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 | 2017-12-04T10:10:08Z | |
dc.date.available | 2017-12-04T10:10:08Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Rivero, C.R., Hernández Salmerón, I.C., Ruiz Cortés, D. y Corchuelo Gil, R. (2012). Towards Discovering Ontological Models from Big RDF Data. En ER 2012: 31th International Conference on Conceptual Modeling (131-140), Florence, Italy: Springer. | |
dc.identifier.isbn | 978-3-642-33998-1 | es |
dc.identifier.issn | 0302-9743 | es |
dc.identifier.uri | http://hdl.handle.net/11441/67194 | |
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 paper, 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 minimum cardinalities of these properties. Our technique
is suitable to deal with Big RDF Data since our experiments focus on
millions of RDF triples, i.e., RDF data from DBpedia 3.2 and BBC. 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.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | ER 2012: 31th International Conference on Conceptual Modeling (2012), p 131-140 | |
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 | Towards Discovering Ontological Models from Big RDF Data | es |
dc.type | info:eu-repo/semantics/conferenceObject | 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://link.springer.com/chapter/10.1007/978-3-642-33999-8_16 | es |
dc.identifier.doi | 10.1007/978-3-642-33999-8_16 | es |
dc.contributor.group | Universidad de Sevilla. TIC134: Sistemas Informáticos | es |
idus.format.extent | 10 | es |
dc.publication.initialPage | 131 | es |
dc.publication.endPage | 140 | es |
dc.eventtitle | ER 2012: 31th International Conference on Conceptual Modeling | es |
dc.eventinstitution | Florence, Italy | es |
dc.relation.publicationplace | Berlin | es |