User search behavior of domain-specific information retrieval systems: An analysis of the query logs from PsycINFO and ABC-Clio's historical abstracts/America: History and life

Journal of the American Society for Information Science and Technology

Volumn 57, Issue 9, 2006, Pages 1208-1220

  Yi, Kwan ^a   Beheshti, Jamshid ^b   Cole, Charles ^b   Leide, John E ^b   Large, Andrew ^b  

^a UNIVERSITY OF KENTUCKY   (United States)

^b MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

MULTIWORD TERMS (MWT); QUERY LOGS; SUBJECT BOUND DATABASES;

ABSTRACTING; DATA STRUCTURES; DATABASE SYSTEMS; INFORMATION RETRIEVAL; QUERY LANGUAGES; SEARCH ENGINES; WORLD WIDE WEB;

INFORMATION THEORY;

EID: 33749580748     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.20401     Document Type: Article

References (79)

1. Alemayehu, N. (2003). Analysis of performance variation using query expansion. Journal of the American Society for Information Science and Technology, 54(5), 379-391.
2. Barsalou, L.W. (1992). Cognitive psychology: An overview for cognitive scientists. Hillsdale, NJ: Erlbaum.
3. Bates, M J. (1994). The design of databases and other information resources for humanities scholars: The Getty online search project report no. 4. Online and CD-ROM Review, 18, 331-340.
4. Bates, M. (1996). The Getty-end-user online searching project in the humanities: Report no. 6: Overview and conclusions. College & Research Libraries, 57, 514-523
5. Bates, M.J., Wilde, D.N., & Siegfried, S. (1993). An analysis of search terminology used by humanities scholars: The Getty online searching project report no. 1. Library Quarterly, 63, 1-39.
6. Beghtol, C. (1997). What is an event? Domain analysis of narrative documents. Knowledge Organization for Information Retrieval: Proceedings of the 6th International Study Conference on Classification Research (pp. 57-59). The Hague, Netherlands: International Federation for Information and Documentation.
7. Belkin, N.J., Oddy, R.N., & Brooks, H.M. (1982). ASK for Information Retrieval: Part I. Background and Theory. Journal of Documentation, 38(2), 61-71.
8. Biglan, A. (1973). The characteristics of subject matter in different academic areas. Journal of Applied Psychology, 57, 195-203.
9. Borgman, C. (Ed.). (1990), Scholarly communication and bibliometrics. Newbury Park, CA: Sage.
10. Braxton, J.M., & Hargens, L.L. (1996). Variation among academic disciplines: Analytical frameworks and research. In J. Smart & W.J. Tierney (Eds.), Higher education: Handbook of research and theory (pp. 1-46). New York: Agathon Press.
11. Brittain, J.M. (1979). Information services and the structure of knowledge in the social sciences. International Social Sciences Journal, 31(4), 711-728.
12. Buckland, M.K. (1983). Library services in theory and context. New York: Pergamon Press.
13. Callender, J. (2002). Perl for web site management. Sebastopol, CA: O'Reilly.
14. Choi, Y., & Rasmussen, E.M. (2003). Searching for images: The analysis of users' queries for image retrieval in American history. Journal of the American Society for Information Science and Technology, 54(6), 498-511.
15. Cole, C. (2000a). Inducing expertise in history doctoral students via enabling information retrieval design. Library Quarterly, 70(1), 86-109.
16. Cole, C. (2000b). Interaction with an 'enabling' information retrieval system: Modeling the user's decoding and encoding operations. The Journal of the American Society for Information Science, 51(5), 417-426.
17. Cole, C. (2000c). Name collection by Ph.D. history students: Inducing expertise. Journal of the American Society for Information Science, 51(5), 444-455.
18. Cole, C., & Leide, J. (2003). Using the user's mental model to guide integration of information space into information need. Journal of the American Society for Information Science and Technology, 54(1), 39-46.
19. Cole, C., Leide, J.E., Beheshti, J., Large, A., & Brooks, M. (2005). Investigating the Anomalous States of Knowledge hypothesis in a real-life problem situation: A study of history and psychology undergraduates seeking information for a course essay. Journal of the American Society for Information Science and Technology.
20. Cole, C., Leide, J.E., Large, A., Beheshti, J., & Brooks, M. (2005). Putting it together online: Information need identification for the domain novice user. Journal of the American Society for Information Science and Technology, 56(7), 684-694.
21. Crouch, C.J., Crouch, D.B., Chen, Q., & Holtz, S.J. (2002). Improving the retrieval effectiveness of very short queries. Information Processing & Management, 38(1), 1-36.
22. Denning, R., Shuttleworth, M., & Smith, P. (1998). Interface design concepts in the development of a Web-based information retrieval system. Bulletin of the American Society for Information Science, 24(4), 17-20.
23. DIALOG Bluesheets. (2006). Retrieved March 24, 2006, from http://library.dialog.com/bluesheets
24. Drabenstott, K.M., & Weller, M.S. (1996). Failure analysis of subject searches in a test of a new design for subject access to online catalogs. Journal of the American Society for Information Science, 47(7), 519-537.
25. Ester, M., Kriegel, H.-P., Sander, J., & Xu, X. (1996). A density-based algorithm for discovering clusters in large spatial databases with noise. Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining (KDD-96) (pp. 226-231). Portland OR: AAAI Press.
26. Gaddis, J.L. (2002). The landscape of history: How historians map the past. Oxford: Oxford University Press.
27. Gilmore, M.B., & Case, D.O. (1992). Historians, books, computers, and the library. Library Trends, 40, 667-686.
28. Graziano, V. (2001). Humanities. In C.J. Armstrong & A. Large (Eds.), Manual of online search strategies, Vol. 3: Humanities and social sciences (3rd ed., pp. 125-212). Aldershot: Gower.
29. Green, R. (2000). Locating sources in humanities scholarship: The efficacy of following bibliographic references. Library Quarterly, 70(2), 201-229.
30. Hacking, I. (2001). An introduction to probability and inductive logic. Cambridge: Cambridge University Press.
31. Harter, S.P. (1986). Online information retrieval: Concepts, principles, and techniques. San Diego: Academic Press.
32. Hearst, M.A. (1999). User interfaces and visualization. In B.-Y. Ricardo & R.-N. Berthier (Eds.), Modern information retrieval (pp. 257-323). New York: ACM Press.
33. Hoelscher, C. (1998, November). How Internet experts search for information on the web. Paper presented at the World Conference of the World Wide Web, Internet and Intranet, Orlando, FL.
34. Hsieh-Yee, J. (1993). Effect 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.
35. Jansen, B.J. (2000). The effect of query complexity on web searching results. Information Research, 6(1). Retrieved March 22, 2005, from http://informationr.net/ir/6-1/paper87.html
36. Jansen, B.J., & Pooch, U. (2001). A review of web searching studies and a framework for future research. Journal of the American Society for Information Science and Technology, 52(3), 235-246.
37. Jansen, B.J., Spink, A., & Pedersen, J. (2005). A temporal comparison of AltaVista Web searching. Journal of the American Society for Information Science and Technology, 56(6), 559-570.
38. Jones, S., Cunningham, S., & McNab, R. (1998). Using analysis of a digital library. Proceedings of the Third ACM Conference on Digital Libraries (pp. 293-294). Pittsburgh, PA.
39. Koenemann, J., & Belkin, N. (1996). A case for interaction: A study of interactive information retrieval behavior and effectiveness. In M.J. Tauber, V. Bellotti, R. Jeffries, J.D. Mackinlay, & J. Nielsen (Eds.), Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (pp. 205-212). New York: ACM.
40. Kuhlthau, C.C. (1993). Seeking meaning: A process approach to library and information services. Norwood, NJ: Ablex.
41. Kuhn, T.S. (1970). The structure of scientific revolutions. Chicago, IL: University of Chicago Press.
42. Lawrence, S., & Giles, C.L. (1999). Accessibility of information on the Web. Nature, 400, 107-109.
43. Library of Congress Cataloging Division. (1996). Cataloging distribution service. Subject cataloging manual: Subject headings (5th ed.). Washington, DC: Author.
44. Leide, J.E., Large, A., Beheshti, J., Brooks, M., & Cole, C. (2003). Visualization schemes for domain novices exploring a topic space: The navigation classification scheme. Information Processing & Management, 39(6), 923-940.
45. Mat-Hassan, M., & Levene, M. (2005). Associating search and navigation behavior through log analysis. Journal of the American Society for Information Science and Technology, 56(9), 913-934.
46. McGrath, W. (1978). Relationships between hard/soft, pure/applied, and life/non-life disciplines and subject book use in a university library. Information Processing & Management, 14, 17-28.
47. Neuman, D. (1999, March). What do we do after the school has been wired? Providing intellectual access to digital resources. NASSP Bulletin, pp. 35-43.
48. Nicholas, D., Huntington, P., Williams, P., & Dobrowolski, T. (2005). The digital information consumer. In A. Spink & C. Cole (Eds.), New directions in human information behavior. Dordrecht: Springer.
49. Oxford Dictionary of Current English. (1984). Oxford: Oxford University Press.
50. Paisley, W. (1990). The future of bibliometrics. In C. Borgman (Ed.), Scholarly communication and bibliometrics (pp. 281-299). Newbury Park, CA: Sage.
51. Pennanen, M., & Vakkari, P. (2003). Students' conceptual structure, search process, and outcome while preparing a research proposal: A longitudinal case study. Journal of the American Society for Information Science and Technology, 54(8), 759-770.
52. Pomerantz, J. (2005). A linguistic analysis of question taxonomies. Journal of the American Society for Information Science and Technology, 56(7), 715-728.
53. Pu, H.-T., Chuang, S.-L., & Yang, C. (2002). Subject categorization of query terms for exploring web users' search interests. Journal of the American Society for Information Science and Technology, 53(8), 617-630.
54. Rice, R.E., & Borgman, C.L. (1983). The use of computer-monitored data in information science and communication research. Journal of the American Society for Information Science, 34(4), 247-256.
55. Robinson, W.C. (2004). Introduction to the social sciences. Retrieved February 14, 2005, from http://web.utk.edu/~wrobinso/531_lec_SSgen.html
56. Ross, N., & Wolfram, D. (2000). End user searching on the Internet: An analysis of term pair topics submitted to the Excite search engine. Journal of the American Society for Information Science, 51(10), 949-958.
57. Saracevic, T. (2004). Foreword. In A. Spink & B.J. Jansen, Web search: Public searching of the Web (pp. xi-xiii). Dordrecht: Kluwer.
58. Silverstein, C., Henzinger, M., Marais, H., & Moricz, M. (1999). Analysis of a very large web search engine query log. ACM SIGIR Forum, 33(1), 6-12.
59. Simonton, D.K. (2004). Psychology's status as a scientific discipline: Its empirical placement within an implicit hierarchy of the sciences. Review of General Psychology, 8(1), 59-67.
60. Spink, A., & Jansen, B.J. (2004). Web search: Public searching of the web. Dordrecht: Kluwer.
61. Spink, A., Wolfram, D., Jansen, B.J., & Saracevic, T. (2001). Searching the web: The public and their queries. Journal of the American Society for Information Science and Technology, 52(3), 226-234.
62. Stone, S. (1982). Humanities scholars: information needs and uses. Journal of Documentation, 38(4), 292-313.
63. Strauss, A., & Corbin, J. (1990). Basics of qualitative research: Grounded theory procedures and techniques. Newbury Park, CA: Sage.
64. Svenonius, E. (2004). The epistemological foundations of knowledge representations. Library Trends, 52(3), 571-587.
65. Swift, D.F., Winn, V.A., & Bramer, D.A. (1979). A sociological approach to the design of information systems. Journal of the American Society for Information Science, 30(4), 215-223.
66. Taylor, R.S. (1968). Question-negotiation and information seeking in libraries. College and Research Libraries, 29(3), 178-194.
67. Vakkari, P. (2000). Cognition and changes of search terms and tactics during task performance: a longitudinal study. In J. Mariani & D. Harman (Eds.), Proceedings of the RIAO'2000 Conference (pp. 894-907). Paris: C.I.D. Retrieved March 27, 2006, from http://www.info.uta.fi/vakkari/ Vakkari_Tactics_RIA02000.html
68. Vakkari, P., Pennanen, M., & Serola, S. (2003). Changes of search terms and tactics while writing a research proposal: A longitudinal case study. Information Processing & Management, 39(3), 445-463.
69. Vizine-Goetz, D., & Godby, J. (1996, October). Library classification schemes and access to electronic collections: Enhancement of the Dewey decimal classification with supplemental vocabulary. Paper presented at ASIS 1996 Classification Workshop, Baltimore, MD.
70. Walker, G. (1990). Searching the humanities: Subject overlap and search vocabulary. Database, 13, 37-46.
71. Wang, P. (1997). User's information needs at different stages of a research project: A cognitive view. In P. Vakkari, R. Savolainen, & B. Dervin (Eds.), Information seeking in context (pp. 307-318). London: Taylor & Francis.
72. Wanting, B. (1984). How do children ask questions in children's libraries. Social Sciences Information Studies, 4, 217-234.
73. Wang, P., Berry, M.W., & Yang, Y. (2003). Mining longitudinal web queries: Trends and patterns. Journal of the American Society for Information Science and Technology, 54(8), 743-758.
74. Wen, J.-R., Nie, J.-Y., & Zhang, H.-J. (2002). Query clustering using user logs. ACM Transactions on Information Systems, 20(1), 59-81.
75. Whitmire, E. (2002). Disciplinary differences and undergraduates' information-seeking behavior. Journal of the American Society for Information Science and Technology, 53(8), 631-638.
76. Wiberley, S.E. (1983). Subject access in the humanities and the precision of the humanities' vocabulary. Library Quarterly, 53, 420-33.
77. Wiberley, S.E. (1988). Names in space and time: The indexing vocabulary of the humanities. Library Quarterly, 58, 1-28.
78. Wolfram, D., & Xie, H. (2002). Traditional IR for web users: A context for general audience digital libraries. Information Processing & Management, 38, 627-648.
79. Yi, K. (2005). Text classification using a hidden Markov model. Unpublished doctoral dissertation, Graduate School of Library and Information Studies, McGill University, Montreal.