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Fuzzy-Based Approach of Concept Alignment

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Ubiquitous Computing and Ambient Intelligence (UCAmI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10586))

Abstract

The need to share and reuse information has grown in the new era of Internet of things and ubiquitous computing. Researchers in ontology and schema matching use mapping approaches in order to achieve interoperability between heterogeneous sources. The use of multiple similarity measures that take into account lexical, structural and semantic properties of the concepts is often found in schema matching for the purpose of data integration, sharing and reusing. Mappings identified by automatic or semi-automatic tools can never be certain. In this paper, we present a fuzzy-based approach to combine different similarity measures to deal with scenarios where ambiguity of terms hinder the process of alignment and add uncertainty to the match.

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Author information

Authors and Affiliations

  1. Universidad Panamericana, Facultad de Ingeniería, Augusto Rodin 498, México, 03920, Ciudad de México, Mexico

    María de Lourdes Martínez-Villaseñor

  2. Tecnológico de Monterrey, Campus Estado de México, Carretera Lago de Guadalupe Km 2.5, Atizapán de Zaragoza, Edo. de México, México, Mexico

    María de Lourdes Martínez-Villaseñor & Miguel González-Mendoza

Authors
  1. María de Lourdes Martínez-Villaseñor
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  2. Miguel González-Mendoza
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Corresponding author

Correspondence to María de Lourdes Martínez-Villaseñor .

Editor information

Editors and Affiliations

  1. University of Santiago Chile, Santiago, Chile

    Sergio F. Ochoa

  2. Villanova University, Villanova, Pennsylvania, USA

    Pritpal Singh

  3. University of Castilla La Mancha, Ciudad Real, Spain

    José Bravo

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de Lourdes Martínez-Villaseñor, M., González-Mendoza, M. (2017). Fuzzy-Based Approach of Concept Alignment. In: Ochoa, S., Singh, P., Bravo, J. (eds) Ubiquitous Computing and Ambient Intelligence. UCAmI 2017. Lecture Notes in Computer Science(), vol 10586. Springer, Cham. https://doi.org/10.1007/978-3-319-67585-5_18

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  • DOI: https://doi.org/10.1007/978-3-319-67585-5_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67584-8

  • Online ISBN: 978-3-319-67585-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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