SETS: Search Enhanced by Topic Segmentation

SIGIR Forum (ACM Special Interest Group on Information Retrieval)

Volumn , Issue SPEC. ISS., 2003, Pages 306-313

  Bawa, Mayank ^a   Manku, Gurmeet Singh ^a   Raghavan, Prabhakar ^b  

^a STANFORD UNIVERSITY   (United States)

^b Verity Inc   (United States)

Author keywords

Distributed information retrieval; Peer to Peer (P2P); Small world networks; Topic segments; Topic driven query routing

Indexed keywords

PEER-TO-PEER (P2P) NETWORKS; SMALL WORLD NETWORKS; TOPIC SEGMENTS;

ALGORITHMS; LEARNING SYSTEMS; NETWORK PROTOCOLS; SERVERS; TOPOLOGY; WIDE AREA NETWORKS;

INFORMATION RETRIEVAL;

EID: 1542287482     PISSN: 01635840     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

References (38)

1. D. Barbara and C. Clifton. Information brokers: Sharing knowledge in a heterogeneous distributed system. In Proc. 4th Conf. on Database and Expert Systems Applications (DEXA), pages 80-91, 1993.
2. C. M. Bowman, P. B. Danzig, D. Hardy, U. Manber, M. F. Schwartz, and D. P. Wessels. Harvest: A scalable, customizable discovery and access system. Computer Networks and ISDN Systems, 28(1-2):119-125, 1995.
3. B. Cahoon and K. S. McKinley. Performance evaluation of a distributed architecture for information retrieval. In Proc. 19th ACM Conf. on Inform. Retrieval (SIGIR), pages 110-118, 1996.
4. J. Callan. Distributed information retrieval. Advances in Information Retrieval, pages 127-150, 2000.
5. J. Callan, Z. Lu, and W. B. Croft. Searching distributed collections with inference networks. In Proc. 18th ACM Conf. on Inform. Retrieval (SIGIR), pages 21-28, 1995.
6. Citeseer: Scientific literature digital library (http://citeseer.nj.nec.com/cs).
7. E. Cohen, H. Kaplan, and A. Fiat. Associative search in peer-to-peer networks: Harnessing latent semantics. In Proc. IEEE Infocom, 2003.
8. J. G. Conrad, X. S. Quo, P. Jackson, and M. Meziou. Database selection using actual physical and acquired logical collection resources in a massive domain-specific operational environment. In Proc. 28th Conf. on Very Large Data Bases (VLDB), pages 71-82, 2002.
9. A. Crespo and H. Garcia-Molina. Routing indices for peer-to-peer networks. In Proc. Intl. Conf. on Distributed Computing Systems (ICDCS), pages 23-34, 2002.
10. P. B. Danzig, J. S. Ahn, J. Noll, and K. Obraczka. Distributed indexing: A technique for scalable, distributed information retrieval systems. In Proc. 14th ACM Conf. on Information Retrieval (SIGIR), pages 220-229, 1991.
11. S. Feld. Social structural determinants of similarity among associates. In American Sociological Review (47): 1982.
12. J. French, A. Powell, J. Callan, C. Viles, T. Emmitt, K. Prey, and Y. Mou. Comparing the performance of database selection algorithms. In Proc. 22nd ACM Conf. on Information Retrieval (SIGIR), pages 238-245, 1999.
13. S. Gauch and J. Wang. A corpus analysis approach for automatic query expansion. In Proc. 6th Conf. on Information and Knowledge Management (CIKM), pages 278-284, 1997.
14. M. S. Granovetter. The strength of weak ties: A network theory revisited. In Sociological Theory (1), 1983.
15. L. Gravano, H. Garcia-Molina, and A. Tomasic. Gloss: Text-source discovery over the internet. ACM Transactions of Database Systems, 24(2):229-264, 1999.
16. J. Kleinberg. The small-world phenomenon: An algorithmic perspective. In Proc. 32nd ACM Symposium on Theory of Computing (STOC), pages 163-170, 2000.
17. G. S. Manku. Routing networks for distributed hash tables. In Proc. 22nd ACM PODC, 2003.
18. G. S. Manku, M. Bawa, and P. Raghavan. Symphony: Distributed hashing in a small world. In Proc. 4th USENIX Symposium on Internet Technologies and Systems (USITS), pages 127-140, 2003.
19. S. Milgram. The small world problem. In Psychology Today 1(67), 1967.
20. S. Milliner, M. Papazoglou, and H. Weigand. Linguistic tool based information elicitation in large heterogeneous database networks. In Proc. Workshop on Natural Language and Databases (NLDB), 1996.
21. R. Motwani and P. Raghavan. Randomized Algorithms, Cambridge University Press, June, 1995.
22. C. H. Ng and K. C. Sia. Peer clustering and firework query model. In Poster in 11th Conf. on World Wide Web (WWW), 2002.
23. J. J. Ordille and B. P. Miller. Distributed active catalogs and meta-data caching in descriptive name services. In Proc. Conf. on Distributed Computing Systems (ICDCS), pages 120-129, 1993.
24. M. P. Papazoglou, H. A. Proper, and J. Yang. Landscaping the information space of large multi-database networks. Data Knowledge Engineering, 36(3):251-281, 2001.
25. S. Ratnasamy, P. Francis, M. Handley, and R. M. Karp. A Scalable Content-Addressable Network (CAN). In Proc. ACM SIGCOMM, pages 161-172, 2001.
26. H. Schutze and C. Silverstein. Projections for efficient document clustering. In Proc. 20th ACM Conf. on Information Retrieval (SIGIR), pages 74-81, 1997.
27. th Intl. Conf. on Extending Database Technology (EDBT), pages 109-122, 1994.
28. L. Si, R. Jin, J. Callan, and P. Ogilvie. A language modeling framework for resource selection and results merging. In Proc. 11th ACM Conf. on Information and Knowledge Management (CIKM), pages 391-397, 2002.
29. P. Simpson. Query processing in a heterogeneous retrieval network. In Proc. 11th ACM Conf. on Information Retrieval (SIGIR), pages 359-370, 1988.
30. I. Stoica, R. Morris, D. Karger, M. Frans Kaashoek, and H. Balakrishnan. Chord: A scalable peer-to-peer lookup service for internet applications. In Proc. ACM SIGCOMM, pages 149-160, 2001.
31. C. Tang, Z. Xu, and M. Mahalingam. Peersearch: Efficient information retrieval in peer-to-peer networks. In HotNets-I, 2002.
32. C. J. van Rijsbergen. Information Retrieval. Butterworths, 1979.
33. C. L. Viles and J. C. French. Dissemination of collection wide information in a distributed information retrieval system. In Proc. 18th ACM Conf. on Information Retrieval (SIGIR), pages 12-20, 1995.
34. E. Voorhees, N. Gupta, and B. Johnson-Laird. Learning collection fusion strategies. In Proc. 18th ACM Conf. on Information Retrieval (SIGIR), pages 172-179, 1995.
35. R. Weiss, B. Velez, M. A. Sheldon, C. Nemprempre, P. Szilagyi, A. Duda, and D. K. Gifford. Hypursuit: A hierarchical network search engine that exploits content-link hypertext clustering. In Proc. 7th ACM Conf. on Hypertext, pages 180-193, 1996.
36. J. Xu and J. Callan. Effective retrieval of distributed collections. In Proc. 21st ACM Conf. on Information Retrieval (SIGIR), pages 112-120, 1998.
37. J. Xu and W. B. Croft. Cluster-based language models for distributed retrieval. In Proc. 22nd ACM Conf. on Information Retrieval (SIGIR), pages 254-261, 1999.
38. B. Yang and H. Garcia-Molina. Improving search in peer-to-peer networks. In Proc. 22nd Intl. Conf. on Distributed Computing Systems (ICDCS), 2002.