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

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Inference Engine for Space Isolates of Colon Classification for AI Based Automated Classification System


Affiliations
1 Dept of Library and Information Science, University of Calcutta, 3rd FloorAsutosh Building, 87/1 College Street, Kolkata 700 073, West Bengal, India
2 Documentation Research and Training Centre, Indian Statistical Institute, R V College P O, Bangalore 560 059, India
     

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Colon Classification designed by Dr S R Ranganathan has gained popularity due to its analytico synthetic nature. From the very beginning it has separately specified isolate numbers for Space or Geographical areas, which is one of the five fundamental categories. As the space isolates can occur in any one of the Main Classes enlisted in the schedule of basic subjects, the schedule for space isolates is mentioned as a common schedule. This research paper describes the importance of space / geographic area in classifying the thought content of any document. It also discusses the structure of the schedule of the Common Space Isolates including the political divisions and subdivisions of continents and subcontinents and the administrative divisions of the country. Indicates the possibilities of using mother country and favoured country. Mentions the procedure of developing the knowledge base for divisions and subdivisions of geographical areas. States the rules of expert systems developed using Prolog to handle the procedure of picking up numbers from other schedules and forming the special components to build compound space isolates. Applies the frame based knowledge representation technique to develop knowledge base for different groups of isolate ideas as derived in CC7 using characteristics like 'by geographical feature', 'by population cluster', 'by zone', 'by area surrounded by ocean', 'by orientation', 'by empire' etc. Illustrates the specific techniques used for different groups to follow the instruction of the schedule.

Keywords

Automatic Classification, Analytico Synthetic Classification, Colon Classification, Artificial Intelligence, Natural Language Processing, Viswamitra, Space Isolates.
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About The Authors

Pijushkanti Panigrahi
Dept of Library and Information Science, University of Calcutta, 3rd FloorAsutosh Building, 87/1 College Street, Kolkata 700 073, West Bengal
India

A. R. D. Prasad
Documentation Research and Training Centre, Indian Statistical Institute, R V College P O, Bangalore 560 059
India


Notifications

  • Charniak (E) and Mc Dermott (D). (1985). Introduction to ArtificialIntelligence. Massachusetts: Addison Wesley.

  • Clocksin (E J) and Mellish (C S) (1993). Programming in Prolog. 3rd rev ed. New Delhi : Narosa Publishing House.

  • Gopinath (M A). (1988). 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.

  • Malps (Jhon). (1987). Prolog: a relational language and its application. London: Prentice-Hall Inc.

  • Marcus (C). (1986)). Prolog programming: application of database systems, expert systems and natural language systems. Massachusetts: Addison Wesley.

  • Minsky (M). (1975). A frame for presenting knowledge. In P. H. Winston (Ed.). Psychology of Computer Vision. New York: McGraw Hill.

  • Panigrahi (P K). (1996). Design and Development of a Knowledge Representation Model for Analytico Synthetic Classification. Ph D Thesis. Medinipur: Vidyasagar University (India). (Unpublished)

  • Panigrahi (P K). Logic programming for automatic classification. Iaslic Bulletin. Vol. 48(2); 2003.

  • Ranganathan (S R). (1960). Colon Classification. 6th ed (Reprinted in 1991), (ed by M A Gopinath). Bangalore: Sarada Ranganathan Endowment for Library Science.

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

  • Colon Classification Edition 7 (1971): a preview. Library Science with a Slant to Documentation. Vol. 6(3); 1969; Paper M. 193-242.

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

  • Saint-Dizier (Patrick) (1990). An introduction to programming in PROLOG. New York : Springer Verlag,

  • Waterman (D A). (1986). A Guide to expert systems. Massachusetts: Addison – Wesley.


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  • Inference Engine for Space Isolates of Colon Classification for AI Based Automated Classification System

Abstract Views: 320  |  PDF Views: 7

Authors

Pijushkanti Panigrahi
Dept of Library and Information Science, University of Calcutta, 3rd FloorAsutosh Building, 87/1 College Street, Kolkata 700 073, West Bengal, India
A. R. D. Prasad
Documentation Research and Training Centre, Indian Statistical Institute, R V College P O, Bangalore 560 059, India

Abstract


Colon Classification designed by Dr S R Ranganathan has gained popularity due to its analytico synthetic nature. From the very beginning it has separately specified isolate numbers for Space or Geographical areas, which is one of the five fundamental categories. As the space isolates can occur in any one of the Main Classes enlisted in the schedule of basic subjects, the schedule for space isolates is mentioned as a common schedule. This research paper describes the importance of space / geographic area in classifying the thought content of any document. It also discusses the structure of the schedule of the Common Space Isolates including the political divisions and subdivisions of continents and subcontinents and the administrative divisions of the country. Indicates the possibilities of using mother country and favoured country. Mentions the procedure of developing the knowledge base for divisions and subdivisions of geographical areas. States the rules of expert systems developed using Prolog to handle the procedure of picking up numbers from other schedules and forming the special components to build compound space isolates. Applies the frame based knowledge representation technique to develop knowledge base for different groups of isolate ideas as derived in CC7 using characteristics like 'by geographical feature', 'by population cluster', 'by zone', 'by area surrounded by ocean', 'by orientation', 'by empire' etc. Illustrates the specific techniques used for different groups to follow the instruction of the schedule.

Keywords


Automatic Classification, Analytico Synthetic Classification, Colon Classification, Artificial Intelligence, Natural Language Processing, Viswamitra, Space Isolates.

References