Abstract
The present study investigates the ability of a bibliometric based semi-automatic method to select candidate thesaurus terms from citation contexts. The method consists of document co-citation analysis, citation context analysis, and noun phrase parsing. The investigation is carried out within the specialty area of periodontology. The results clearly demonstrate that the method is able to select important candidate thesaurus terms within the chosen specialty area.
The present paper is sponsored by NORSLIS (Nordic Research School in Library and Information Science).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Soergel, D.: Indexing languages and thesauri: construction and maintenance. Melville, Los Angeles (1974)
Aitchison, J., Gilchrist, A., Bawden, D.: Thesaurus construction and use: A practical manual, 4th edn. Aslib, London (2000)
Blair, D.C., Kimbrough, S.O.: Exemplary documents: foundation for information retrieval design. Information Processing and Management 38, 363–379 (2002)
Salton, G., McGill, M.: Introduction to modern information retrieval. MaGraw-Hill, New York (1983)
Schneider, J.W.: Verification of bibliometric methods’ applicability for thesaurus construction. PhD dissertation. Royal School of Library and Information Science, Aalborg (2004), Available http://biblis.db.dk/uhtbin/hyperion.exe/db.jessch04
Moens, M.F.: Automatic indexing and abstracting of document texts. Kluwer Academic Publishers, Dordrecht (2000)
Katz, S.: Distribution of content words and phrases in text and language modelling. Natural Language Engineering 2(1), 15–60 (1996)
Bookstein, A., Klein, S.T., Raita, T.: Clumping properties of content-bearing words. Journal of the American Society for Information Science and Technology 49(2), 102–114 (1998)
Small, H.: Cited documents as concept symbols. Social Studies of Science 8(3), 327–340 (1978)
Garfield, E.: The citation index as a subject index. Current Contents May(18), 5–7 (1974)
Rees-Potter, L.K.: Dynamic thesaural systems: a Bibliometric study of terminological and conceptual change in sociology and economics with the application to the design of dynamic thesaural systems. Information Processing and Management 25(6), 677–691 (1989)
Anick, P.G., Vaithyanathan, S.: Exploiting clustering and phrases for context-based information retrieval. In: Proceedings of the ACM/SIGIR Conference on Research and Development in Information Retrieval, Philidelhia, PA, pp. 314–323 (1997)
Schneider, J.W., Borlund, P.: Introduction to bibliometrics for construction and maintenance of thesauri: methodical considerations. Journal of Documentation 60(5), 524–549 (2004)
Persson, O.: The intellectual base and research front of JASIS 1986-1990. Journal of the American Society for Information Science 45(1), 31–38 (1994)
Small, H.: Co-citation in the scientific literature: a new measure of the relationship between two documents. Journal of the American Society for Information Science 24(4), 265–269 (1973)
Sneath, P., Sokal, R.: Numerical taxonomy: The principles and practice of numerical classification. W.H. Freeman, San Francisco (1973)
Sparck Jones, K.: Automatic keyword classification for information retrieval. Butterworths, London (1971)
Small, H., Greenlee, E.: Citation context analysis of a co-citation cluster: Recombinant DNA. Scientometrics 2(4), 277–301 (1980)
Small, H.: The synthesis of specialty narratives from co-citation clusters. Journal of the American Society for Information Science 37(3), 97–110 (1986)
Braam, R.R., Moed, H., van Raan, A.F.J.: Mapping of Science by combined Co-Citation and Word Analysis. I. Structural aspects. Journal of the American Society for Information Science 42(4), 233–251 (1991)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Schneider, J.W., Borlund, P. (2005). A Bibliometric-Based Semi-automatic Approach to Identification of Candidate Thesaurus Terms: Parsing and Filtering of Noun Phrases from Citation Contexts. In: Crestani, F., Ruthven, I. (eds) Context: Nature, Impact, and Role. CoLIS 2005. Lecture Notes in Computer Science, vol 3507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11495222_18
Download citation
DOI: https://doi.org/10.1007/11495222_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26178-0
Online ISBN: 978-3-540-32101-9
eBook Packages: Computer ScienceComputer Science (R0)