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European Knowledge Acquisition Workshop

EKAW 2016: Knowledge Engineering and Knowledge Management pp 101–104Cite as

Matching Ontologies Using a Frame-Driven Approach

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10180))

Abstract

The need of handling semantic heterogeneity of resources is a key problem of the Semantic Web. State of the art techniques for ontology matching are the key technology for addressing this issue. However, they only partially exploit the natural language descriptions of ontology entities and they are mostly unable to find correspondences between entities having different logical types (e.g. mapping properties to classes). We introduce a novel approach aimed at finding correspondences between ontology entities according to the intensional meaning of their models, hence abstracting from their logical types. Lexical linked open data and frame semantics play a crucial role in this proposal. We argue that this approach may lead to a step ahead in the state of the art of ontology matching, and positively affect related applications such as question answering and knowledge reconciliation.

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Notes

  1. 1.

    Both Babelfy and UKB are able to perform entity linking over text.

  2. 2.

    http://ontologydesignpatterns.org/wiki/Submissions:Participation.

  3. 3.

    FrameNet Frame Participation https://goo.gl/IMdAwA.

  4. 4.

    Time Indexed Participation ODP https://goo.gl/qX3DDr.

  5. 5.

    Refer to [8] for examples of these kinds of rules.

References

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  8. Rouces, J., Melo, G., Hose, K.: FrameBase: representing N-Ary relations using semantic frames. In: Gandon, F., Sabou, M., Sack, H., d’Amato, C., Cudré-Mauroux, P., Zimmermann, A. (eds.) ESWC 2015. LNCS, vol. 9088, pp. 505–521. Springer, Cham (2015). doi:10.1007/978-3-319-18818-8_31

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Author information

Authors and Affiliations

  1. DISI, University of Bologna, Bologna, Italy

    Luigi Asprino

  2. Institute of Cognitive Sciences and Technologies, National Research Council of Italy, Rome, Italy

    Luigi Asprino, Valentina Presutti & Aldo Gangemi

  3. LIPN, Université Paris 13 Sorbonne Cité, CNRS, Paris, France

    Aldo Gangemi

Authors
  1. Luigi Asprino
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  2. Valentina Presutti
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  3. Aldo Gangemi
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Corresponding author

Correspondence to Luigi Asprino .

Editor information

Editors and Affiliations

  1. University of Bologna , Bologna, Italy

    Paolo Ciancarini

  2. University of Bologna , Bologna, Italy

    Francesco Poggi

  3. Stanford University , Palo Alto, California, USA

    Matthew Horridge

  4. Lancaster University , Lancaster, United Kingdom

    Jun Zhao

  5. Garvan Institute of Medical Research , Darlinghurst, New South Wales, Australia

    Tudor Groza

  6. Universidad Politecnica de Madrid , Boadilla del Monte, Spain

    Mari Carmen Suarez-Figueroa

  7. The Open University , Milton Keynes, United Kingdom

    Mathieu d'Aquin

  8. STLab ISTC-CNR , Rome, Italy

    Valentina Presutti

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Asprino, L., Presutti, V., Gangemi, A. (2017). Matching Ontologies Using a Frame-Driven Approach. In: Ciancarini, P., et al. Knowledge Engineering and Knowledge Management. EKAW 2016. Lecture Notes in Computer Science(), vol 10180. Springer, Cham. https://doi.org/10.1007/978-3-319-58694-6_9

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  • DOI: https://doi.org/10.1007/978-3-319-58694-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58693-9

  • Online ISBN: 978-3-319-58694-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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