Interactive classification: A technique for acquiring and maintaining knowledge bases

Finin, T W

doi:10.1109/PROC.1986.13642

Title: Interactive classification: A technique for acquiring and maintaining knowledge bases

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Abstract

The practical application of knowledge-based systems, such as in expert systems, often requires the maintenance of large amounts of declarative knowledge. As a knowledge base (KB) grows in size and complexity, it becomes more difficult to maintain and extend. Even someone who is familiar with the knowledge domain, how it is represented in the KB, and the actual contents of the current KB may have severe difficulties in updating it. Even if the difficulties can be tolerated, there is a very real danger that inconsistencies and errors may be introduced into the KB through the modification. This paper describes an approach to this problem based on a tool called an interactive classifier. An interactive classifier uses the contents of the existing KB and knowledge about its representation to help the maintainer describe new KB objects. The interactive classifier will identify the appropriate taxonomic location for the newly described object and add it to the KB. The new object is allowed to be a generalization of existing KB objects, enabling the system to learn more about existing objects.

Authors:: Finin, T W

Publication Date:: Wed Oct 01 00:00:00 EDT 1986

Research Org.:: Dept. of Information Science, Univ. of Pennsylvania, Philadelphia, PA 19104-6389

OSTI Identifier:: 6905460

Resource Type:: Journal Article

Journal Name:: Proc. IEEE; (United States)

Additional Journal Information:: Journal Volume: 74:10

Country of Publication:: United States

Language:: English

Subject:: 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; KNOWLEDGE BASE; MAINTENANCE; ARTIFICIAL INTELLIGENCE; CLASSIFICATION; DATA COVARIANCES; ERRORS; EXPERT SYSTEMS; 990210* - Supercomputers- (1987-1989)

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                    Finin, T W. Interactive classification: A technique for acquiring and maintaining knowledge bases.  United States: N. p., 1986. 
        Web.  doi:10.1109/PROC.1986.13642.

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                    Finin, T W. Interactive classification: A technique for acquiring and maintaining knowledge bases.  United States.  https://doi.org/10.1109/PROC.1986.13642

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                    Finin, T W. 1986.  
        "Interactive classification: A technique for acquiring and maintaining knowledge bases".  United States.  https://doi.org/10.1109/PROC.1986.13642.

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@article{osti_6905460,

  title        = {Interactive classification: A technique for acquiring and maintaining knowledge bases},

  author       = {Finin, T W},

  abstractNote = {The practical application of knowledge-based systems, such as in expert systems, often requires the maintenance of large amounts of declarative knowledge. As a knowledge base (KB) grows in size and complexity, it becomes more difficult to maintain and extend. Even someone who is familiar with the knowledge domain, how it is represented in the KB, and the actual contents of the current KB may have severe difficulties in updating it. Even if the difficulties can be tolerated, there is a very real danger that inconsistencies and errors may be introduced into the KB through the modification. This paper describes an approach to this problem based on a tool called an interactive classifier. An interactive classifier uses the contents of the existing KB and knowledge about its representation to help the maintainer describe new KB objects. The interactive classifier will identify the appropriate taxonomic location for the newly described object and add it to the KB. The new object is allowed to be a generalization of existing KB objects, enabling the system to learn more about existing objects.},

  doi          = {10.1109/PROC.1986.13642},

  url          = {https://www.osti.gov/biblio/6905460},
  journal      = {Proc. IEEE; (United States)},
number       = ,

  volume       = 74:10,

  place        = {United States},

  year         = {Wed Oct 01 00:00:00 EDT 1986},

  month        = {Wed Oct 01 00:00:00 EDT 1986}

}

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