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International Workshop on Information Search, Integration, and Personalization

ISIP 2019: Information Search, Integration, and Personalization pp 37–52Cite as

Analytics over RDF Graphs

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1197))

Abstract

The continuous accumulation of multi-dimensional data and the development of Semantic Web and Linked Data published in RDF bring new requirements for data analytics tools. Such tools should take into account the special features of RDF graphs, exploit the semantics of RDF and support flexible aggregate queries. In this paper, we present an approach for applying analytics to RDF data, based on a high-level functional query language called HIFUN. According to that language, each analytical query is considered as a well-formed expression of a functional algebra and its definition is independent of the nature and structure of the data. In this work, we detail the required transformations, as well as the translation of HIFUN queries to SPARQL and we introduce the primary implementation of a tool, developed for these purposes.

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Notes

  1. 1.

    http://lod-cloud.net/.

  2. 2.

    https://www.w3.org/RDF/.

  3. 3.

    https://www.w3.org/TR/rdf-sparql-query/.

  4. 4.

    https://www.wikidata.org.

  5. 5.

    https://www.w3.org/TR/vocab-data-cube/.

  6. 6.

    https://team.inria.fr/oak/projects/warg/.

  7. 7.

    https://virtuoso.openlinksw.com/.

  8. 8.

    http://www.ics.forth.gr/isl/3DLod/.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, FORTH, Heraklion, Greece

    Maria-Evangelia Papadaki & Yannis Tzitzikas

  2. Computer Science Department, University of Crete, Heraklion, Greece

    Maria-Evangelia Papadaki & Yannis Tzitzikas

  3. Laboratoire de Recherche en Informatique, Université de Paris-Sud, Orsay, France

    Nicolas Spyratos

Authors
  1. Maria-Evangelia Papadaki
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  2. Yannis Tzitzikas
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  3. Nicolas Spyratos
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Corresponding author

Correspondence to Maria-Evangelia Papadaki .

Editor information

Editors and Affiliations

  1. Foundation for Research and Technology Hellas, Heraklion, Greece

    Giorgos Flouris

  2. University of Cergy-Pontoise, Cergy Pontoise, France

    Dominique Laurent

  3. Foundation for Research and Technology Hellas, Heraklion, Greece

    Dimitris Plexousakis

  4. University of Paris-Sud, Orsay, France

    Nicolas Spyratos

  5. Hokkaido University, Sapporo, Japan

    Yuzuru Tanaka

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Papadaki, ME., Tzitzikas, Y., Spyratos, N. (2020). Analytics over RDF Graphs. In: Flouris, G., Laurent, D., Plexousakis, D., Spyratos, N., Tanaka, Y. (eds) Information Search, Integration, and Personalization. ISIP 2019. Communications in Computer and Information Science, vol 1197. Springer, Cham. https://doi.org/10.1007/978-3-030-44900-1_3

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  • DOI: https://doi.org/10.1007/978-3-030-44900-1_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-44899-8

  • Online ISBN: 978-3-030-44900-1

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