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ArCo: The Italian Cultural Heritage Knowledge Graph

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11779))

Abstract

ArCo is the Italian Cultural Heritage knowledge graph, consisting of a network of seven vocabularies and 169 million triples about 820 thousand cultural entities. It is distributed jointly with a SPARQL endpoint, a software for converting catalogue records to RDF, and a rich suite of documentation material (testing, evaluation, how-to, examples, etc.). ArCo is based on the official General Catalogue of the Italian Ministry of Cultural Heritage and Activities (MiBAC) - and its associated encoding regulations - which collects and validates the catalogue records of (ideally) all Italian Cultural Heritage properties (excluding libraries and archives), contributed by CH administrators from all over Italy. We present its structure, design methods and tools, its growing community, and delineate its importance, quality, and impact.

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Notes

  1. 1.

    42 additional sites are currently under review.

  2. 2.

    There is no consensus on a definition for knowledge graph [7], in this context we refer to linked open data including both OWL and RDF entities, and both schema axioms and factual data.

  3. 3.

    Cf. the diagram on Github.

  4. 4.

    For the most common values we provide a controlled vocabulary.

  5. 5.

    A thorough description of this new ODP is beyond the scope of this paper. It will be described in a dedicated publication, and shared on the ODP portal.

  6. 6.

    Moreover, ArCo has been formally included among the datasets of “national interest” in the context of the 3-year plan for Public Administration digitalisation.

  7. 7.

    OntoPia is a de facto standard for open data of the Italian Public Administration.

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Correspondence to Valentina Anita Carriero .

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Carriero, V.A. et al. (2019). ArCo: The Italian Cultural Heritage Knowledge Graph. In: Ghidini, C., et al. The Semantic Web – ISWC 2019. ISWC 2019. Lecture Notes in Computer Science(), vol 11779. Springer, Cham. https://doi.org/10.1007/978-3-030-30796-7_3

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  • DOI: https://doi.org/10.1007/978-3-030-30796-7_3

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