Communication Dans Un Congrès Année : 2020

Semi-automatic RDFization Using Automatically Generated Mappings

Résumé

Most data available on the Web do not conform to the RDF data model. A number of tools/approaches have been developed to encourage the transition to RDF. Manual and automatic tools/approaches tend to be complex and rigid. On the other hand, semi-automatic tools can hide and automate complex tasks while enhancing flexibility by solicitating human experts for decision making purposes. In this paper, we describe a semi-automatic approach to facilitate the transformation of heterogeneous semi-structured data to RDF. The originality of our approach is its ability to generate exhaustive descriptions using entities from several ontologies without requiring end-users to have a knowledge of ontologies. We provide an implementation of our approach and demonstrate its use using a real dataset from an open data portal.

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Dates et versions

hal-04863222 , version 1 (03-01-2025)

Identifiants

Citer

Noorani Bakerally, Cyrille Bareau, Fabrice Blache, Sébastien Bolle, Christelle Ecrepont, et al.. Semi-automatic RDFization Using Automatically Generated Mappings. The Semantic Web: ESWC 2020 Satellite Events, May 2020, Heraklion, Greece. pp.25-31, ⟨10.1007/978-3-030-62327-2_5⟩. ⟨hal-04863222⟩
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