dc.date.accessioned2019-01-29T22:19:54Z
dc.date.accessioned2023-05-30T23:27:44Z
dc.date.available2019-01-29T22:19:54Z
dc.date.available2023-05-30T23:27:44Z
dc.date.created2019-01-29T22:19:54Z
dc.date.issued2015
dc.identifierurn:isbn:9783319252636
dc.identifier3029743
dc.identifierhttp://repositorio.ucsp.edu.pe/handle/UCSP/15861
dc.identifierhttps://doi.org/10.1007/978-3-319-25264-3_19
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6477674
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.
dc.languageeng
dc.publisherSpringer Verlag
dc.relationhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84951829415&doi=10.1007%2f978-3-319-25264-3_19&partnerID=40&md5=fb6741a815b6499d83ebd44ce68ecf07
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceRepositorio Institucional - UCSP
dc.sourceUniversidad Católica San Pablo
dc.sourceScopus
dc.subjectData mining
dc.subjectExperimental test
dc.subjectLinked open datum
dc.subjectLoading time
dc.subjectNew york time
dc.subjectRDF graph
dc.subjectRDF triples
dc.subjectSerialization
dc.subjectTarget application
dc.subjectRedundancy
dc.titleToward RDF Normalization
dc.typeinfo:eu-repo/semantics/article


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