A representational analysis of the API4KP metamodel

Adrian Paschke, Tara Athan, Davide Sottara, Elisa Kendall, Roy Bell

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Scopus citations


    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, multinature) 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.

    Original languageEnglish (US)
    Title of host publicationFormal Ontologies Meet Industry - 7th International Workshop, FOMI 2015, Proceedings
    EditorsRoberta Cuel, Robert Young
    PublisherSpringer Verlag
    Number of pages12
    ISBN (Print)9783319215440
    StatePublished - 2015
    Event7th International Workshop on Formal Ontologies Meet Industry, FOMI 2015 - Berlin, Germany
    Duration: Aug 5 2015Aug 5 2015

    Publication series

    NameLecture Notes in Business Information Processing
    ISSN (Print)1865-1348


    Other7th International Workshop on Formal Ontologies Meet Industry, FOMI 2015

    ASJC Scopus subject areas

    • Management Information Systems
    • Control and Systems Engineering
    • Business and International Management
    • Information Systems
    • Modeling and Simulation
    • Information Systems and Management


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