dc.creator | Rivero, Carlos R. | es |
dc.creator | Hernández Salmerón, Inmaculada Concepción | es |
dc.creator | Ruiz Cortés, David | es |
dc.creator | Corchuelo Gil, Rafael | es |
dc.date.accessioned | 2021-02-17T09:48:34Z | |
dc.date.available | 2021-02-17T09:48:34Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Rivero, C.R., Hernández Salmerón, I.C., Ruiz Cortés, D. y Corchuelo Gil, R. (2015). Discovering and Analysing Ontological Models from Big RDF Data. Journal of Database Management (JDM), 26 (2) | |
dc.identifier.issn | 1063-8016 | es |
dc.identifier.uri | https://hdl.handle.net/11441/105068 | |
dc.description.abstract | The Web of Data, which comprises web sources that provide
their data in RDF, is gaining popularity day after day. Ontological
models over RDF data are shared and developed with the consensus of
one or more communities. In this context, there usually exist more than
one ontological model to understand RDF data; therefore, there might
be a gap between the models and the data, which is not negligible in
practice. In this article, we present a technique to automatically discover
ontological models from raw RDF data. It relies on a set of SPARQL 1.1
structural queries that are generic and independent from the RDF data.
The output of our technique is a model that is derived from these data
and includes the types and properties, subtypes, domains and ranges of
properties and subproperties. Our experiments with millions of triples
prove that our technique is suitable to deal with Big RDF Data. As far
as we know, this is the first technique to discover such ontological models
in the context of RDF data and the Web of Data. | es |
dc.description.sponsorship | Ministerio de Educación y Ciencia TIN2007-64119 | es |
dc.description.sponsorship | Junta de Andalucía P07-TIC-2602 | es |
dc.description.sponsorship | Junta de Andalucía P08-TIC-4100 | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación TIN2010-21744 | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación TIN2010-09809-E | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación TIN2010-10811-E | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación TIN2010-09988-E | es |
dc.format | application/pdf | es |
dc.format.extent | 15 | es |
dc.language.iso | eng | es |
dc.publisher | IGI Global | es |
dc.relation.ispartof | Journal of Database Management (JDM), 26 (2) | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Ontological models | es |
dc.subject | Web of Data | es |
dc.subject | RDF | es |
dc.subject | SPARQL 1.1 | es |
dc.title | Discovering and Analysing Ontological Models from Big RDF Data | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.projectID | TIN2007-64119 | es |
dc.relation.projectID | P07-TIC-2602 | es |
dc.relation.projectID | P08-TIC-4100 | es |
dc.relation.projectID | TIN2010-21744 | es |
dc.relation.projectID | TIN2010-09809-E | es |
dc.relation.projectID | TIN2010-10811-E | es |
dc.relation.projectID | TIN2010-09988-E | es |
dc.relation.publisherversion | https://www.igi-global.com/article/discovering-and-analysing-ontological-models-from-big-rdf-data/142072 | es |
dc.identifier.doi | 10.4018/JDM.2015040104 | es |
dc.journaltitle | Journal of Database Management (JDM) | es |
dc.publication.volumen | 26 | es |
dc.publication.issue | 2 | es |
dc.identifier.sisius | 20926138 | es |
dc.contributor.funder | Ministerio de Educación y Ciencia (MEC). España | es |
dc.contributor.funder | Junta de Andalucía | es |
dc.contributor.funder | Ministerio de Ciencia e Innovación (MICIN). España | es |