Abstract
Common sense knowledge based systems are developed by researchers to enable machines to understand ordinary knowledge and reason intelligently as a human would. The knowledge repositories of such systems are usually developed manually by a knowledge engineer or by users. Building a knowledge base of common sense knowledge such as that possessed by an average human being would be a very time-consuming, if not impossible, task. Some aspects of real world knowledge have already been captured and organized into various repositories such as the World Wide Web, WordNet, and the DAML ontology library. However, the extraction and integration of common sense knowledge from those sources remains a challenge. To address this challenge, an architecture for a Common Sense Knowledge Extractor is proposed that serves as an intermediary tool to extract common sense knowledge from several knowledge sources in order to develop a common sense repository. The design of the system as an extension of prior research on intelligent query processing is presented.
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References
Alavi, M., Leidner, D.E.: Review: Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues. MIS Quarterly 25, 107–136 (2001)
Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American, 1–19 (May 2001)
Calvanese, D., Giacomo, G., Lenzerini, M., Daniele, N., Rosati, R.: Information Integration: Conceptual modeling and reasoning support. In: Conference on Cooperative Information Systems (1998)
Embley, D.: Toward Semantic Understanding An Approach Based on Information Extraction Ontologies. In: Proceedings of the Fourteenth Australian Database Conference, Dunedin, New Zealand, January 18-22, pp. 3–12 (2004)
Fellbaum, C.: WordNet: An Electronic Lexical Database. MIT Press, Cambridge (1998)
Gruber, T.R.: A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition (5), 199–220 (1993)
Lenat, D.: A Large-Scale Investment in Knowledge Infrastructure. Communication of the ACM 38, 32–38 (1995)
Levy, A.: Logic-based techniques in data integration. In: Presented at Workshop on Logic- Based Artificial Intelligence, Washington, DC (1999)
Liu, H., Singh, P.: ConceptNet - a practical common sense reasoning tool-kit. BT Technology Journal 22 (2004)
McCarthy, J., Minsky, M., Sloman, A.: An architecture of diversity for common sense reasoning. IBM Systems Journal 41 (2002)
McCarthy, J.: Program with Common Sense. Presented at Proceedings of the Symposium on Mechanizations of Thought Process, London (1958)
Minsky, M.: The Emotion Machine. Pantheon, New York (forthcoming)
OpenMind, http://commonsense.media.mit.edu/cgi-bin/search.cgi
Sowa, J.F.: The Challenge of Knowledge Soup. Vivo Mind Intelligence, Inc (2004)
Storey, V.C., Burton-Jones, A., Sugumaran, V., Purao, S.: Making the Web More Semantic: A Methodology for Context-Aware Query Processing (2004) (Working Paper)
Sugumaran, V., Storey, V.C.: Ontologies for Conceptual Modeling: Their Creation, Use and Management. Data and Knowledge Engineering 42(3), 251–271 (2002)
ThoughtTreasure, http://www.signiform.com/tt/htm/tt.htm
Weber, R.: Ontological Issues in Accounting Information Systems. In: Sutton, S., Arnold, V. (eds.) Researching Accounting as an Information Systems Discipline, American Accounting Association, Sarasota, FL (2002)
WordNet, http://www.cogsci.princeton.edu/~wn/
Miller, G.A., Beckwith, R., Fellbaum, C., Gross, D., Miller, K.J.: Introduction to WordNet: An On-line Lexical Database. International Journal of Lexicography (3:4), 235–244 (1990)
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Storey, V.C., Sugumaran, V., Ding, Y. (2005). A Semi-automatic Approach to Extracting Common Sense Knowledge from Knowledge Sources. In: Montoyo, A., Muńoz, R., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2005. Lecture Notes in Computer Science, vol 3513. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11428817_29
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DOI: https://doi.org/10.1007/11428817_29
Publisher Name: Springer, Berlin, Heidelberg
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