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Probabilistic Datalog: Implementing Logical Information Retrieval for Advanced Applications.

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Bibliographic Details
Title: Probabilistic Datalog: Implementing Logical Information Retrieval for Advanced Applications.
Authors: Fuhr, Norbert
Source: Journal of the American Society for Information Science. Jan2000, Vol. 51 Issue 2, p95-110. 16p.
Subjects: Horn clauses, Information retrieval
Abstract: Presents probabilistic version of Datalog (function-free Horn clause predicate logic) and its use for information retrieval. Advantages of probabilistic Datalog (pD) to information retrieval; Difference between pD and Datalog; Comparison between pD approach and other interpretations of probabilistic rules.
Database: Engineering Source
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PubType: Academic Journal
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  Data: Presents probabilistic version of Datalog (function-free Horn clause predicate logic) and its use for information retrieval. Advantages of probabilistic Datalog (pD) to information retrieval; Difference between pD and Datalog; Comparison between pD approach and other interpretations of probabilistic rules.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=2748434
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      – Type: doi
        Value: 10.1002/(SICI)1097-4571(2000)51:2<95::AID-ASI2>3.0.CO;2-H
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 95
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      – SubjectFull: Horn clauses
        Type: general
      – SubjectFull: Information retrieval
        Type: general
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              Text: Jan2000
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              Y: 2000
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