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      MeLinDa: an interlinking framework for the web of data

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          Abstract

          The web of data consists of data published on the web in such a way that they can be interpreted and connected together. It is thus critical to establish links between these data, both for the web of data and for the semantic web that it contributes to feed. We consider here the various techniques developed for that purpose and analyze their commonalities and differences. We propose a general framework and show how the diverse techniques fit in the framework. From this framework we consider the relation between data interlinking and ontology matching. Although, they can be considered similar at a certain level (they both relate formal entities), they serve different purposes, but would find a mutual benefit at collaborating. We thus present a scheme under which it is possible for data linking tools to take advantage of ontology alignments.

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          A survey of approaches to automatic schema matching

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            Duplicate Record Detection: A Survey

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              A declarative framework for semantic link discovery over relational data

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                Author and article information

                Journal
                22 July 2011
                Article
                1107.4502
                cc533b3b-7f53-4a5d-aeec-06ffb03810b5

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                Custom metadata
                N° RR-7691 (2011)
                cs.AI
                ccsd

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