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ABSTRACT

This paper discusses use-centred resource description, a practice whereby an information object is assigned metadata that describes what it can be used for, as opposed to what it is. We look at precedents for this practice in the literature and present three cases of use-centred description in diverse information environments. Through analysis and comparison of the cases, we develop a preliminary framework for use-centred resource description.

REFERENCES

• 1: Belkin, N. J. 1980. Anomalous states of knowledge as a basis for information retrieval. Canadian Journal of Information Science. 5, 133--143.
• 2: William Jones , Ammy Jiranida Phuwanartnurak , Rajdeep Gill , Harry Bruce, Don't take my folders away!: organizing personal information to get ghings done, CHI '05 extended abstracts on Human factors in computing systems, April 02-07, 2005, Portland, OR, USA [doi>10.1145/1056808.1056952]
• 3: Bearman, D., 2007. Digital Libraries. Annual Review of Information Science and Technology, 41, 223--272.
• 4: Coyle, K. and Hillman, D. 2007. Resource description and access (RDA): cataloging rules for the 20th century. D-Lib Magazine, 13 (1/2). DOI= http://www.dlib.org/dlib/january07/coyle/01coyle.html
• 5: Markey, K. 2007. The online library catalog: paradise lost and paradise regained? D-Lib Magazine, 13(1/2). DOI= http://www.dlib.org/dlib/january07/markey/01markey.html
• 6: Dagobert Soergel, Organizing Information: Principles of Data Base and Retrieval Systems, Harcourt Brace & Co. Canada, Toronto, Ont., Canada, 1985
• 7: Jens-Erik Mai, Analysis in indexing: document and domain centered approaches, Information Processing and Management: an International Journal, v.41 n.3, p.599-611, May 2005 [doi>10.1016/j.ipm.2003.12.004]
• 8: Birger Hjørland , Hanne Albrechtsen, Toward a new horizon in information science: domain-analysis, Journal of the American Society for Information Science, v.46 n.6, p.400-425, July 1995 [doi>10.1002/(SICI)1097-4571(199507)46:6<400::AID-ASI2>3.0.CO;2-Y]
• 9: Fox, M. J. 2001.Stargazing: locating EAD in the descriptive firmament. In Encoded Archival Description in the Internet, D. V. Pitti and W. M. Duff, Eds. Haworth Press, Birmington, NY, 61--74.
• 10: Peter Ingwersen , Kalervo Järvelin, The Turn: Integration of Information Seeking and Retrieval in Context (The Information Retrieval Series), Springer-Verlag New York, Inc., Secaucus, NJ, 2005
• 11: Vakkari, P. 2003. Task-based information searching. Annual Review of Information Science and Technology, 37, 413--463.
• 12: Raya Fidel, User-centered indexing, Journal of the American Society for Information Science, v.45 n.8, p.572-576, Sept. 1994 [doi>10.1002/(SICI)1097-4571(199409)45:8<572::AID-ASI11>3.0.CO;2-X]
• 13: Pejtersen, A. M. 1989. The book house: modelling user's needs and search strategies as a basis for system design. Riso National Laboratory: Roskilde, Denmark.
• 14: Nielsen, M. L. 2001. A framework for work task based thesaurus design. Journal of Documentation, 57(6), 774--797.
• 15: Suzanne Kabel , Robert de Hoog , Bob J. Wielinga , Anjo Anjewierden, The added value of task and ontology-based markup for information retrieval, Journal of the American Society for Information Science and Technology, v.55 n.4, p.348-362, February 15, 2004 [doi>10.1002/asi.10379]
• 16: Birger Hjørland, The concept of “subject” in information science, Journal of Documentation, v.48 n.2, p.172-200, June 1992 [doi>10.1108/eb026895]
• 17: Plassard, M. F., ed. 1998. Functional requirements for bibliographic records: final report of the IFLA study group on functional requirements for bibliographic records. UBCIM Publications. DOI=http://www.ifla.org/VIII/s13/frbr/frbr.pdf.
• 18: International Council on Archives. 1999. ISAD(G): General international standard archival description. DOI= http://www.icacds.org.uk/eng/ISAD(G).pdf.
• 19: Heaney, M. 1999. An analytical model of collections and their catalogues. DOI=http://www.ukoln.ac.uk/metadata/rslp/model/amccv31.
• 20: Mathes, A. 2004. Folksonomies - cooperative classification and communication through shared metadata. DOI=http://www.adammathes.com/academic/computer-mediated-communication/folksonomies.html.
• 21: Kipp, M. E. I. 2006. Complementary or discrete contexts in online indexing: a comparison of user, creator and intermediary keywords. In Proceedings of the Canadian Association for Information Science Conference (Toronto, Canada) DOI= http://eprints.rclis.org/archive/00008379/01/mkipp-caispaper.pdf
• 22: Butterworth, R. 2007. Use centred descriptions of archival holdings in university libraries in Social Information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively, D. H. Goh and S. Foo, Eds. Information Science Reference, 67--86.
• 23: Luanne Freund , Elaine G. Toms , Charles L.A. Clarke, Modeling task-genre relationships for IR in the workplace, Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, August 15-19, 2005, Salvador, Brazil [doi>10.1145/1076034.1076110]
• 24: C. A. Singer, Context-specific intellectual capital—The next link in the knowledge chain, IBM Systems Journal, v.42 n.3, p.446-461, July 2003
• 25: Voss, J., 2007. Tagging, folksonomy & co. - renaissance of manual indexing?, In 10th international Symposium for Information Science (Cologne, Germany). DOI= http://arxiv.org/PS_cache/cs/pdf/0701/0701072v2.pdf
• 26: Scott A. Golder , Bernardo A. Huberman, Usage patterns of collaborative tagging systems, Journal of Information Science, v.32 n.2, p.198-208, April 2006 [doi>10.1177/0165551506062337]
• 27: Kipp, M. E. I. and Campbell, D. G. 2006. Patterns and inconsistencies in collaborative tagging systems: an examination of tagging practices, in American Society of Information Science & Technology Annual Conference (Austin, Texas) DOI= http://eprints.rclis.org/archive/00008315/01/KippCampbellASIST.pdf

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.1 Content Analysis and Indexing

General Terms:
Human Factors

Keywords:
identifying and expressing/capturing contextual information, indexing, metadata, other approaches to eliciting, tagging, task-based interactive IR and seeking behaviour, use-centred description