Abstract
By “knowledge retrieval”, we refer to the automatic retrieval of statements permitting a tool to make logical inferences and answer queries precisely and correctly, as opposed to retrieving documents or statements “related to” the queries. The Web currently contains very little knowledge, i.e., very few (formal) knowledge representations. Moreover, this knowledge has been encoded using various languages and unconnected or loosely connected ontologies, and following different representation conventions. Hence, currently, not only are knowledge sources rare but each requires the development of a special wrapper for their knowledge to be interpreted and hence retrieved, combined, or exploited. This chapter reviews various projects concerning knowledge representation, sharing, and retrieval on the Web, then details requirements for a “Semantic Web” and illustrates them with notations, conventions, and cooperation rules from our own tool, WebKB-2. Knowledge-retrieval mechanisms and interfaces used in WebKB-2 are also presented.
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References
M. Chein, M.L. Mugnier: Positive Nested Conceptual Graphs. Proc. 5th Int’l Conf. on Conceptual Structures (ICCS 97) (Springer Verlag, LNAI 1257, 1997 ) pp. 95 - 109. http://www.w3.org/2001/sw/
J.M. Crawford, B.J. Kuipers: Algernon–a tractable system for knowledge representation. SIGART Bulletin, 2 (3), 35–44 (1991)
D. Fensel, S. Decker, M. Erdmann, M. Studer: Ontobroker: Or How to Enable Intelligent Access to the WWW. Proc. 11th Knowledge Acquisition Workshop (KAW’98) ( Banff, Canada, 1998 ) pp. 8–23
N. Guarino, C. Masolo, G. Vetere: Ontoseek: Content-based Access to the Web IEEE Intelligent Systems, 14 (3) 70–80 (1999)
J. Hendler: Agent and the Semantic Web IEEE Intelligent Systems, 16 (2), 30–37 (2001)
K. Knight, S. Luk: Building a Large-Scale Knowledge Base for Machine Translation. Proc. 12th national conference on artificial intelligence (AAAI’94) (Seattle, USA, 1994 )
P. Martin: Using the WordNet Concept Catalog and a Relation Hierarchy for Knowledge Acquisition. Proc. 4th International Workshop on Peirce (Peirce’95) ( Santa Cruz, California, 1995 )
E Martin, P. Eklund: Embedding Knowledge in Web Documents. Proc. of the 8th Int’l World Wide Web Conference (WWW8) ( Toronto, Canada, 1999 ) http://www.webkb.org/doc/papers/www8/www8.ps
P. Martin, P. Eklund: Conventions for Knowledge Representation via RDF. Proc. of WebNet 2000 (ACCE press, 2000 ) pp. 378 - 383. http://www.webkb.org/doc/papers/webnet00/
P. Martin, P. Eklund: Large-scale cooperatively-built heterogeneous KBs. Proc. 9th Int’l Conf. on Conceptual Structures (ICCS’01) (Springer, LNAI 2120, 2001) pp. 231244. http://www.webkb.org/doc/papers/iccs01/iccs01.pdf
G.A. Miller, R. Beckwith, C. Fellbaum, D. Gross, K. Miller: Five Papers on WordNet. CSL Report 43, ( Cognitive Science Laboratory, Princetown University, 1990 ). http://www.cogsci.princeton.edu/papers/
J.F. Sowa: Conceptual Structures: Information Processing in Mind and Machine. ( Addison-Wesley, Reading, MA, 1984 )
G. Stumme, A. Maedche: FCA-Merge: A Bottom-Up Approach for Merging Ontologies. Proc. 5th Int’l Joint Conference on Artificial Intelligence (IJCAI’01) (Morgen Kaufmann, Seattle, USA, 2001 ) pp. 1–6
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Martin, P. (2003). Knowledge Representation, Sharing, and Retrieval on the Web. In: Zhong, N., Liu, J., Yao, Y. (eds) Web Intelligence. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05320-1_12
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DOI: https://doi.org/10.1007/978-3-662-05320-1_12
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