Integrating multiple windows and document features for expert finding

Journal of the American Society for Information Science and Technology

Volumn 60, Issue 4, 2009, Pages 694-715

  Zhu, Jianhan ^a   Song, Dawei ^b   Rüger, Stefan ^c  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b ROBERT GORDON UNIVERSITY   (United Kingdom)

^c OPEN UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DOCUMENT AUTHORITIES; EXPERT FINDINGS; IMPROVE-A; INTERNAL STRUCTURES; IR MODELS; MULTIPLE LEVELS; MULTIPLE WINDOWS; QUERY EXPANSION TECHNIQUES; QUERY EXPANSIONS; STATISTICAL SIGNIFICANCES; SYSTEMATIC EVALUATIONS; TREC COLLECTIONS; TWO-STAGE MODELS; WINDOW-BASED;

INFORMATION SERVICES;

WINDOWS;

EID: 63849322172     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.21012     Document Type: Article

References (52)

1. Aho, A.V., & Corasick, M.J. (1975). Efficient string matching: An aid to bibliographic search. Communications of the ACM (CACM) 18(6), 333-340.
2. Amati, G., & van Rijsbergen, C.J. (2002). Probabilistic models of information retrieval based on measuring the divergence from randomness. ACM Transactions of Information Systems (TOIS), 20(4), 357-389.
3. Bailey, P., Craswell, N., de Vries, A. P., & Soboroff, I. (2007). Overview of the TREC 2007 Enterprise Track (DRAFT). Retrieved December 29, 2008, from http://elvis.slis.indiana.edu/irpub/TREC/TREC2007-NOTEBOOK/NOTEBOOK. PAPERS/ent-overview.pdf
4. Balog, K., Azzopardi, L., & de Rijke, M. (2006). Formal models for expert finding in enterprise corpora. In E. Efthimiadas, S. Dumais, D. Hawking, & K. Järvelin (Eds.), Proceedings of the 29th ACM International Conference on Research and Development in Information Retrieval (SIG1R 06) (pp. 43-50). New York: ACM Press.
5. Balog, K., Bogers, T., Azzopardi, L., de Rijke, M., & van den Bosch, A. (2007). Broad expertise rettieval in sparse data environments. In C.L.A. Clark, N. Fuhr, N. Kando, W. Kraaij, & A.P. de Vreis (Eds.), Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 07) (pp. 551-558). New York: ACM Press.
6. Balog, K., & de Rijke, M. (2007). Determining expert profiles (with an application to expert finding). In M.M. Veloso (Ed.), Proceedings of the 20di International Joint Conference on Artificial Intelligence (IJCA1 2007) (pp. 2657-2662). Retrieved December 29, 2008, from http://dli.iiit.ac.in/ijcai/IJCAI- 2007/PDF/IJCAI07-427.pdf
7. Brin, S., & Page, L. (1998). The anatomy of a large-scale hypertextual Web search engine. Computer Networks, 30(1-7), 107-117.
8. Burgess, C., Livesay, K., & Lund, K. (1998). Explorations in context space: Words, sentences, discourse. Discourse Processes, 25(2&3), 211-257.
9. Campbell, C.S., Maglio, P.P., Cozzi, A., & Dom, B. (2003). Expertise identification using e-mail communications. In D. Kraft, O. Frieder, J. Hammer, S. Qureshi, & L. Seligman (Eds.), Proceedings of the 12th International Conference on Information and Knowledge Management (CIKM 2003) (pp. 528-531). New York: ACM Press.
10. Cao, Y., Liu, J., Bao, S., & Li, H. (2006). Research on expert search at enterprise track of TREC 2005. In E.M. Vorhees & L.P. Buckland (Eds.), The 14th Text REtrieval Conference Proceedings (TREC 2005) Retrieved December 29, 2008, from http://trec.nist.gov/pubs/trec14/papers/ENTERPRISE.OVERVIEW.pdf
11. Charikar, M., Indyk, P., & Panigrahy, R. (2002). New algorithms for subset query, partial match, orthogonal range searching and related problems. In P. Widmayer, F.T. Ruiz, R. Morales, M. Hennessy, S. Eidenbenz, & R. Conejo (Eds.), Proceedings of the 29th International Colloquium on Automata, Languages and Programming (pp. 451-462). New York: ACM Press.
12. Chen, H., Shen, H., Xiong, J., Tan, S., & Cheng, X. (2007). Social network structure behind the Mailing Lists: ICT-IIIS at TREC 2006 Expert Finding Track. In E.M. Vorhees & L.P. Buckland (Eds.), The 15th Text REtrieval Conference Proceedings (TREC 2006). Retrieved December 29, 2008, from http://trec.nist.gov/pubs/trec15/papers/cas-ict.ent.final.pdf
13. Cheng, T., Yan, X., & Chang, K. C-C (2007, September). Entity Rank: Searching entities directly and holistically. Paper presented at the Very Large Data Bases (VLDB) Conference, Vienna, Austria. Retrieved December 29, 2008, from http://www-forward.cs.uiuc.edu/pubs/2007/entityrankvldb07-cyc-jul07.pdf
14. Chu-Carroll, J., Averboch, G., Duboue, P., Gondek, D., Murdock, J.W., Prager, J., et al. (2007). IBM in TREC 2006 enterprise track. In E.M. Vorhees & L.P. Buckland (Eds.), The 15th Text REtrieval Conference Proceedings (TREC 2006). Retrieved December 29, 2008, from http://elvis.slis.indiana.edu/irpub/ TREC/t15*notebook/notebook.papers/ibm-watson.ent.pdf
15. Ciravegna, F. (2001). Adaptive information extraction from text by rule induction and generalisation. In B. Nebel (Ed.), Proceedings of the 17th International Joint Conference on Artificial Intelligence (1JCAI 2001) (pp. 1251-1256). Retrieved December 29, 2008, from http://www.dcs. shef.ac.uk/~fabio/paperi/UCAI01.pdf
16. Conrad, J.G., & Utt, M.H. (1994). A system for discovering relationships by feature extraction from text databases. In W.B. Croft & C. J. van Rijsbergen (Eds.), Proceedings of the 17di Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 1994) (pp. 260-270). New York: ACM Press.
17. Craswell, N., Robertson, S.E., Zaragoza, H., & Taylor, M.J. (2005). Relevance weighting for query independent evidence. In R. Baeza-Yates, N. Ziviani, G. Marchionini, A. Moffat, & J. Tait (Eds.), Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Rettieval (SIGIR 2005) (pp. 416-423). New York: ACM Press.
18. Craswell, N., de Vries, A.P., & Soboroff, I. (2006). Overview of the TREC-2005 enterprise track. In E.M. Vorhees & L.P. Buckland (Eds.), The 14th Text REtrieval Conference Proceedings (TREC 2005). Retrieved December 29, 2008, from http://trec.nist.gov//pubs/trec14/papers/ENTERPRISE.OVERVIEW.pdf
19. Craven, M., DiPasquo, D., Freitag, D., McCallum, A., Mitchell, T, Nigam, K., et al. (2000). Learning to construct knowledge bases from the World Wide Web. Artificial Intelligence, 118(1-2), 69-113.
20. de Vries, A.P., Thorn, J.A., Vercoustre, A-M, Craswell. N., & Lalmas, M. (2007). INEX 2007 entity ranking track guidelines - VI. In N. Fuhr, J. Kamps, M. Lalmas, A. Trotman (Eds.), Focused Access to XML Documents, 6th International Workshop of the Initiative for the Evaluation of XML Retrieval (INEX 2007) (pp. 245-251). Berlin, Germany: Springer.
21. Etzioni, O., Cafarella, M., Downey, D., Popescu, A., Shaked, T, Soderland, S., et al. (2004). Methods for domain-independent information extraction from the Web: An experimental comparison. In Proceedings of 19th National Conference on Artificial Intelligence (AAAI 2004) (pp. 391-398). Menlo Park, CA: AAAI Press.
22. Fang, H., & Zhai, C. (2007). Probabilistic models for expert finding. In G. Amati, C. Caipineto, & G. Romano (Vol. Eds.), Lecture notes in computer science: Information systems and applications, Volume 4425. Advances in information retrieval (pp. 418-430). Berlin, Germany: Springer.
23. Fu, Y., Yu, W, Li, Y., Liu, Y., Zhang, M., & Ma, S. (2006). THU1R at TREC 2005: Enterprise track. In E.M. Vorhees & L.P. Buckland (Eds.), The 14th Text REtrieval Conference Proceedings (TREC 2005). Retrieved December 29, 2008, from http://trec.nist.gov//pubs/trec14/papers/tsinghuau-ma.ent.pdf
24. Fu, Y., Xiang, R., Zhang, M., Liu, Y., & Ma, S. (2006). A PDD-based searching approach for expert finding in Intranet information management. In H.T. Ng, M.K. Leong, M. Y Kan, & D. Ji (Vol Eds.), Lecture notes in computer science: Information rettieval technology, Volume 4182. Third Asia Information Rettieval Symposium (AIRS 2006) (pp. 43-53). Berlin, Germany, Springer.
25. Hatcher, E., & Gospodnetic, O. (2004). Lucene in Action. Manning Publications Co, ISBN: 1932394281.
26. Hu, G., Liu, J., Cao, Y., Li, H., Nie, J-Y, & Gao, J. (2006). A supervised learning approach to entity search. In H.T. Ng, M.K. Leong, M. Y. Kan, & D. Ji (Vol Eds.), Lecture notes in computer science: Information rettieval technology, Volume 4182. Asia information retrieval symposium (AIRS 2006) (pp. 54-66). Berlin, Germany, Springer.
27. Kang, I.-H., & Kim, G. (2003). Query type classification for Web document retrieval. In C. Clarke, G. Cormack, J. Callan, D. Hawking, & A. Smeaton (Eds.), Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2003) (pp. 64-71). New York: ACM Press.
28. Kleinberg, J. (1998). Authoritative sources in a hyperlinked environment. Paper presented at the 9th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA). Retrieved December 29, 2008, from http://www.cs.cornell.edu/home/ kleinber/auth.pdf
29. Kolla, M., & Vechtomova, O. (2007). In enterprise search: Methods to identify argumentative discussions and to find topical experts. In E.M. Vorhees & L.P. Buckland (Eds.), The 14th Text REtrieval Conference Proceedings (TREC 2005). Retrieved December 29, 2008, from http://trec.nist.gov/pubs/trec15/ papers/uwaterloo-kolla.ent.final.pdf
30. Macdonald, C., & Ounis, I. (2006). Voting for candidates: Adapting data fusion techniques for an expert search task. In P.S. Yu, V. Tsotras, E. Fox, & B. Liu, Proceedings of the 15th ACM International Conference on Information and Knowledge Management (CIKM 2006) (pp. 387-396). New York: ACM Press.
31. Macdonald, C., & Ounis, I. (2007a). Expertise drift and query expansion in expert search. In A.H.F. Laender, A.O. Falcão, Ø.H. Olsen, M.J. Silva, R. Baeza-Yates, D. L. McGuinness, & B. Olstad, Proceedings of the 16th ACM Conference on Information and Knowledge Management (CIKM 2007) (pp. 341-350). New York: ACM Press.
32. Macdonald, C., & Ounis, 1. (2007b, October). A belief network model for expert search. Paper presented at the 1st International Conference on Theory of Information Retrieval (ICTIR), Budapest, Hungary. Retrieved December 29, 2008, from http://ir.dcs.gla.ac.uk/terrier/publications/macdonald07networks.pdf
33. Maybury, M., D'Amore, R., & House, D. (2001). Expert finding for collaborative virtual environments. In J. Ragusa & G. Bochenek (Eds.), Special section on collaboration virtual design environments. Communications of the ACM, 44(12), 55-56.
34. Metzler, D., Lavrenko, V., & Croft, W.B. (2004). Formal multiple Bernoulli models for language modeling. In M. Sanderson, K. Järvelin, J. Allan, & P. Bruza (Eds.), Proceedings of the 27th Annual International ACM S1GIR Conference on Research and Development in Information Rettieval (SIGIR 2004) (pp. 540-541). New York: ACM Press.
35. Nenadic, G., & Ananiadou, S. (2006). Mining semantically related terms from biomedical literature. ACM Transactions on Asian Language Information Processing, 5(1), 22-43.
36. Page, L., Brin, S., Motwani, R., & Winograd, T. (1998). The PageRank citation ranking: Bringing order to the Web (Tech. Rep. No. 1999-66). CA: Stanford University, Stanford Info Lab.
37. Petkova, D., & Croft, W.B. (2006). Hierarchical language models for expert finding in enterprise corpora. In C.T, Liu, A. Lim, & N. Bourbakis (Eds.), Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (pp. 599-608). Piscataway, NJ: IEEE Computer Society.
38. Petkova, D., & Croft, W.B. (2007a). UMass at TREC 2006: Enterprise track. In E.M. Vorhees & L.P. Buckland (Eds.), The 15th Text REtrieval Conference Proceedings (TREC 2006). Retrieved December 29, 2008, from http://trec.nist.gov/pubs/trec15/papers/umass.ent.final.pdf
39. Petkova, D., & Croft, W.B. (2007b). Proximity-based document representation for named entity retrieval. In A.H.F. Laender, A.O. Falcao, Ø.H. Olsen, M.J. Silva, R. Baeza-Yates, D. L. McGuinness, & B. Olstad, Proceedings of the 16th ACM Conference on Information and Knowledge Management (CIKM 2007) (pp. 731-740). New York: ACM Press.
40. Robertson, S.E., Walker, S., Beaulieu, M.M., Gatford, M., & Payne, A. (1995). Okapi at TREC-4. In D.K. Harman (Ed.), The 4th Text REtrieval Conference Proceedings (TREC 4) (pp. 73-96). Springfield, VA: National Technical Information Service.
41. Salton, G., Fox, E.A., & Wu, H. (1983). Extended boolean information retrieval. Communications of ACM, 26, 1022-1036.
42. Salton, G., & Buckley, C. (1988). Term-weighting approaches in automatic text retrieval. Information Processing & Management, 24(5), 513-523.
43. Serdyukov, P., & Hiemstra, D. (2008, April). Modeling documents as mixtures of persons for expert finding. Paper presented at the 30th European Conference on 1R Research (EC1R 2008). Retrieved December 28, 2008, from http://wwwhome.cs.utwente.nl/~hiemstra/papers/ecir08.pdf
44. Silverstein, C., Henzinger, M.R., Marais, H., & Moricz, M. (1999). Analysis of a very large Web search engine query log. SIGIR Forum, 33(1), 6-12.
45. Soboroff, I., de Vries, A.P., & Craswell, N. (2007). Overview of the TREC 2006 enterprise track. In E.M. Vorhees & L.P. Buckland (Eds.), The 15th Text REtrieval Conference Proceedings (TREC 2006). Retrieved December 29, 2008, from http://trec.nist.gov/pubs/trec15/papers/ENT06.OVERVIEW.pdf
46. Song, D., & Bruza, P.D. (2003). Towards context sensitive informational inference. Journal of the American Society for Information Science and Technology, 52(4), 321-334.
47. Vechtomova, O., Robertson, S., & Jones, S. (2003). Query expansion with long-span collocates. Information Retrieval, 6(2), 251-273.
48. Westerveld, T. (2007). Correlating topic rankings and person rankings to find experts. In E.M. Vorhees & L.P. Buckland (Eds.), The 15th Text REtrieval Conference Proceedings (TREC 2006). Retrieved December 29, 2008, from http://trec.nist.gov/pubs/trec15/papers/cwi.ent.final.pdf
49. Yao, C., Peng, B., He, J., & Yang, Z. (2006). CNDS expert finding system for TREC. In E.M. Vorhees & L.P. Buckland (Eds.), The 14th Text REtrieval Conference Proceedings (TREC 2005). Retrieved December 29, 2008, from http://trec.nist.gov/pubs/trec14/papers/pekingu-he.ent.pdf
50. Yimam-Seid, D., & Kobsa, A. (2003). Expert finding systems for organizations: Problem and domain analysis and the DEMOIR approach. Journal of Organizational Computing & Electronic Commerce, 13(1).
51. Zhao, H., & Lu. W (2007). Using document weight combining method for enterprise expert mining. In Proceedings of International Conference on Wireless Communications, Networking and Mobile Computing (WiCom 2007). Retrieved December 29, 2008, from http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber= 04340695
52. Zhu. J., Song, D., Rüger, S., Eisenstadt, M., & Motta, E., (2007). The open university at TREC 2006 enterprise track expert search task. In E.M. Vorhees & L.P. Buckland (Eds.), The 15th Text REtrieval Conference Proceedings (TREC 2006). Retrieved December 29, 2008, from http://trec.nist.gov/ pubs/trec15/papers/openu.ent.final.pdf