This paper examines the possibilities of improving the performance of the concept-based information retrieval model on web documents. In order to address this performance issue, an experiment was conducted by applying the concept exploration algorithm in collecting a large number of resources from the Internet and accessing them using keyword retrieval techniques in a large knowledge network. The result of this experiment revealed that the concept-based retrieval technique showed much better performance than other retrieval techniques on randomly selected web documents.
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References
1.
[1] Young-Hee Noh, An Experimental Study on the Performance of the Concept-Based Information Retrieval Model Using a Domain Knowledge Base. Ph.D. dissertation, Yonsei University (1999).
2.
[2] Young-Hee Noh and Young-Mee Chung , A study on the performance of the concept-based information retrieval model using a domain knowledge base , Korean Society for Information Management17(3) (2001) 45-70 .
3.
[3] H. Chen and V. Dhar , Cognitive process as a basis for intelligent retrieval systems design , Information Processing and Management27(5) (1991) 405-432 .
4.
[4] P. Shoval , Principles, procedures and rules in an expert system for information retrieval , Information Processing and Management21(6) (1985) 475-487 .
5.
[5] P. R. Cohen and R. Kjeldsen , Information retrieval by constrained spreading activation in semantic networks , Information Processing and Management23(4) (1987) 255-268 .
6.
[6] E. Svenonius , Use of classification in online retrieval , Library Resources and Technical Services27(1) (1983) 76-80 .
7.
[7] K. Markey and A. N. Demeyer , Dewey Decimal Classification Online Project: Evaluation of a Library Schedule and Index Integrated into the Subject Searching Capabilities of an Online Catalog ( OCLC Online Computer Library Center Inc., Office of Research, Dublin, OH , 1986)
8.
[8] D. Vizine-Goetz , Using library classification schemes for internet resources . In: Proceedings of the OCLC Internet Cataloging Colloquium (February 1996). Available at: www.oclc.org/oclc/man/colloq/vg.htm
9.
[9] G. McKiernan , Beyond Bookmarks: Schemes for Organizing the Web (February 1999). Available at: www.public.iastate.edu/%7ECYBERSTACKS/CTW.htm
10.
[10] The Korea Economic Daily, Thesaurus of Economic Newspapers ( The Korea Economic Daily, Seoul , 1993).
11.
[11] G. Salton , E.A. Fox and H. Wu , Extended Boolean information retrieval , Communications of ACM26(12) (1983) 1022-1036 .
12.
[12] Young-Mee Chung , The Theory of Information Retrieval ( Kumitrans, Seoul , 1993).
