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INFERENCE ENGINE FOR SPAC,E ISOLATES OF COLON CLASSIFICATION FOR Al BASED AUTOMATED CLASSIFICATION SYSTEM.

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Title: INFERENCE ENGINE FOR SPAC,E ISOLATES OF COLON CLASSIFICATION FOR Al BASED AUTOMATED CLASSIFICATION SYSTEM.
Authors: Panigrahi, Pijushkanti1 panigrahipk@yahoo.com, Prasad, A. R. D.2 ardp@isibang.ac.in
Source: SRELS Journal of Information Management. Dec2005, Vol. 42 Issue 4, p383-406. 24p.
Subjects: Colon classification, Faceted classification, Classification, Automation, Artificial intelligence, Natural language processing, Knowledge management, Inference (Logic), Theory of knowledge
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. [ABSTRACT FROM AUTHOR]
Copyright of SRELS Journal of Information Management is the property of Informatics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 20788500
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: INFERENCE ENGINE FOR SPAC,E ISOLATES OF COLON CLASSIFICATION FOR Al BASED AUTOMATED CLASSIFICATION SYSTEM.
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  Data: <searchLink fieldCode="AR" term="%22Panigrahi%2C+Pijushkanti%22">Panigrahi, Pijushkanti</searchLink><relatesTo>1</relatesTo><i> panigrahipk@yahoo.com</i><br /><searchLink fieldCode="AR" term="%22Prasad%2C+A%2E+R%2E+D%2E%22">Prasad, A. R. D.</searchLink><relatesTo>2</relatesTo><i> ardp@isibang.ac.in</i>
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  Data: <searchLink fieldCode="JN" term="%22SRELS+Journal+of+Information+Management%22">SRELS Journal of Information Management</searchLink>. Dec2005, Vol. 42 Issue 4, p383-406. 24p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Colon+classification%22">Colon classification</searchLink><br /><searchLink fieldCode="DE" term="%22Faceted+classification%22">Faceted classification</searchLink><br /><searchLink fieldCode="DE" term="%22Classification%22">Classification</searchLink><br /><searchLink fieldCode="DE" term="%22Automation%22">Automation</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+language+processing%22">Natural language processing</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+management%22">Knowledge management</searchLink><br /><searchLink fieldCode="DE" term="%22Inference+%28Logic%29%22">Inference (Logic)</searchLink><br /><searchLink fieldCode="DE" term="%22Theory+of+knowledge%22">Theory of knowledge</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of SRELS Journal of Information Management is the property of Informatics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 24
        StartPage: 383
    Subjects:
      – SubjectFull: Colon classification
        Type: general
      – SubjectFull: Faceted classification
        Type: general
      – SubjectFull: Classification
        Type: general
      – SubjectFull: Automation
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Natural language processing
        Type: general
      – SubjectFull: Knowledge management
        Type: general
      – SubjectFull: Inference (Logic)
        Type: general
      – SubjectFull: Theory of knowledge
        Type: general
    Titles:
      – TitleFull: INFERENCE ENGINE FOR SPAC,E ISOLATES OF COLON CLASSIFICATION FOR Al BASED AUTOMATED CLASSIFICATION SYSTEM.
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            NameFull: Panigrahi, Pijushkanti
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            NameFull: Prasad, A. R. D.
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            – D: 01
              M: 12
              Text: Dec2005
              Type: published
              Y: 2005
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              Value: 42
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            – TitleFull: SRELS Journal of Information Management
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