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A Representational Analysis of the API4KP Metamodel

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Formal Ontologies Meet Industry (FOMI 2015)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 225))

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Abstract

The API for Knowledge Platforms (API4KP) provides a common abstraction interface for discovery, exploration of metadata and querying of different types of knowledge bases. It targets the basic administration services as well as the retrieval and the modification of expressions in machine-readable knowledge representation and reasoning (KRR) languages, such as RDF(S), OWL, RuleML and Common Logic, within heterogeneous and possibly distributed (multi-language, multi-nature) knowledge platforms. This paper introduces typical use cases for API4KP and, based on their ontological requirements, analyses the representational completeness and clarity of its ontological metamodel.

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References

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Author information

Authors and Affiliations

  1. AG Corporate Semantic Web, Freie Universitaet Berlin, Berlin, Germany

    Adrian Paschke

  2. Athan Services (athant.com), West Lafayette, IN, USA

    Tara Athan

  3. Department of Biomedical Informatics, Arizona State University, Tempe, USA

    Davide Sottara

  4. Thematix Partners LLC, New York, NY, USA

    Elisa Kendall

  5. Raytheon, Fort Wayne, IN, USA

    Roy Bell

Authors
  1. Adrian Paschke
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  2. Tara Athan
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  3. Davide Sottara
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  4. Elisa Kendall
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  5. Roy Bell
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Corresponding author

Correspondence to Adrian Paschke .

Editor information

Editors and Affiliations

  1. Department of Management and Computer Science (DISA), University of Trento, Trento, Italy

    Roberta Cuel

  2. Loughborough University, Loughborough, United Kingdom

    Robert Young

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Paschke, A., Athan, T., Sottara, D., Kendall, E., Bell, R. (2015). A Representational Analysis of the API4KP Metamodel. In: Cuel, R., Young, R. (eds) Formal Ontologies Meet Industry. FOMI 2015. Lecture Notes in Business Information Processing, vol 225. Springer, Cham. https://doi.org/10.1007/978-3-319-21545-7_1

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  • DOI: https://doi.org/10.1007/978-3-319-21545-7_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21544-0

  • Online ISBN: 978-3-319-21545-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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