Linked Data Ontologies

Linked Data Ontology is a type of ontology that formalizes structured knowledge for the Web by leveraging standardized, interlinked data principles—specifically, the use of URIs, HTTP, RDF, and explicit semantic relationships—to enable machine-readable, globally accessible, and interoperable representation of entities and their connections.

234

Publications

9.6K

Citations

728

Authors

303

Institutions

Publications per year

2017–2026

75

Authors

728

  1. KJ
    Krzysztof Janowicz

    University of California, Santa Barbara, United States

    8 publications · 255 citations

    8

    h-index

  2. SP
    Silvio Peroni

    University of Bologna, Italy

    6 publications · 230 citations

    6

    h-index

  3. VP
    Valentina Presutti

    University of Bologna, Italy

    5 publications · 140 citations

    6

    h-index

  4. TF
    Tim Finin

    University of Maryland, Baltimore County, United States

    6 publications · 378 citations

    6

    h-index

  5. SA
    Sören Auer

    University of Bonn, Germany

    6 publications · 477 citations

    6

    h-index

1–5 of 728

Venues

  1. Semantic Web

    10 publications · 245 citations

    10

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  2. 4

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  3. Automation in Construction

    3 publications · 183 citations

    3

    h-index

  4. Knowledge-Based Systems

    3 publications · 68 citations

    3

    h-index

  5. 3

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1–5