The potential of the metasearch engine

Proceedings of the ASIST Annual Meeting

Volumn 41, Issue , 2004, Pages 393-402

  Davison, Brian D ^a  

^a Lehigh University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 34247340103     PISSN: 15508390     EISSN: None     Source Type: Journal    
DOI: 10.1002/meet.1450410146     Document Type: Conference Paper

References (47)

1. th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 88-95, Toronto, Canada.
2. Baeza-Yates, R. & Ribeiro-Neto, B. (1999). Modern Information Retrieval. Addison Wesley/ACM Press, New York.
3. Barabasi, A.-L. (2002). Linked: The New Science of Networks. Perseus Publishing.
4. th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 407-415.
5. Benitez, A. B., Beigi, M., & Chang, S.-F. (1998). Using relevance feedback in content-based image metasearch. IEEE Internet Computing, 2(4):58-69.
6. th International World Wide Web Conference, Brisbane, Australia.
7. Callan, J., Connell, M., & Du, A. (1999). Automatic discovery of language models for text databases. In Proceedings of the ACM SIGMOD Conference, pages 479-490.
8. Chakrabarti, S. (2003). Mining the Web: Discovering Knowledge from Hypertext Data. Morgan Kaufmann, San Francisco, CA.
9. Cohen, W. W., Schapire, R. E., & Singer, Y. (1999). Learning to order things. Journal of Artificial Intelligence Research, 10:243-270.
10. th ACM Conference on Digital Libraries, pages 37-46.
11. th International World Wide Web Conference, Budapest, Hungary.
12. th International World Wide Web Conference, pages 389-401, Toronto, Canada
13. Dreilinger, D. & Howe, A. E. (1997). Experiences with selected search engines using metasearch. ACM Transactions on Information Systems, 15(3):195-222.
14. Dreilinger, D. E. (1996). Description and evaluation of a meta-search agent. Master's thesis, Colorado State University.
15. th International World Wide Web Conference, pages 613-622, Hong Kong.
16. th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 306-313, Philadelphia, PA.
17. th ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD-2000), pages 150-160, Boston.
18. Gauch, S., Wang, G., & Gomez, M. (1996). ProFusion: Intelligent fusion from multiple, distributed search engines. Journal of Universal Computing, 2(9).
19. Gibson, D., Kleinberg, J. M., & Raghavan, P. (1998). Inferring Web communities from link topology. In Proceedings of the 9th ACM Conference on Hypertext and Hypermedia (Hypertext'98), pages 225-234.
20. Glance, N. S. (2000). Community search assistant. In Artificial Intelligence for Web Search, pages 29-34. AAAI Press. Presented at the AAAI-2000 workshop on Artificial Intelligence for Web Search, Technical Report WS-00-01.
21. Gravano, L., Chang, C.-C. K., Garcia-Molina, H., & Paepcke, A. (1997). STARTS: Stanford proposal for Internet meta-searching. In Proceedings of the ACM SIGMOD International Conference on Management of Data, pages 207-218.
22. th International World Wide Web Conference, Honolulu.
23. Howe, A. & Dreilinger, D. (1997). SavvySearch: A metasearch engine that learns which search engines to query. AI Magazine, 18(2).
24. Jansen, B. J., Spink, A., & Saracevic, T. (2000). Real life, real users, and real needs: A study and analysis of user queries on the web. Information Processing and Management, 36(2):207-227.
25. th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Edmonton, Alberta, Canada. ACM.
26. th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Edmonton, Alberta, Canada. ACM.
27. Kleinberg, J. M. (1999). Authoritative sources in a hyperlinked environment. Journal of the ACM, 46(5):604-632.
28. th International World Wide Web Conference, Toronto, Canada.
29. th International World Wide Web Conference, Brisbane, Australia.
30. Lawrence, S. & Giles, C. L. (1998b). Searching the World Wide Web. Science, 280(5360):98-100.
31. Lawrence, S. & Giles, C. L. (1999a). Accessibility of information on the Web. Nature, 400:107-109.
32. Lawrence, S. & Giles, C. L. (1999b). Searching the Web: General and scientific information access. IEEE Communications, 37(1):116-122.
33. st International World Wide Web Conference, Geneva, Switzerland.
34. Meng, W., Liu, K. L., Yu, C., Wu, W., & Rishe, L. (1999). Estimating the usefulness of search engines. In Proceedings of Int'l Conference on Data Engineering (ICDE), pages 146-153.
35. Montague, M. (2002). Metasearch: Data Fusion for Document Retrieval. PhD thesis, Dartmouth College.
36. Ng, K.-B. & Kantor, P. (2000). Predicting the effectiveness of naive data fusion on the basis of system characteristics. Journal of American Society for Information Science, 51(13):1177-1189.
37. th International World Wide Web Conference, Honolulu.
38. nd Int'l World Wide Web Conference: Mosaic and the Web, Chicago, IL.
39. Raghavan, V. V. & Sever, H. (1995). On the reuse of past optimal queries. In Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval, pages 344-350, Seattle, WA.
40. Rasolofo, Y., Abbaci, F., & Savoy, J. (2001). Approaches to collection selection and results merging for distributed information retrieval. In ACM Conference on Information and Knowledge Engineering (CIKM).
41. Reddy, P. K. & Kitsuregawa, M. (2001). Inferring web communities through relaxed cocitation and dense bipartite graphs. In Proceedings of the Data Base Engineering Workshop (DEWS 2001).
42. th International World Wide Web Conference, Boston, MA.
43. Selberg, E. & Etzioni, O. (1997). The MetaCrawler architecture for resource aggregation on the Web. IEEE Expert, 12(1):8-14.
44. th International World Wide Web Conference, Hong Kong.
45. Zaiane, O. R. & Strilets, A. (2002). Finding similar queries to satisfy searches based on query traces. In Proceedings of the International Workshop on Efficient Web-Based Information Systems (EWIS), pages 207-216, Montpellier, France. Lecture Notes in Computer Science 2426, Advances in Object-Oriented Information Systems, Springer-Verlag.
46. Zamir, O. & Etzioni, O. (1998). Web document clustering: A feasibility demonstration. In Proceedings of the ACM/SIGIR Conference on Research and Development in Information Retrieval.
47. th International World Wide Web Conference, Toronto, Canada.