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dc.contributor.authorArdalan, Zagros
dc.contributor.authorMartín Escofet, Carme
dc.contributor.authorPadró, Lluís
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2015-11-03T08:11:27Z
dc.date.issued2015
dc.identifier.citationArdalan, Z., Martin, C., Padro, L. AETAS: A system for semanticizing temporal expressions from unstructured contents. A: International Symposium on Spatial and Temporal Databases. "Advances in spatial and temporal databases: 14th International Symposium, SSTD 2015, Hong Kong, China, August 26-28, 2015: proceedings". Hong Kong: Springer, 2015, p. 478-483.
dc.identifier.isbn978-3-319-22363-6
dc.identifier.urihttp://hdl.handle.net/2117/78690
dc.description.abstractAETAS is an online tool for converting text into RDF linked data with resolution of temporal expressions. AETAS follows fully SOA architecture and is accessible via web-service. It implements a novel approach for semantic representation and linked temporal graphs built from natural language sentences. In this paper, we present a demonstration tool, which combines the normalized temporal expressions with linguistic semantic frames and creates a linked RDF graph where time is defined as an individual dimension. The tool is based on SUTime which identifies and normalizes the temporal expressions and on FreeLing, a linguistic processor which extracts the semantics of sentences. The output of AETAS is a set of time-enriched triples that can be stored in a RDF database for later t-SPARQL querying.
dc.format.extent6 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Emmagatzematge i recuperació de la informació
dc.subject.lcshComputational linguistics
dc.subject.lcshInformation retrieval
dc.subject.lcshData mining
dc.titleAETAS: A system for semanticizing temporal expressions from unstructured contents
dc.typeConference report
dc.subject.lemacLingüística computacional
dc.subject.lemacRecuperació de la informació
dc.subject.lemacMineria de dades
dc.contributor.groupUniversitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural
dc.identifier.doi10.1007/978-3-319-22363-6
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007/978-3-319-22363-6_26
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac16891129
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorArdalan, Z.; Martin, C.; Padro, L.
local.citation.contributorInternational Symposium on Spatial and Temporal Databases
local.citation.pubplaceHong Kong
local.citation.publicationNameAdvances in spatial and temporal databases: 14th International Symposium, SSTD 2015, Hong Kong, China, August 26-28, 2015: proceedings
local.citation.startingPage478
local.citation.endingPage483


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