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dc.contributor.authorAldarra, Suad
dc.contributor.authorMuñoz, Emir
dc.contributor.authorVandenbussche, Pierre-Yves
dc.contributor.authorNováček, Vít
dc.date.accessioned2016-09-14T13:37:33Z
dc.date.available2016-09-14T13:37:33Z
dc.date.issued2014
dc.identifier.citationSuad Aldarra, Emir Muñoz, Pierre-Yves Vandenbussche, and Vít Nováček. 2014. SemanTex: semantic text exploration using document links implied by conceptual networks extracted from the text. In Proceedings of the 2014 International Conference on Posters & Demonstrations Track - Volume 1272 (ISWC-PD'14), Matthew Horridge, Marco Rospocher, and Jacco Van Ossenbruggen (Eds.), Vol. 1272. CEUR-WS.org, Aachen, Germany, Germany, 345-348.en_IE
dc.identifier.urihttp://hdl.handle.net/10379/6017
dc.description.abstractDespite of advances in digital document processing, exploration of implicit relationships within large amounts of textual resources can still be daunting. This is partly due to the ‘black-box’ nature of most current methods for computing links (i.e., similarities) between documents (c.f., [1] and [2]). The methods are mostly based on numeric computational models like vector spaces or probabilistic classifiers. Such models may perform well according to standard IR evaluation methodologies, but can be sub-optimal in applications aimed at end users due to the difficulties in interpreting the results and their provenance [3, 1]. Our Semantic Text Exploration prototype (abbreviated as SemanTex) aims at finding implicit links within a corpus of textual resources (such as articles or web pages) and exposing them to users in an intuitive front-end. We discover the links by: (1) finding concepts that are important in the corpus; (2) computing relationships between the concepts; (3) using the relationships for finding links between the texts. The links are annotated with the concepts from which the particular connection was computed. Apart of being presented to human users for manual exploration in the SemanTex interfaces, we are working on representing the semantically annotated links between textual documents in RDF and exposing the resulting datasets for particular domains (such as PubMed or New York Times articles) as a part of the Linked Open Data cloud.en_IE
dc.description.sponsorshipThis work has been supported by the ‘KI2NA’ project funded by Fujitsu Laboratories Limited in collaboration with Insight @ NUI Galway.en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherACMen_IE
dc.publisherCEUR-WS.org
dc.relation.ispartofInternational Semantic Web Conference (Posters \& Demos)en
dc.subjectSemantexen_IE
dc.subjectSemantic texten_IE
dc.subjectExplorationen_IE
dc.subjectLinksen_IE
dc.subjectNetworksen_IE
dc.subjectData analytics
dc.titleSemanTex: semantic text exploration using document links implied by conceptual networks extracted from the textsen_IE
dc.typeConference Paperen_IE
dc.date.updated2016-09-13T13:18:35Z
dc.local.publishedsourcehttp://dl.acm.org/citation.cfm?id=2878453.2878540en_IE
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funder|~|1267880|~|
dc.internal.rssid11398930
dc.local.contactEmir Munoz, Deri, Ida Business Park, Lower Dangan, Nui Galway. - Email: e.munoz1@nuigalway.ie
dc.local.copyrightcheckedYes
dc.local.versionACCEPTED
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