• Login
    View Item 
    •   DSpace@RPI Home
    • Tetherless World Constellation
    • Tetherless World Publications
    • View Item
    •   DSpace@RPI Home
    • Tetherless World Constellation
    • Tetherless World Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    OWL Instance Data Evaluation

    Author
    Ding, Li; Tao, Jiao; McGuinness, Deborah
    Thumbnail
    Other Contributors
    Date Issued
    2008-04-01
    Subject
    Inference Web
    Degree
    Terms of Use
    Metadata
    Show full item record
    URI
    http://archive.tw.rpi.edu/media/latest/owled2008dc_paper_25.pdf; https://hdl.handle.net/20.500.13015/4690
    Abstract
    As more applications are depending on semantic web data from diverse sources, semantic web data evaluation is becoming more critical. While language validators and general reasoners can help, these typically focus on syntax and logical consistency. Many applications need additional support for finding possible issues (as well as provable mistakes). We are investigating methods and environments that provide computational support for identifying possible problems with instance data. We report on a line of work focusing on evaluation of provable and possible problems with OWL instance data and provide some discussion motivated by our first application setting validating large amounts of diverse explanation data.;
    Department
    Relationships
    https://tw.rpi.edu/project/InferenceWeb;
    Access
    Collections
    • Tetherless World Publications

    Browse

    All of DSpace@RPICommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    DSpace software copyright © 2002-2022  DuraSpace
    Contact Us | Send Feedback
    DSpace Express is a service operated by 
    Atmire NV