A Survey of Schema-Based Matching Approaches View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2005

AUTHORS

Pavel Shvaiko , Jérôme Euzenat

ABSTRACT

Schema and ontology matching is a critical problem in many application domains, such as semantic web, schema/ontology integration, data warehouses, e-commerce, etc. Many different matching solutions have been proposed so far. In this paper we present a new classification of schema-based matching techniques that builds on the top of state of the art in both schema and ontology matching. Some innovations are in introducing new criteria which are based on (i) general properties of matching techniques, (ii) interpretation of input information, and (iii) the kind of input information. In particular, we distinguish between approximate and exact techniques at schema-level; and syntactic, semantic, and external techniques at element- and structure-level. Based on the classification proposed we overview some of the recent schema/ontology matching systems pointing which part of the solution space they cover. The proposed classification provides a common conceptual basis, and, hence, can be used for comparing different existing schema/ontology matching techniques and systems as well as for designing new ones, taking advantages of state of the art solutions. More... »

PAGES

146-171

References to SciGraph publications

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  • 2006-05-19. Dissimilarity measure for collections of objects and values in ADVANCES IN INTELLIGENT DATA ANALYSIS REASONING ABOUT DATA
  • 2005. Semantic Mappings in Description Logics for Spatio-temporal Database Schema Integration in JOURNAL ON DATA SEMANTICS III
  • 2002-09-13. Measuring Similarity between Ontologies in KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT: ONTOLOGIES AND THE SEMANTIC WEB
  • 2004. S-Match: an Algorithm and an Implementation of Semantic Matching in THE SEMANTIC WEB: RESEARCH AND APPLICATIONS
  • 2001-09-03. Autoplex: Automated Discovery of Content for Virtual Databases in COOPERATIVE INFORMATION SYSTEMS
  • 2005. Semantic Schema Matching in ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS 2005: COOPIS, DOA, AND ODBASE
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  • 2004. Ontology Mapping – An Integrated Approach in THE SEMANTIC WEB: RESEARCH AND APPLICATIONS
  • 2004. An API for Ontology Alignment in THE SEMANTIC WEB – ISWC 2004
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  • Book

    TITLE

    Journal on Data Semantics IV

    ISBN

    978-3-540-31001-3
    978-3-540-31447-9

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/11603412_5

    DOI

    http://dx.doi.org/10.1007/11603412_5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1039013252


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