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Matching and Abstraction in Knowledge Systems.

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Bibliographic Details
Title: Matching and Abstraction in Knowledge Systems.
Language: English
Authors: Hayes-Roth, Frederick, Rand Corp., Santa Monica, CA.
Availability: Rand Corporation, 1700 Main Street, Santa Monica, CA 90406 (P-6440; $3.00 per copy).
Peer Reviewed: N
Page Count: 40
Publication Date: 1980
Document Type: Information Analyses
Speeches/Meeting Papers
Descriptors: Abstract Reasoning, Artificial Intelligence, Automation, Databases, Information Processing, Information Retrieval, Information Science, Language Processing, Pattern Recognition, Problem Solving
Abstract: This paper discusses the theoretical problem of matching and abstraction of concepts as the processes occur in human minds, and the structures used to represent these processes for use in automated, knowledge based systems. A basic premise of the paper is that hierarchies play a crucial role in structuring knowledge and in solving problems. Data representation, knowledge bases, partial matching, information retrieval, and synthesis of novel semantic interpretations are explored. Finally, key research issues are identified. (SW)
Entry Date: 1981
Accession Number: ED192797
Database: ERIC
FullText Text:
  Availability: 0
Header DbId: eric
DbLabel: ERIC
An: ED192797
AccessLevel: 3
PubType: Report
PubTypeId: report
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Matching and Abstraction in Knowledge Systems.
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Hayes-Roth%2C+Frederick%22">Hayes-Roth, Frederick</searchLink><br /><searchLink fieldCode="AR" term="%22Rand+Corp%2E%2C+Santa+Monica%2C+CA%2E%22">Rand Corp., Santa Monica, CA.</searchLink>
– Name: Avail
  Label: Availability
  Group: Avail
  Data: Rand Corporation, 1700 Main Street, Santa Monica, CA 90406 (P-6440; $3.00 per copy).
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: N
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 40
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 1980
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Information Analyses<br />Speeches/Meeting Papers
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Abstract+Reasoning%22">Abstract Reasoning</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Automation%22">Automation</searchLink><br /><searchLink fieldCode="DE" term="%22Databases%22">Databases</searchLink><br /><searchLink fieldCode="DE" term="%22Information+Processing%22">Information Processing</searchLink><br /><searchLink fieldCode="DE" term="%22Information+Retrieval%22">Information Retrieval</searchLink><br /><searchLink fieldCode="DE" term="%22Information+Science%22">Information Science</searchLink><br /><searchLink fieldCode="DE" term="%22Language+Processing%22">Language Processing</searchLink><br /><searchLink fieldCode="DE" term="%22Pattern+Recognition%22">Pattern Recognition</searchLink><br /><searchLink fieldCode="DE" term="%22Problem+Solving%22">Problem Solving</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper discusses the theoretical problem of matching and abstraction of concepts as the processes occur in human minds, and the structures used to represent these processes for use in automated, knowledge based systems. A basic premise of the paper is that hierarchies play a crucial role in structuring knowledge and in solving problems. Data representation, knowledge bases, partial matching, information retrieval, and synthesis of novel semantic interpretations are explored. Finally, key research issues are identified. (SW)
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 1981
– Name: AN
  Label: Accession Number
  Group: ID
  Data: ED192797
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED192797
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 40
    Subjects:
      – SubjectFull: Abstract Reasoning
        Type: general
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Automation
        Type: general
      – SubjectFull: Databases
        Type: general
      – SubjectFull: Information Processing
        Type: general
      – SubjectFull: Information Retrieval
        Type: general
      – SubjectFull: Information Science
        Type: general
      – SubjectFull: Language Processing
        Type: general
      – SubjectFull: Pattern Recognition
        Type: general
      – SubjectFull: Problem Solving
        Type: general
    Titles:
      – TitleFull: Matching and Abstraction in Knowledge Systems.
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: Rand Corp., Santa Monica, CA.
      – PersonEntity:
          Name:
            NameFull: Hayes-Roth, Frederick
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 1980
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