Interactive Exploration over RDF Data using Formal Concept Analysis
Identifieur interne : 000371 ( Hal/Checkpoint ); précédent : 000370; suivant : 000372Interactive Exploration over RDF Data using Formal Concept Analysis
Auteurs : Mehwish Alam [France] ; Amedeo Napoli [France]Source :
English descriptors
- mix :
Abstract
With an increased interest in machine processable data, many datasets are now published in RDF (Resource Description Framework) format in Linked Data Cloud. These data are distributed over independent resources which need to be centralized and explored for domain specific applications. This paper proposes a new approach based on interactive data exploration paradigm using Pattern Structures, an extension of Formal Concept Analysis, to provide exploration and navigation over Linked Data through concept lattices. It takes RDF triples and RDF Schema based on user requirements and provides one navigation space resulting from several RDF resources. This navigation space allows user to navigate and search only the part of data that is interesting for her.
Url:
DOI: 10.1109/DSAA.2015.7344838
Links toward previous steps (curation, corpus...)
Links to Exploration step
Hal:hal-01186335Le document en format XML
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<front><div type="abstract" xml:lang="en">With an increased interest in machine processable data, many datasets are now published in RDF (Resource Description Framework) format in Linked Data Cloud. These data are distributed over independent resources which need to be centralized and explored for domain specific applications. This paper proposes a new approach based on interactive data exploration paradigm using Pattern Structures, an extension of Formal Concept Analysis, to provide exploration and navigation over Linked Data through concept lattices. It takes RDF triples and RDF Schema based on user requirements and provides one navigation space resulting from several RDF resources. This navigation space allows user to navigate and search only the part of data that is interesting for her.</div>
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<idno type="stamp" n="LORIA-TALC" p="LORIA">Traitement automatique des langues et des connaissances</idno>
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<idno type="stamp" n="INRIA_TEST">INRIA - Institut National de Recherche en Informatique et en Automatique</idno>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Interactive Exploration over RDF Data using Formal Concept Analysis</title>
<author role="aut"><persName><forename type="first">Mehwish</forename>
<surname>Alam</surname>
</persName>
<email>Emailmehwish.alam@loria.fr</email>
<idno type="halAuthorId">1262920</idno>
<affiliation ref="#struct-205125"></affiliation>
</author>
<author role="aut"><persName><forename type="first">Amedeo</forename>
<surname>Napoli</surname>
</persName>
<email>Emailamedeo.napoli@loria.com</email>
<idno type="halAuthorId">1262921</idno>
<affiliation ref="#struct-205125"></affiliation>
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<monogr><meeting><title>Proceedings of IEEE International Conference on Data Science and Advanced Analytics</title>
<date type="start">2015-08-19</date>
<date type="end">2015-08-21</date>
<settlement>Paris</settlement>
<country key="FR">France</country>
</meeting>
<imprint><date type="datePub">2015-10-19</date>
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<idno type="doi">10.1109/DSAA.2015.7344838</idno>
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<profileDesc><langUsage><language ident="en">English</language>
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<textClass><keywords scheme="author"><term xml:lang="en">RDF</term>
<term xml:lang="en">Linked Open Data</term>
<term xml:lang="en">Pattern Structures</term>
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<abstract xml:lang="en">With an increased interest in machine processable data, many datasets are now published in RDF (Resource Description Framework) format in Linked Data Cloud. These data are distributed over independent resources which need to be centralized and explored for domain specific applications. This paper proposes a new approach based on interactive data exploration paradigm using Pattern Structures, an extension of Formal Concept Analysis, to provide exploration and navigation over Linked Data through concept lattices. It takes RDF triples and RDF Schema based on user requirements and provides one navigation space resulting from several RDF resources. This navigation space allows user to navigate and search only the part of data that is interesting for her.</abstract>
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