Toward RDF Normalization

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dc.contributor.authorTicona Herrera, Regina
dc.contributor.authorTekli, Joe
dc.contributor.authorChbeir, Richard
dc.contributor.authorLaborie, Sébastien
dc.contributor.authorDongo, Irvin
dc.contributor.authorGuzman, Renato
dc.date.accessioned2019-01-29T22:19:54Z
dc.date.available2019-01-29T22:19:54Z
dc.date.issued2015
dc.description.abstractBillions of RDF triples are currently available on the Web through the Linked Open Data cloud (e.g., DBpedia, LinkedGeoData and New York Times). Governments, universities as well as companies (e.g., BBC, CNN) are also producing huge collections of RDF triples and exchanging them through different serialization formats (e.g., RDF/XML, Turtle, N-Triple, etc.). However, RDF descriptions (i.e., graphs and serializations) are verbose in syntax, often contain redundancies, and could be generated differently even when describing the same resources, which would have a negative impact on their processing. Hence, we propose here an approach to clean and eliminate redundancies from such RDF descriptions as a means of transforming different descriptions of the same information into one representation, which can then be tuned, depending on the target application (information retrieval, compression, etc.). Experimental tests show significant improvements, namely in reducing RDF description loading time and file size. © Springer International Publishing Switzerland 2015.es_PE
dc.description.uriTrabajo de investigaciónes_PE
dc.identifier.doihttps://doi.org/10.1007/978-3-319-25264-3_19es_PE
dc.identifier.isbnurn:isbn:9783319252636es_PE
dc.identifier.issn3029743es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12590/15861
dc.language.isoenges_PE
dc.publisherSpringer Verlages_PE
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84951829415&doi=10.1007%2f978-3-319-25264-3_19&partnerID=40&md5=fb6741a815b6499d83ebd44ce68ecf07es_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceScopuses_PE
dc.subjectData mininges_PE
dc.subjectExperimental testes_PE
dc.subjectLinked open datumes_PE
dc.subjectLoading timees_PE
dc.subjectNew york timees_PE
dc.subjectRDF graphes_PE
dc.subjectRDF tripleses_PE
dc.subjectSerializationes_PE
dc.subjectTarget applicationes_PE
dc.subjectRedundancyes_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.02.00es_PE
dc.titleToward RDF Normalizationes_PE
dc.typeinfo:eu-repo/semantics/article
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