Journal of Information and Knowledge (Formerly SRELS Journal of Information Management)

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Facet Analysis Techniques for Automatic Classification Systems:A Study for Colon Classification


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1 Department of Library and Information Science, University of Calcutta, 87/1 College Street, Kolkata 700 073, West Bengal, India
     

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The method of identification of facets from the title of documents is discussed in this paper. States the technique of selecting respective category name of facets to follow the facet formula in general. Also includes the scope of defining the specific facet formula for any specific subject. Illustrates steps followed in analyzing titles (i.e. in the form of natural language sentence) of documents for finding out noun phrases and picking up isolate numbers, symbols, basic subjects from the frame based knowledge base designed for this purpose. Emphasizes on integration of expert system and natural language processing components to proceed towards a successful automatic classification system.

Keywords

Analytico Synthetic Classification, Colon Classification, Automatic Classification, Artificial Intelligence, Natural Language Processing, Facet Analysis.
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About The Author

Pijushkanti Panigrahi
Department of Library and Information Science, University of Calcutta, 87/1 College Street, Kolkata 700 073, West Bengal
India


Notifications

  • Panigrahi (Pijishkanti). Design and Development of a Knowledge Representation Model for Analytico Synthetic Classification. Ph D Thesis. Vidyasagar University, 1996, Medinipur (West Bengal, India). (Unpublished)

  • Ranganathan (S R). Prolegomena to Library Classification. 3rd ed. (Reprinted in 1989). Bangalore, 1967, Sarada Ranganathan Endowment for Library Science.

  • Colon Classification. 7th ed (Reprint), (ed by M A Gopinath). Bangalore, 1989, Sarada Ranganathan Endowment for Library Science, p14-17

  • Panigrahi (Pijushkanti). Knowledge Representation Models. Proceedings of the Retraining of University and College Teachers under the U G C Sponsored University with potential for Excellence Scheme on Knowledge Management Organized by the Department of Library and Information Science, Jadavpur University, Kolkata during January 12-13, 2006.

  • Logic Programming for Automatic Classification. IASLIC Bulletin. Vol. 48(2); June 2003; p83-98.

  • Developing an Intelligent System for Library Works and Services using Declarative Language: a Case Study of Library Classification. CLIS Observe. Vol. 20(3&4); July 2003; p57-71.

  • An Artificial Intelligence approach towards Automatic Classification (Part 1). IASLIC Bulletin. Vol. 45(2); June 2000; p73-81.

  • An Artificial Intelligence approach towards Automatic Classification (Part 2). IASLIC Bulletin. Vol. 45(3); September 2000; p105-118.

  • Prasad (A R D); Panigrahi (Pijushkanti). An inference engine for time isolates of colon classification schedule. International Study Conference on Classification Research, 6h, London. FID/CR and University College London, June 16-18, 1997, London.

  • A Knowledge Representation Model for Time Isolates of Colon Classification (7th Edition). SRELS Journal of Information Management. Vol. 42(3); September 2005; p221-244.

  • Panigrahi (Pijushkanti); Prasad (A R D). Inference Engine for Space Isolates of Colon Classification for AI Based Automated Classification System. SRELS Journal of Information Management. Vol. 42(4); December 2005; p383-408.

  • Inference Engine for Devices of Colon Classification in AI Based Automated Classification System. Annals of Library and Information Studies. Vol. 52(4); December 2005; p124-134.

  • Basu, Asok. NLP based Automatic Classification System for Analytico Synthetic Scheme. SRELS Journal of Information Management. Vol. 40(4); December 2003; p289-312.

  • Ranganathan (S R). Colon classification edition 7(1971): a preview. Library Science with a slant to Documentation. Vol. 6(3); 1969.

  • Gopinath (M A). Colon classification, edition 7: theory and practice. In Seventeenth DRTC Refresher Seminar, Oct 26-28, 1988. Documentation Research and Training Centre and Sarada Ranganathan Endowment for Library Science, Bangalore, Documentation Research and Training Centre: Bangalore, 1988.


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  • Facet Analysis Techniques for Automatic Classification Systems:A Study for Colon Classification

Abstract Views: 368  |  PDF Views: 13

Authors

Pijushkanti Panigrahi
Department of Library and Information Science, University of Calcutta, 87/1 College Street, Kolkata 700 073, West Bengal, India

Abstract


The method of identification of facets from the title of documents is discussed in this paper. States the technique of selecting respective category name of facets to follow the facet formula in general. Also includes the scope of defining the specific facet formula for any specific subject. Illustrates steps followed in analyzing titles (i.e. in the form of natural language sentence) of documents for finding out noun phrases and picking up isolate numbers, symbols, basic subjects from the frame based knowledge base designed for this purpose. Emphasizes on integration of expert system and natural language processing components to proceed towards a successful automatic classification system.

Keywords


Analytico Synthetic Classification, Colon Classification, Automatic Classification, Artificial Intelligence, Natural Language Processing, Facet Analysis.

References