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