An Approach Towards Classifying and Navigating RDF data based on Pattern Structures

Mehwish Alam 1 Amedeo Napoli 1
1 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : With an increased interest in machine processable data, more and more data is now published in RDF (Resource Description Framework) format. This RDF data is present in independent and distributed resources which needs to be centralized, navigated and searched for domain specific applications. This paper proposes a new approach based on Formal Concept Analysis (FCA) to create a navigation space over semantic web data. This approach uses an extension of FCA and takes RDF triples and RDF Schema present on several independent sources and provide centralized access over the data resulting from several resources. Afterwards, SPARQL queries can be posed over this navigation space to access these distributed resources from one platform for information retrieval purposes.
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Proceedings of the International Workshop on Formal Concept Analysis and Applications 2015 co-located with 13th International Conference on Formal Concept Analysis., Jun 2015, Nerja, Spain. 1434, pp.33-48, 2015, Formal Concept Analysis and Applications
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Dernière modification le : jeudi 11 janvier 2018 - 06:25:24
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Mehwish Alam, Amedeo Napoli. An Approach Towards Classifying and Navigating RDF data based on Pattern Structures. Proceedings of the International Workshop on Formal Concept Analysis and Applications 2015 co-located with 13th International Conference on Formal Concept Analysis., Jun 2015, Nerja, Spain. 1434, pp.33-48, 2015, Formal Concept Analysis and Applications. 〈hal-01186327〉

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