Query expansion behavior within a thesaurus-enhanced search environment: A user-centered evaluation

Journal of the American Society for Information Science and Technology

Volumn 57, Issue 4, 2006, Pages 462-478

  Shiri, Ali ^a   Revie, Crawford ^b  

^a UNIVERSITY OF ALBERTA   (Canada)

^b UNIVERSITY OF STRATHCLYDE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER SOFTWARE; DATA ACQUISITION; SEARCH ENGINES; STUDENTS; WORLD WIDE WEB;

DATA-GATHERING TECHNIQUES; QUERY EXPANSION; THESAURUS;

QUERY LANGUAGES;

EID: 25844510081     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.20319     Document Type: Article

References (88)

1. Agosti, M., Gradenigo, G., & Marchetti, P.G. (1992). A hypertext environment for interacting with large textual databases. Information Processing and Management, 28(3), 371-387.
2. Anderson, J.D., & Rowley, F.A. (1991). Building end-user thesauri from full-text. In B.H. Kwasink & R. Fidel (Eds.). Advances in classification research, Proceedings of the 2nd ASIS SIG/CR Classification Research Workshop (pp. 1-13). Medford. NJ: Learned Information.
3. Bates, M.J. (1986). Subject access in online catalogs: A design model. Journal of the American Society for Information Science, 37(6), 357-376.
4. Bates, M.J. (1990, November). Design for a subject search interface and online thesaurus for a very large record management database. In D. Henderson (Ed.), Proceedings of the 53rd annual meeting of the American Society for Information Science (pp. 20-28). Medford, NJ: Learned Information.
5. Bates, M.J. (1998). Indexing and access for digital libraries and the Internet: Human, database, and domain factors. Journal of the American Society for Information Science, 49(13), 1185-1205.
6. Beaulieu, M. (1997). Experiments of interfaces to support query expansion. Journal of Documentation, 53(1), 8-19.
7. Beaulieu, M., Fieldhouse, M., & Do, T. (1995). An evaluation of interactive query expansion in an online library catalogue with a graphical user interface. Journal of Documentation, 51(3), 225-243.
8. Beaulieu, M., & Robertson, S. (1996). Evaluating interactive systems in TREC. Journal of the American Society for Information Science, 47(1), 85-94.
9. Belkin, N.J., Cool, C., Stein, A., & Thiel. U. (1995). Cases, scripts and information-seeking strategies: On the design of interactive information retrieval systems. Expert Systems and Applications, 9(3). 379-395.
10. Belkin, N.J., Marchetti, P.O., & Cool, C. (1993). BRAQUE: Design of an interface to support user interaction in information retrieval. Information Processing and Management, 29(3), 325-344.
11. Borgman, C.L., Hirsh, S.G., & Hiller, J. (1996). Rethinking online monitoring methods for information retrieval systems: From search product to search process. Journal of the American Society for Information Science, 47(7), 568-583.
12. Brajnik, G., Mizzaro, S., & Tasso, C. (1996, August). Evaluating user interfaces to information retrieval systems: A case study on user support. Proceedings of the 19th annual conference on Research and Development in Information Retrieval (ACM/SIGIR) (pp. 128-136). Zurich, Switzerland.
13. Chen, H., & Dhar, V. (1991). Cognitive process as a basis for intelligent retrieval systems design. Information Processing and Management, 27(7), 405-432.
14. Chen, H., Martinez, J., Kirchhoff, T., Ns, D., & Schatz, B.R. (1998). Alleviating search uncertainty through concept associations: Automatic indexing, co-occurrence analysis, and parallel computing. Journal of the American Society for Information Science, 49(3), 206-216.
15. Chen, H., & Ng, T. (1995). An algorithmic approach to concept exploration in a large knowledge network (automatic thesaurus consultation): Symbolic Branch-and-Bound search vs. connectionist Hopfield net activation. Journal of the American Society for Information Science, 46(5), 348-369.
16. Chen, H., & Ng, T.D. (1997). A concept space approach to addressing the vocabulary problem in scientific information retrieval: An experiment on the worm community system. Journal of the American Society for Information Science, 48(1), 17-31.
17. Chen, H., Schatz, B., Yim, T., & Fye, D. (1995). Automatic thesaurus generation for an electronic community system. Journal of the American Society for Information Science, 46, 175-193.
18. Cochrane, P.A. (1992). Indexing and searching thesauri, the Janus or Proteus of information retrieval. In N.J. Williamson & M. Hudon (Eds.), Classification research for knowledge organization, FID (pp. 161-178). Amsterdam: Elsevier.
19. Cousins, S.A. (1992). Enhancing access to OPACs: Controlled vs. natural language. Journal of Documentation, 48(3), 291-309.
20. Ding, Y., Chowdhury, G.G., & Foo, S. (2000). Incorporating the results of co-word analyses to increase search variety for information retrieval. Journal of Information Science, 26(6), 429-451.
21. Dubois, C.P.R. (1987). Free text vs. controlled vocabulary: A reassessment. Online Review, 11(4), 243-253.
22. Efthimiadis, E.N. (1993). A user-centred evaluation of ranking algorithms for interactive query expansion. In R. Korfhage, E. Rasmussen, & P. Willett (Eds.), Proceedings of the 16th annual conference on Research and Development in Information Retrieval of the Association for Computing Machinery Special Interest Group on Information Retrieval (ACM/SIGIR) (pp. 146-159). New York: ACM Press.
23. Efthimiadis, E.N. (1995). User choices: A new yardstick for the evaluation of ranking algorithms for interactive query expansion. Information Processing and Management, 31(4), 605-620.
24. Efthimiadis, E.N. (1996). Query expansion. In M.E. Williams (Ed.). Annual review of information science and technology (pp. 121-187). Medford, NJ: Information Today.
25. Efthimiadis, E.N. (2000). Interactive query expansion: A user-based evaluation in a relevance feedback environment. Journal of the American Society for Information Science, 51(11), 989-1003.
26. Fenichel, C.H. (1981). Online searching: Measures that discriminate among users with different types of experiences. Journal of the American Society for Information Science, 32(1), 23-32.
27. Fidel, R. (1991). Searchers' selection of search keys: II. Controlled vocabulary or free text searching. Journal of the American Society for Information Science, 42(7), 501-514.
28. Fidel, R. (1992). Who needs controlled vocabulary? Special Libraries, 83(1), 1-9.
29. Fowkes, H., & Beaulieu, M. (2000). Interactive searching behaviour: Okapi experiment for TREC-8. The BCS/IRSG 22nd annual colloquium on Information Retrieval Research (pp. 47-56). Cambridge England: BCS/IRSG.
30. Greenberg, J. (2001a). Automatic query expansion via lexical-semantic relationships. Journal of the American Society for Information Science and Technology, 52(5), 402-415.
31. Greenberg, J. (2001b). Optimal query expansion (QE) processing methods with semantically encoded structures thesauri terminology. Journal of the American Society for Information Science and Technology, 52(6), 487-498.
32. Harman, D.K. (1988). Toward interactive query expansion. In Y. Chiaramella (Ed.), Proceedings of the 11th annual conference on Research and Development in Information Retrieval of the Association for Computing Machinery Special Interest Group on Information Retrieval (ACM/SIGIR) (pp. 321-331). Grenoble, France: Presses Universitaires de Grenoble.
33. Harter, S., & Hert, C.A. (1998). Evaluation of information retrieval systems: Approaches, issues and methods. In M.E. Williams (Ed.), Annual review of information science and technology (Vol. 3, pp. 23-94). Washington, DC: American Society for Information Science.
34. Hearst, M.A., & Karadi, C. (1997, July). Cat-a-Cone: An interactive interface for specifying searches and viewing retrieval results using a large category hierarchy. In Proceedings of the 20th annual conference on Research and Development in Information Retrieval of the Association for Computing Machinery Special Interest Group on Information Retrieval (ACM/SIGIR) (pp. 246-255). New York: ACM Press.
35. Howard, H. (1982). Measures that discriminate among online users with different training and experience. Online Review, 6(4), 315-326.
36. Hsieh-Yee, I. (1993). Effects of search experience and subject knowledge on the search tactics of novice and experienced searchers. Journal of the American Society for Information Science, 44(3), 161-174.
37. Ingwersen, P. (1996). Cognitive perspectives of information retrieval interaction: Elements of a cognitive IR theory. Journal of Documentation, 52(1), 3-50.
38. Jansen, B.J. (2000). The effect of query complexity on Web searching results. Information Research, 6(1), Retrieved June 10, 2003, from http://InformationR.net/ir/6-1 /paper87.html
39. Jing, Y., & Croft, W.B. (1994). The association thesaurus for information retrieval. In Proceedings of RIAO '94: Intelligent Multimedia Information Retrieval Systems and Management (pp. 146-160). Paris: CID.
40. Johnson, E.H., & Cochrane, P.A. (1995, June). A hypertextual interface for a searcher's thesaurus. In Digital Libraries '95: Proceedings of the 2nd annual conference on the Theory and Practice of Digital Libraries, Austin, TX.
41. Jones, S., Gatford, M., Hancock-Beaulieu, M., Robertson, S.E., Walker, W., & Secker, J. (1995). Interactive thesaurus navigation: Intelligence rules Ok? Journal of the American Society for Information Science, 46(1), 52-59.
42. Jones, S., & Hancock-Beaulieu, M. (1994, June). Support strategies for interactive thesaurus navigation. In H. Albrechtsen & S. Ørnager (Eds.), Knowledge organization and quality management, Proceedings of the 3rd International ISKO Conference, Copenhagen, Denmark: Advances in Knowledge Organization (Vol. 4, pp. 366-373). Frankfurt/Main: Indeks.
43. Kekäläinen, J., & Jarvelin, K. (1998). The impact of query structure and query expansion on retrieval performance. In W.B. Croft, A. Moffat, C.J. van Rijsbergen, R. Wilkinson, & J. Zobel (Eds.), Proceedings of the 21st annual conference on Research and Development in Information Retrieval of the Association for Computing Machinery Special Interest Group on Information Retrieval (ACM/SIGIR) (Vol. 98, pp. 130-137). New York: ACM Press.
44. Knapp, S.D., Cohen, L.B., & Judes, D.R. (1998). A natural language thesaurus for humanities. Library Quarterly, 68(4), 406-430.
45. Koenemann, J., Quatrain, R., & Belkin, N. (1994). New tools and old habits: The interactive searching behavior of expert online searchers using INQUERY In TREC-3. In D. Harman (Ed.), Proceedings, of the Third Text Retrieval Conference (pp. 144-177). Washington, DC: GPO.
46. Kristensen, J. (1993). Expanding end-users' query statements for free text searching with a search-aid thesaurus. Information Processing and Management, 29(6), 733-744.
47. Kristensen, J., & Jarvelin, K. (1990). The effectiveness of a searching thesaurus in tree text searching of a full-text database. International Classification, 17(2), 77-84.
48. Kristensen, J., & Jarvelin, K. (1998). The impact of query structure and query expansion on retrieval performance. SIGIR '98: Proceedings of the 21st annual Conference on Research and Development in Information Retrieval for the Association for Computing Machinery Special Interest Group on Information Retrieval (ACM SIGIR) (pp. 130-137). New York: ACM Press.
49. Lin, X. (1999, August). Visual MeSH. In M. Hearst, F. Gey, & R. Tong (Eds.), Proceedings of 22nd annual conference on Research and Development in Information Retrieval of the Association for Computing Machinery Special Interest Group on Information Retrieval (ACM/SIGIR) (pp. 317-318). New York: ACM Press.
50. Magennis, M., & Van Rijsbergen, C.J. (1997, July). The potential and actual effectiveness of interactive query expansion. Proceedings of the 20th annual conference on Research and Development in Information Retrieval Association for Computing Machinery Special Interest Group on Information Retrieval (ACM/SIGIR) (pp. 324-332). New York: ACM Press.
51. Mandala, R., Tokunaga, T., & Tanaka, H. (1999). Combining multiple evidence from different types of thesaurus for query expansion. In M. Hearst, F. Gey, & R. Tong (Eds.), Proceedings of the 22nd annual conference on Research and Development in Information Retrieval of the Association for Computing Machinery Special Interest Group on Information Retrieval (ACM/SIGIR) (pp. 191-197). New York: ACM Press.
52. Marchionini, G. (1989). Information-seeking strategies of novices using a full-text electronic encyclopedia. Journal of the American Society for Information Science, 40(1), 54-66.
53. Marchionini, G., Meadow, C., Dwiggins, S., Lin, X., Wang, J., & Yuan, W. (1991). A study of user interaction with information retrieval interfaces: Progress report. Canadian Journal of Information Science, 16(4), 42-59.
54. Markey, K., Atherton, P., & Newton, C. (1980). An analysis of controlled and free-text search statements in online searches. Online Review, 4(3), 225-236.
55. Meadow, C., Wang, J., & Yuan, W. (1995). A study of user performance and attitudes with information retrieval interfaces. Journal of the American Society for Information Science, 46(7), 490-505.
56. Muddamalle, M.R. (1998). Natural language versus controlled vocabulary in information retrieval: A case study in soil mechanics. Journal of the American Society for Information Science, 49(10), 881-887.
57. Park, S. (2000). Usability, user preferences, effectiveness and user behaviors when searching individual and integrated full-text databases: Implications for digital libraries. Journal of the American Society for Information Science and Technology, 51(5), 456-468.
58. Penniman, W.D., & Dominick, W.D. (1980). Monitoring and evaluation of on-line information system usage. Information Processing and Management, 16(1), 17-35.
59. Perez, E. (1982). Text enhancement: Controlled vocabulary vs. free text. Special Libraries, 73(July), 183-192.
60. Piternick, A. (1984). Searching vocabularies: A developing category of online searching tools. Online Review, 8(5), 441-449.
61. Pollitt, A.S., Ellis, G.P., & Smith, M.P. (1994). HIBROWSE for bibliographic databases. Journal of Information Science, 20(6), 413-426.
62. Qiu, Y., & Frei, H.P. (1993, June-July). Concept-based query expansion. In Proceedings of the 16th annual conference on Research and Development in Information Retrieval Association for Computing Machinery Special Interest Group on Information Retrieval (ACM/SIGIR) (pp. 160-169). New York: ACM Press.
63. Robertson. S.E., & Beaulieu. M. (1997). Research and evaluation in information retrieval. Journal of Documentation, 53(1), 51-57.
64. Robertson, S.E., & Hancock-Beaulieu, M. (1992). On the evaluation of IR systems. Information Processing and Management, 28(4), 457-466.
65. Rowley, J. (1994). The controlled versus natural indexing languages debate revisited: A perspective on information retrieval practice and research. Journal of Information Science, 20(2), 108-119.
66. Saracevic, T. (1995, July). Evaluation of evaluation in information retrieval. In E.A. Fox, P. Ingwersen, & F. Fidel (Eds.), Proceedings of the 18th conference on Research and Development in Information Retrieval (SIGIR '95), Seattle, WA (pp. 138-146). New York: ACM Press.
67. Saracevic, T. (1996). Relevance reconsidered. Information science: Integration in perspectives. In Proceedings of the 2nd annual conference on Conceptions of Library and Information Science (pp. 201-218). Copenhagen: Royal School of Librarianship.
68. Saracevic, T. (1997). The stratified model of information retrieval interaction: Extension and applications. In C. Schwartz & M. Rorvig (Eds.), ASIS '97: Proceedings of the American Society for Information Science (Vol. 34, pp. 313-327). Silver Spring, MD: ASIS.
69. Saracevic, T., & Kantor, P. (1988a). A study of information seeking and retrieving: II. Users, questions and effectiveness. Journal of the American Society for Information Science, 39(3), 177-196.
70. Saracevic, T., Kantor, P., Chamis, A.Y., & Trivison, D. (1988). A study of information seeking and retrieving: I. Background and methodology. Journal of the American Society for Information Science, 39(3), 161-176.
71. Schatz, B.R., Johnson, E.H., Cochrane, P.A., & Chen, H. (1996). Interactive term suggestion for users of digital libraries: Using subject thesauri and co-occurrence lists for information retrieval. In Proceedings of the 1st annual Association for Computing Machinery International Conference on Digital Libraries (pp. 126-133). Bethesda, MD: ACM Press.
72. Schutze, H., & Pedersen, J. (1997). A co-occurrence-based thesaurus and two applications to information retrieval. Information Processing and Management, 33(3), 307-318.
73. Shiri, A.A. (2003). End-user interaction with thesaurus-enhanced search interfaces: An evaluation of search term selection for query expansion. Unpublished doctoral dissertation, University of Strathclyde, Department of Computer and Information Sciences, Glasgow, United Kingdom.
74. Shiri, A.A., & Revie, C. (2000). Thesauri on the Web: Current developments and trends. Online Information Review. 24(4), 273-279.
75. Shiri, A.A., & Revie, C. (2004). End-user interaction with thesauri: An evaluation of cognitive overlap in search term selection. In C. McIlwaine (Ed.), Proceedings of the 8th International Society for Knowledge Organization (ISKO) Conference (pp. 233-238). Wurzburg, Germany: Ergon.
76. Shiri, A.A., & Revie, C. (2005). Usability and user perceptions of a thesaurus-enhanced search interface. Journal of Documentation, 61(5), 640-656.
77. Shiri, A.A., Revie, C., & Chowdhury, G. (2002a). Thesaurus-enhanced search interfaces. Journal of Information Science, 28(2), 111-122.
78. Shiri, A.A., Revie, C., & Chowdhury, G. (2002b). Assessing the impact of user interaction with thesaurual knowledge structures: A quantitative analysis framework. In M.J. Lopez-Huertas (Ed.), Challenges in knowledge representation and organization for the 21st century: Integration of knowledge across boundaries, Proceedings of the 7th annual conference of the International Society for Knowledge Organization (ISKO) (pp. 493-499). Würzburg, Germany: Ergon Verlag.
79. Solomon, P. (1993). Children's information retrieval behavior: A case analysis of an OPAC. Journal of the American Society for Information Science, 44(5), 245-264.
80. Spink, A. (1994). Term relevance feedback and mediated database searching: Implications for information retrieval practice and systems design. Information Processing and Management, 31(2), 161-171.
81. Spink, A. (2002). A user-centered approach to evaluating human interaction with Web search engines: An exploratory study. Information Processing and Management, 38(3), 401-426.
82. Spink, A., & Saracevic, T. (1997). Interaction in information retrieval: Selection and effectiveness of search terms. Journal of the American Society for Information Science, 48(8), 741-761.
83. Sugar, W. (1995). User-centered perspective of information retrieval research and analysis methods. In M.E. Williams (Ed.), Annual review of information science and technology (ARIST) (Vol. 30, pp. 77-109). Medford, NJ: ASIS.
84. Sutcliffe, A.G., Ennis, M., & Watkinson, S.J. (2000). Empirical studies of end-user information searching. Journal of the American Society for Information Science, 51(13), 1211-1231.
85. Svenonius, E. (1986). Unanswered questions in the design of controlled vocabularies. Journal of the American Society for Information Science, 37(5), 331-340.
86. Vakkari, P. (2000). Cognition and changes of search terms and tactics during task performance: A longitudinal case study. Proceedings of the Content-Based Multimedia Information Access RIAO Conference (pp. 894-907). Paris: C.I.D.
87. Vakkari, P., Pennanen, M., & Serola, S. (2003). Changes of search terms and tactics while writing a research proposal: A longitudinal case study. Information Processing and Management, 39(3), 445-463.
88. Voorhees, E.M. (1994). Query expansion using lexical-semantic relations. In W.B. Croft & C.J. Rijsbergen (Eds.), Proceedings of the 17th Annual Conference on Research and Development in Information Retrieval Association for the Computing Machinery Special Interest Group on Information Retrieval (ACM/SIGIR) (pp. 61-69). Berlin: Springer-Verlag.