Abstract
This paper presents three aspects of information retrieval from large knowledge bases: the abstraction mechanisms, the modes, and the interface model. To reduce retrieval complexity, we investigate the view and viewpoint abstraction mechanisms. We consider and discuss querying and exploring as two major modes of knowledge base retrieval.
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Acker, L.E.: Access Methods for Large, Multifunctional Knowledge Bases. Ph.D. Thesis, Department of Computer Sciences, University of Texas at Austin (1992).
Jenkins, M.A.: Nial Language Manual. Nial Systems Ltd. Kingston Ontario (1984)
Martin, P.T., Hung, H.K., Walmsley, C.: Supporting Browsing of Large Knowledge Bases. Proceedings of the 3rd International Conference on Database and Expert Systems Applications 92 (1992) 402–408
Patel-Schneider, P.F., Brachman, R.J., Levesque, H.J.: ARGON: Knowledge Representation meets Information Retrieval. Proceedings AAAI'84 (1984) 280–286
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© 1993 Springer-Verlag Berlin Heidelberg
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Hung, HK., Martin, P., Glasgow, J., Walmsley, C., Jenkins, M. (1993). Querying and exploring large knowledge bases. In: MaÅ™Ãk, V., Lažanský, J., Wagner, R.R. (eds) Database and Expert Systems Applications. DEXA 1993. Lecture Notes in Computer Science, vol 720. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57234-1_47
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DOI: https://doi.org/10.1007/3-540-57234-1_47
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Print ISBN: 978-3-540-57234-3
Online ISBN: 978-3-540-47982-6
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