Integral based source selection for uncooperative distributed information retrieval environments

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2008, Pages 67-74

  Paltoglou, Georgios ^a   Salampasis, Michail ^b   Satratzemi, Maria ^a  

^a UNIVERSITY OF MACEDONIA   (Greece)

^b Alexander Technological   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

DISTRIBUTED INFORMATION RETRIEVAL; HIGH PRECISION; INFORMATION SOURCES; NEW APPROACHES; NEW SOURCES; RECALL AND PRECISION; RELEVANCE SCORE; RETRIEVED DOCUMENTS; SOURCE SELECTION; STATE-OF-THE-ART ALGORITHMS;

INFORMATION RETRIEVAL; INFORMATION SERVICES; KNOWLEDGE MANAGEMENT;

ALGORITHMS;

EID: 70349240806     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1458469.1458475     Document Type: Conference Paper

References (32)

1. J. A. Aslam and M. Montague. Models for metasearch. In SIGIR '01, pages 276-284, New York, NY, USA, 2001. ACM.
2. P. Bailey, N. Craswell, and D. Hawking. Engineering a multi-purpose test collection for web retrieval experiments. Inf. Process. Manage., 39(6):853-871.
3. M. Bergman. The deep web: Surfacing hidden value.
4. A. Broder. A taxonomy of web search. SIGIR Forum, 36(2):3-10, 2002.
5. J. Callan. Advances in information retrieval, chapter 5, pages 127-150. Kluwer Academic Publishers, 2000.
6. J. Callan and M. Connell. Query-based sampling of text databases. ACM Trans. Inf. Syst., 19(2):97-130.
7. J. Callan, W. Croft, and S. Harding. Inquery retrieval system. In DEXA-92, pages 78-83, 1992.
8. J. P. Callan, Z. Lu, and W. B. Croft. Searching distributed collections with inference networks. In SIGIR '95, pages 21-28, New York, NY, USA, 1995.
9. N. Craswell. Methods for Distributed Information Retrieval. PhD thesis, ANU, 2000.
10. N. Fuhr. A decision-theoretic approach to database selection in networked ir. ACM Trans. Inf. Syst., 17(3):229-249, 1999.
11. L. Gravano, K. Chang, H. Garcia-Molina, and A. Paepcke. Starts. Stanford University, 1997.
12. L. Gravano, H. Garcia-Molina, and A. Tomasic. Gloss: Text-source discovery over the internet. ACM Trans. Database Syst., 24(2):229-264, 1999.
13. D. Hawking and P. Thomas. Server selection methods in hybrid portal search. In SIGIR '05, pages 75-82, New York, NY, USA, 2005. ACM.
14. B. Jansen, A. Spink, and T. Saracevic. Real life, real users, and real needs: a study and analysis of user queries on the web. IPM, 36(2):207-227, 2000.
15. A. Lew and H. Mauch. Dynamic Programming: A Computational Tool. Springer-Verlag New York, Inc., Secaucus, NJ, USA, 2006.
16. P. Lyman and H. R. Varian. How much information? 2003. 2003.
17. C. Macdonald and I. Ounis. Voting for candidates: adapting data fusion techniques for an expert search task. In CIKM '06, pages 387-396, New York, NY, USA, 2006. ACM.
18. H. Nottelmann and N. Fuhr. Evaluating different methods of estimating retrieval quality for resource selection. In SIGIR '03, pages 290-297, New York, NY, USA, 2003. ACM.
19. P. Ogilvie and J. Callan. Combining document representations for known-item search. In SIGIR '03, pages 143-150, New York, NY, USA, 2003. ACM.
20. P. Ogilvie and J. P. Callan. Experiments using the lemur toolkit. In TREC, 2001.
21. G. Paltoglou, M. Salampasis, and M. Satratzemi. Hybrid results merging. In CIKM '07, pages 321-330, New York, NY, USA, 2007. ACM.
22. A. L. Powell and J. C. French. Comparing the performance of collection selection algorithms. ACM Trans. Inf. Syst., 21(4):412-456, 2003.
23. S. Robertson, S. Walker, H.-B. M., and G. M. Okapi at trec-3. In TREC-3, 1994.
24. C. Sherman. Search for the invisible web. Guardian Unlimited, 2001.
25. M. Shokouhi. Central-rank-based collection selection in uncooperative distributed information retrieval. In ECIR, pages 160-172, 2007.
26. M. Shokouhi, J. Zobel, F. Scholer, and S. M. M. Tahaghoghi. Capturing collection size for distributed non-cooperative retrieval. In SIGIR '06, pages 316-323, New York, NY, USA, 2006. ACM.
27. L. Si and J. Callan. Relevant document distribution estimation method for resource selection. In SIGIR '03, pages 298-305, New York, NY, USA, 2003. ACM.
28. L. Si and J. Callan. A semisupervised learning method to merge search engine results. ACM Trans. Inf. Syst., 21(4):457-491, 2003.
29. L. Si and J. Callan. Unified utility maximization framework for resource selection. In CIKM '04, pages 32-41, New York, NY, USA, 2004. ACM.
30. L. Si and J. Callan. Modeling search engine effectiveness for federated search. In SIGIR '05, pages 83-90, New York, NY, USA, 2005. ACM.
31. P. Thomas and D. Hawking. Evaluating sampling methods for uncooperative collections. In SIGIR '07, pages 503-510, New York, NY, USA, 2007. ACM.
32. B. Yuwono and D. L. Lee. Server ranking for distributed text retrieval systems on the internet. In DASFAA '97, pages 41-50. World Scient. Pr., 1997.