Reflections on Provenance Ontology Encodings View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2010

AUTHORS

Li Ding , Jie Bao , James R. Michaelis , Jun Zhao , Deborah L. McGuinness

ABSTRACT

As more data (especially scientific data) is digitized and put on the Web, it is desirable to make provenance metadata easy to access, reuse, integrate and reason over. Ontologies can be used to encode expectations and agreements concerning provenance metadata representation and computation. This paper analyzes a selection of popular Semantic Web provenance ontologies such as the Open Provenance Model (OPM), Dublin Core (DC) and the Proof Markup Language (PML). Selected initial findings are reported in this paper: (i) concept coverage analysis – we analyze the coverage, similarities and differences among primitive concepts from different provenance ontologies, based on identified themes; and (ii) concept modeling analysis – we analyze how Semantic Web language features were used to support computational provenance semantics. We expect the outcome of this work to provide guidance for understanding, aligning and evolving existing provenance ontologies. More... »

PAGES

198-205

References to SciGraph publications

  • 2006. Characterizing the Semantic Web on the Web in THE SEMANTIC WEB - ISWC 2006
  • 2010. Publishing and Consuming Provenance Metadata on the Web of Linked Data in PROVENANCE AND ANNOTATION OF DATA AND PROCESSES
  • 2005-05. Relations in biomedical ontologies in GENOME BIOLOGY
  • 2004. Using Semantic Web Technologies for Representing E-science Provenance in THE SEMANTIC WEB – ISWC 2004
  • Book

    TITLE

    Provenance and Annotation of Data and Processes

    ISBN

    978-3-642-17818-4
    978-3-642-17819-1

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-17819-1_22

    DOI

    http://dx.doi.org/10.1007/978-3-642-17819-1_22

    DIMENSIONS

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