Improving the search process through ontology-based adaptive semantic search

Electronic Library

Volumn 25, Issue 2, 2007, Pages 234-248

  Yang, Chyan ^a   Yang, Keng Chieh ^a   Yuan, Hsu Chieh ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

Information retrieval; Information searches; Search engines; Semantics

Indexed keywords

ONTOLOGY; QUERY PROCESSING; SEARCH ENGINES; SEMANTICS;

INFORMATION SEARCH; SEMANTIC SEARCH;

INFORMATION RETRIEVAL;

EID: 34247129540     PISSN: 02640473     EISSN: None     Source Type: Journal    
DOI: 10.1108/02640470710741359     Document Type: Article

References (17)

1. Bogatin, D. (2006), "Yahoo: Searches more sophisticated and specific", ZDNet, available at: http://blogs.zdnet.com/ micro-markets/index.php?p=27.
2. Brin, S. and Page, L. (1998), "The anatomy of a large-scale hypertextual web search engine", Computer Networks and ISDN Systems, Vol. 33, pp. 107-17.
3. Enquiro Search Solutions Inc. (2005), "Did-it, Enquiro, and Eyetools uncover Search's Golden Triangle", available at: www.enquiro.com/eye-tracking-pr.asp.
4. Harman, D. (1988), "Towards interactive query expansion", Proceedings of the 11th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 321-31.
5. Hicks, M. (2004), "Google sets slights on clustering, translation", eWeek, available at: www.eweek.com/article2/ 0,1759,1668357,00.asp.
6. Jarvelin, K., Kristensen, J., Niemi, T., Sormunen, E. and Keskustalo, H. (1996), "A deductive data model for query expansion", Proceedings of the 19th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval, pp. 235-49.
7. Jing, Y. and Croft, W.B. (1994), "An association thesaurus for information retrieval", Proceedings of RIAO, pp. 146-60.
8. Jones, S., Gatford, M., Robertson, S., Hancock-Beaulieu, M. and Seeker, J. (1995), "Interactive thesaurus navigation: Intelligence rules OK?", Journal of the American Society for Information Science, Vol. 46 No. 1, pp. 52-9.
9. Kristensen, J. (1993), "Expanding end-users' query statements for free text searching with a search-aid thesaurus", Information Processing & Management, Vol. 29 No. 6, pp. 733-44.
10. Lu, X.A. and Keefer, R.B. (1995), "Query expansion/reduction and its impact on retrieval effectiveness", The Third Text Retrieval Conference (TREC-3), pp. 231-9.
11. Pu, H.T. and Yang, C. (2003), "Enriching user-oriented class associations for library classification schemes", The Electronic Library, Vol. 21 No. 2, pp. 130-41.
12. Rocchio, J. (1971), "Relevance feedback in information retrieval", in Salton, G. (Ed.), The SMART Retrieval System: Experiments in Automatic Document Processing, Prentice-Hall, Upper Saddle River, NJ.
13. Salton, G. and Buckley, C. (1990), "Improving retrieval performance by relevance feedback", Journal of the American Society for Information Science, Vol. 41, pp. 288-97.
14. Search Engine Inc. (2003), "Search engine partnerships", available at: www.searchengines.com/partnerships.html.
15. Search Engine Lowdown (2004), "Web 2.0 - exclusive demonstration of clustering from Google", available at: www.searchenginelowdown.com/ 2004/10/web-20-exclusive-demonstration-of.html.
16. Voorhees, E. (1994), "Query expansion using lexical-semantic relations", Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 61-9.
17. Yang, C., Chen, L.C. and Peng, C.Y. (2006), "Developing and evaluating an IT specification extraction system", The Electronic Library, Vol. 24 No. 6, pp. 832-46.