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Core requirements for automation of analytico-synthetic classifications

Slavic, Aida and Cordeiro, Maria Ines (2004) Core requirements for automation of analytico-synthetic classifications. In McIlwaine, I.C., Eds. Proceedings International Society for Knowledge Organization Conference, pages pp. 187-192, London, England.

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Abstract

Abstract: The paper analyses the importance of data presentation and modelling and its role in improving the management, use and exchange of analytico-synthetic classifications in automated systems. Inefficiencies, in this respect, hinder the automation of classification systems that offer the possibility of building compound index/search terms. The lack of machine readable data expressing the semantics and structure of a classification vocabulary has negative effects on information management and retrieval, thus restricting the potential of both automated systems and classifications themselves. The authors analysed the data representation structure of three general analytico-synthetic classification systems (BC2-Bliss Bibliographic Classification; BSO-Broad System of Ordering; UDC-Universal Decimal Classification) and put forward some core requirements for classification data representation.

EPrint Type:Conference Paper
Keywords:classification, analytico-synthetic classification, automation, Bliss Bibliographic Classification, BC2, Broad System of Ordering, BSO, Universal Decimal Classification, UDC
Subjects:Classification
ID Code:651
Deposited On:09 December 2004
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Buxton, A. B. (1990). Computer searching of UDC numbers. Journal of Documentation, 46(3): 193-217.

Coates, E. & Lloyd, G. & Simandl, D. (1979). The BSO manual: the development, rationale and use of the Broad System of Ordering. The Hague: FID.

Concise UNIMARC Format for Classification Data. (2000).

[http://www.ifla.org/VI/3/p1996-1/concise.htm]. Accessed 02/27/2004.

Cordeiro, M. I. & Slavic, A. (2002). Data models for knowledge organization tools: evolution and perspectives. In Challenges in knowledge representation and organization for the 21st century: integration of knowledge across boundaries: proceedings of the Seventh International ISKO Conference, 10-13 July 2002, Granada, Spain. Eds. María J. López-Huertas, Francisco J. Muñoz-Fernández. Würzburg: Ergon Verlag. Pp. 127-134. [also available at http://www.ucl.ac.uk/fatks/paper1.htm]. Accessed 02/27/2004.

Devadason, F.J., & Intaraksa, N., & Patamawongjariya, P. (2002) Faceted indexing based system for organizing and accessing internet resources. Knowledge Organization, 29(2): 65-77.

Ellis, D., & Vasconcelos, A. (2000). The relevance of facet analysis for World Wide Web subject organization and searching. In Internet searching and indexing: the subject approach. Eds. A. R. Thomas , J. R. Shearer. New York etc: The Haworth Information Press. Pp. 97-114.

Goedert, W. (1991). Facet classification in online retrieval. International Classification, 18(2): 98-105.

Gopinath, M. A., & Prasad, A. R. D. (1994). A knowledge representation model for analytico-synthetic classification. In Knowledge organization and quality management: proceedings of the Third International ISKO Conference, 20-24 June 1994, Copenhangen, Denmark. Eds. Hanne Albrechtsen and Susanne Oernager. Frankfurt/Main: Index Verlag. Pp. 320-327.

Liu, S. (1990). Online classification notation: proposal for a flexible faceted notation system. International Classification, 17(1): 14-20.

Liu, S. (1996). Decomposing DDC synthesized numbers. In 62nd IFLA General Conference Bejing, China: conference proceedings, August 25-31, 1996. [http://ifla.org/IV/ifla62/62-sonl.htm]. Accessed 02/27/2004.

Madalli, D. P., & Prasad, A. R. D. (2002). VYASA: a knowledge representation system for automatic maintenance of analytico-synthetic scheme. In Challenges in knowledge representation and organization for the 21st century: integration of knowledge across boundaries: proceedings of the Seventh International ISKO Conference, 10-13 July 2002, Granada, Spain. Eds. María J. López-Huertas, Francisco J. Muñoz-Fernández. Würzburg: Ergon Verlag. Pp. 113-119.

Mills, J., & Broughton, V. (1977). Bliss Bibliographic Classification: introduction and auxiliary schedules. 2nd ed. London etc.: Butterworths.

Pollitt, S. A., & Tinker, A. J. (2000). Enhanced view-based searching through the decomposition of Dewey Decimal Classification Codes. In Dynamism and stability of knowledge organization: proceedings of the Sixth International ISKO Conference, 10-13 July 2000, Toronto, Canada, edited by Clare Beghtol, Lynne C. Howarth, Nancy J. Williamson. Wuerzburg: ErgonVerlag. Pp. 288-294.

Riesthuis, G. J. A. (1997). Decomposition of complex UDC notation. In Knowledge organization for information retrieval: proceedings of the Sixth International Study Conference on Classification Research, London, 16-18 June 1997. The Hague: FID. Pp 139-143.

Vickery, B. (1952-1959). Notational symbols in classification: parts I-VI. Journal of Documentation, 8(1) 1952:14-31; 12(2) 1956:73-87; 13(2) 1957: 72-77; 14(1) 1958: 1-11; 15 (1)1959: 12-16.

Wajenberg, A. S. (1983). " MARC coding of DDC for subject retrieval", Information technology and Libraries September: 247-251.

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