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FACET ANALYSIS TECHNIQUES FOR AUTOMATIC CLASSIFICATION SYSTEMS: A STUDY FOR COLON CLASSIFICATION.

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Title: FACET ANALYSIS TECHNIQUES FOR AUTOMATIC CLASSIFICATION SYSTEMS: A STUDY FOR COLON CLASSIFICATION.
Authors: Panigrahi, Pijushkanti1 panigrahipk@yahoo.com
Source: SRELS Journal of Information Management. Dec2007, Vol. 44 Issue 4, p309-332. 24p.
Subjects: Faceted classification, Colon classification, Automatic classification, Artificial intelligence, Natural language processing, Expert systems, Classification of books, Medicine
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. [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: 31880919
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: FACET ANALYSIS TECHNIQUES FOR AUTOMATIC CLASSIFICATION SYSTEMS: A STUDY FOR COLON CLASSIFICATION.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Panigrahi%2C+Pijushkanti%22">Panigrahi, Pijushkanti</searchLink><relatesTo>1</relatesTo><i> panigrahipk@yahoo.com</i>
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  Label: Source
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  Data: <searchLink fieldCode="JN" term="%22SRELS+Journal+of+Information+Management%22">SRELS Journal of Information Management</searchLink>. Dec2007, Vol. 44 Issue 4, p309-332. 24p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Faceted+classification%22">Faceted classification</searchLink><br /><searchLink fieldCode="DE" term="%22Colon+classification%22">Colon classification</searchLink><br /><searchLink fieldCode="DE" term="%22Automatic+classification%22">Automatic classification</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="%22Expert+systems%22">Expert systems</searchLink><br /><searchLink fieldCode="DE" term="%22Classification+of+books%22">Classification of books</searchLink><br /><searchLink fieldCode="DE" term="%22Medicine%22">Medicine</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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. [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:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 24
        StartPage: 309
    Subjects:
      – SubjectFull: Faceted classification
        Type: general
      – SubjectFull: Colon classification
        Type: general
      – SubjectFull: Automatic classification
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Natural language processing
        Type: general
      – SubjectFull: Expert systems
        Type: general
      – SubjectFull: Classification of books
        Type: general
      – SubjectFull: Medicine
        Type: general
    Titles:
      – TitleFull: FACET ANALYSIS TECHNIQUES FOR AUTOMATIC CLASSIFICATION SYSTEMS: A STUDY FOR COLON CLASSIFICATION.
        Type: main
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            NameFull: Panigrahi, Pijushkanti
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          Dates:
            – D: 01
              M: 12
              Text: Dec2007
              Type: published
              Y: 2007
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              Value: 44
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            – TitleFull: SRELS Journal of Information Management
              Type: main
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