Partial merging of semi-structured knowledgebases

    Authors

    L. Boloni;D. Turgut

    Comments

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    Keywords

    Computer Science, Artificial Intelligence; Computer Science, Information; Systems

    Abstract

    Automatizing the merging of knowledgebases is an important step towards more efficient knowledge management. The cases when two knowledgebases need to be merged completely into a monolithic result, however, are relatively rare. Most often, some of the information is irrelevant, not trusted, or needs special treatment as a belief, opinion or preference. This paper presents an approach for partial merging of semi-structured knowledgebases. The merging scheme is based on the partitioning of the knowledgebases through the use of swimlines and the application of specific primitive merging algorithms in the partitions thus created. This approach allows the participants of the merging operation to specify their intentions in the merging process in an efficient and intuitive way.

    Journal Title

    Knowledge-Based Intelligent Information and Engineering Systems, Pt 2, Proceedings

    Volume

    3214

    Publication Date

    1-1-2004

    Document Type

    Article

    Language

    English

    First Page

    1121

    Last Page

    1127

    WOS Identifier

    WOS:000224585400149

    ISSN

    0302-9743; 3-540-23206-0

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