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Re-constructing Hidden Semantic Data Models by Querying SPARQL Endpoints

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Book cover Database and Expert Systems Applications (DEXA 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9827))

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Abstract

Linked Open Data community is constantly producing new repositories that store information from different domains. The data included in these repositories follow the rules proposed by the W3C community, based on standards such as Resource Description Framework (RDF) and the SPARQL query language. The main advantage of this approach is the possibility of external developers accessing the data from their applications. This advantage is also one of the main challenges of this new technology due to the cost of exploring how the data is structured in a given repository in order to construct SPARQL queries to retrieve useful information. According to the reviewed literature, there are no applications to reconstruct the underlying semantic data models from an SPARQL endpoint. In this paper, we present an application for the reconstruction of the data model as an OWL (Ontology Web Language) ontology. This application, available as Open Source at http://github.com/estebanpua/ontology-endpoint-extraction uses a set of SPARQL queries to discover the classes and the (object and data) properties for a given RDF database. A web application interface has also been implemented for users to browse through classes, properties of the ontology generated from the data structure (http://khaos.uma.es/oee). The ontologies generated by this application can help users to understand how the information is semantically organized, making easier the design of SPARQL queries.

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Notes

  1. 1.

    https://www.w3.org/TR/void/.

  2. 2.

    http://protege.stanford.edu/about.php.

  3. 3.

    http://github.com/estebanpua/ontology-endpoint-extraction.

  4. 4.

    https://jena.apache.org/.

  5. 5.

    http://owlapi.sourceforge.net/.

  6. 6.

    http://wiki.dbpedia.org/.

  7. 7.

    https://www.openstreetmap.org/.

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Acknowledgements

This work was partially supported by Grants TIN2014-58304-R (Ministerio de Ciencia e Innovación) and P11-TIC-7529 and P12-TIC-1519 (Plan Andaluz de Investigación, Desarrollo e Innovación).

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Authors and Affiliations

  1. Departamento de Lenguaje y Ciencias de la Computación, Universidad de Málaga, Andalucía Tech, Ada Byron Research Building, 29071, Málaga, Spain

    María Jesús García-Godoy, Esteban López-Camacho, Ismael Navas-Delgado & José F. Aldana-Montes

Authors
  1. María Jesús García-Godoy
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  2. Esteban López-Camacho
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  3. Ismael Navas-Delgado
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  4. José F. Aldana-Montes
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Corresponding author

Correspondence to María Jesús García-Godoy .

Editor information

Editors and Affiliations

  1. Clausthal University of Technology , Clausthal-Zellerfeld, Germany

    Sven Hartmann

  2. Victoria University of Wellington , Wellington, New Zealand

    Hui Ma

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García-Godoy, M.J., López-Camacho, E., Navas-Delgado, I., Aldana-Montes, J.F. (2016). Re-constructing Hidden Semantic Data Models by Querying SPARQL Endpoints. In: Hartmann, S., Ma, H. (eds) Database and Expert Systems Applications. DEXA 2016. Lecture Notes in Computer Science(), vol 9827. Springer, Cham. https://doi.org/10.1007/978-3-319-44403-1_25

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  • DOI: https://doi.org/10.1007/978-3-319-44403-1_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44402-4

  • Online ISBN: 978-3-319-44403-1

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