copyright but is made available here under a claim of fair use (17 U.S.C. Section 107) for non-profit research and educational purposes. Users of this work assume the responsibility for determining copyright status prior to reusing, publishing, or reproducing this item for purposes other than what is allowed by fair use or other copyright exemptions. Any reuse of this item in excess of fair use or other copyright exemptions requires express permission of the copyright holder. | |
dc.subject | Expert systems (Computer science) | |
dc.subject | Database management | |
dc.title | Data management for knowledge-based systems | |
dc.type.dcmi | Text | |
dc.type.genre | Thesis | |
thesis.degree.college | College of Natural Sciences and Mathematics | |
thesis.degree.department | Computer Science, Department of | |
thesis.degree.discipline | Computer Science | |
thesis.degree.grantor | University of Houston | |
thesis.degree.level | Masters | |
thesis.degree.name | Master of Science |
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