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Utilizing Weighted Ontology Mappings on Federated SPARQL Querying

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Semantic Technology (JIST 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8388))

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Abstract

Technologies to allow the heterogeneity of ontologies on the web of data have a key role on the emergence of Linked Open Data. Much research exists on generating better ontology mappings, and also they produce ‘weights’ (i.e. confidence) of each generated mapping. Although the semantics of such weighted ontology mappings has been discussed, how they can effectively be used in querying remains as a crucial issue. In this paper we show how such weighted ontology mappings can effectively be used in SPARQL-based querying on heterogeneous data sources by slightly extending the syntax of SPARQL query language. We show how such an extended query can be translated to a standard SPARQL query and how the extended query can customize the behavior of processing the query by reflecting the user’s demands.

Takahisa Fujino – currently with Denso Corporation.

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Notes

  1. 1.

    http://oaei.ontologymatching.org/

  2. 2.

    http://alignapi.gforge.inria.fr/

  3. 3.

    http://alignapi.gforge.inria.fr/format.html

  4. 4.

    A preliminary idea of this query translation mechanism was previously presented in [9]. However, the previously presented approach only considers the use of two ontologies with mappings to access a single data source but no consideration to access two or more data sources by federated querying. Furthermore, in this paper, we extended the syntax and the algorithm to cover federated querying situations and also we added evaluation about effectiveness of controlling queries utilizing weighted ontology mappings in querying.

  5. 5.

    A preliminary idea about SPARQLoid has been demonstrated in [10].

  6. 6.

    http://www.w3.org/TR/sparql11-query/

  7. 7.

    http://oaei.ontologymatching.org/2012/conference/index.html

  8. 8.

    It is because they are generated among the identical ontologies with different names, etc.

  9. 9.

    http://jena.apache.org/documentation/serving_data/

  10. 10.

    http://jena.apache.org/

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Authors and Affiliations

  1. Graduate School of Informatics, Shizuoka University, Hamamatsu, Japan

    Takahisa Fujino & Naoki Fukuta

Authors
  1. Takahisa Fujino
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  2. Naoki Fukuta
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Correspondence to Takahisa Fujino or Naoki Fukuta .

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Editors and Affiliations

  1. Yonsei University, Seoul, Korea, Republic of (South Korea)

    Wooju Kim

  2. Indiana University, Bloomington, Indiana, USA

    Ying Ding

  3. Seoul National University, Seoul, Korea, Republic of (South Korea)

    Hong-Gee Kim

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Fujino, T., Fukuta, N. (2014). Utilizing Weighted Ontology Mappings on Federated SPARQL Querying. In: Kim, W., Ding, Y., Kim, HG. (eds) Semantic Technology. JIST 2013. Lecture Notes in Computer Science(), vol 8388. Springer, Cham. https://doi.org/10.1007/978-3-319-06826-8_25

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  • DOI: https://doi.org/10.1007/978-3-319-06826-8_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06825-1

  • Online ISBN: 978-3-319-06826-8

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