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dc.contributor.authorGarrido, Piedad
dc.contributor.authorTramullas, Jesús
dc.contributor.authorColl, Manuel
dc.date.accessioned2009-10-15T00:00:01Z
dc.date.available2010-06-18T23:21:26Z
dc.date.issued2009en_US
dc.date.submitted2009-10-15en_US
dc.identifier.citationCONDITOR1: Topic Maps and DITA labelling tool for textual documents with historical information 2009, 10(4) Journal of Digital Informationen_US
dc.identifier.urihttp://hdl.handle.net/10150/105197
dc.description.abstractConditor is a software tool which works with textual documents containing historical information. The purpose of this work two-fold: firstly to show the validity of the developed engine to correctly identify and label the entities of the universe of discourse with a labelled-combined XTM-DITA model. Secondly to explain the improvements achieved in the information retrieval process thanks to the use of a object-oriented database (JPOX) as well as its integration into the Lucene-type database search process to not only accomplish more accurate searches, but to also help the future development of a recommender system [21]. We finish with a brief demo in a 3D-graph of the results of the aforementioned search.
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherTexas A&M University Librariesen_US
dc.subjectDigital Librariesen_US
dc.subjectXMLen_US
dc.subjectnullen_US
dc.subjectComputer Scienceen_US
dc.subjectSoftwareen_US
dc.subjectElectronic Publishingen_US
dc.subject.otherTopic mapsen_US
dc.subject.otherXTMen_US
dc.subject.otherDITAen_US
dc.subject.otherHistorical documentsen_US
dc.titleCONDITOR1: Topic Maps and DITA labelling tool for textual documents with historical informationen_US
dc.typeJournal Article (On-line/Unpaginated)en_US
dc.identifier.journalJournal of Digital Informationen_US
refterms.dateFOA2018-06-18T13:08:04Z
html.description.abstractConditor is a software tool which works with textual documents containing historical information. The purpose of this work two-fold: firstly to show the validity of the developed engine to correctly identify and label the entities of the universe of discourse with a labelled-combined XTM-DITA model. Secondly to explain the improvements achieved in the information retrieval process thanks to the use of a object-oriented database (JPOX) as well as its integration into the Lucene-type database search process to not only accomplish more accurate searches, but to also help the future development of a recommender system [21]. We finish with a brief demo in a 3D-graph of the results of the aforementioned search.


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