An Approach Towards Classifying and Navigating RDF data based on Pattern Structures
Identifieur interne : 000C53 ( Hal/Curation ); précédent : 000C52; suivant : 000C54An Approach Towards Classifying and Navigating RDF data based on Pattern Structures
Auteurs : Mehwish Alam [France] ; Amedeo Napoli [France]Source :
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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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<front><div type="abstract" xml:lang="en">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.</div>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">An Approach Towards Classifying and Navigating RDF data based on Pattern Structures</title>
<author role="aut"><persName><forename type="first">Mehwish</forename>
<surname>Alam</surname>
</persName>
<idno type="halAuthorId">945492</idno>
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<author role="aut"><persName><forename type="first">Amedeo</forename>
<surname>Napoli</surname>
</persName>
<idno type="halAuthorId">52676</idno>
<affiliation ref="#struct-205125"></affiliation>
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<monogr><meeting><title>Proceedings of the International Workshop on Formal Concept Analysis and Applications 2015 co-located with 13th International Conference on Formal Concept Analysis.</title>
<date type="start">2015-06-23</date>
<date type="end">2015-08-26</date>
<settlement>Nerja</settlement>
<country key="ES">Spain</country>
</meeting>
<imprint><biblScope unit="serie">Formal Concept Analysis and Applications</biblScope>
<biblScope unit="volume">1434</biblScope>
<biblScope unit="pp">33-48</biblScope>
<date type="datePub">2015-06-23</date>
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<profileDesc><langUsage><language ident="en">English</language>
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<textClass><keywords scheme="author"><term xml:lang="en">Formal Concept Analysis</term>
<term xml:lang="en">Navigation Space</term>
<term xml:lang="en">Linked Open Data</term>
<term xml:lang="en">RDF</term>
<term xml:lang="en">RDF Schema</term>
<term xml:lang="en">Semantic Pattern Structures</term>
</keywords>
<classCode scheme="halDomain" n="info.info-ir">Computer Science [cs]/Information Retrieval [cs.IR]</classCode>
<classCode scheme="halTypology" n="COMM">Conference papers</classCode>
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<abstract xml:lang="en">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.</abstract>
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