Supporting contextualized information finding with automatic excerpt categorization

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dc.identifier.uri http://dx.doi.org/10.15488/906
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/930
dc.contributor.author Kawase, Ricardo
dc.contributor.author Siehndel, Patrick
dc.contributor.author Pereira Nunes, Bernardo
dc.date.accessioned 2016-12-21T12:09:03Z
dc.date.available 2016-12-21T12:09:03Z
dc.date.issued 2014
dc.identifier.citation Kawase, R.; Siehndel, P.; Nunes, B.P.: Supporting contextualized information finding with automatic excerpt categorization. In: Procedia Computer Science 35 (2014), Nr. C, S. 551-559. DOI: https://doi.org/10.1016/j.procs.2014.08.136
dc.description.abstract The volume of information on the Web is constantly growing. Consequently, finding specific pieces of information becomes a harder task. Wikipedia, the largest online reference Website is beginning to witness this phenomenon. Learners often turn to Wikipedia in order to learn facts regarding different subjects. However, as time passes, Wikipedia articles get larger and specific information gets more difficult to be located. In this work, we propose an automatic annotation method that is able to precisely assign categories to any textual resource. Our approach relies on semantic enhanced annotations and the categorization schema of Wikipedia. The results of a user study show that our proposed method provides solid results for classifying text and provides a useful support for locating information. As implication, our research will help future learners to easily identify desired learning topics of interest in large textual resources. eng
dc.description.sponsorship European Commission/QualiMaster/ICT 619525
dc.language.iso eng
dc.publisher Amsterdam : Elsevier
dc.relation.ispartof International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2014
dc.relation.ispartofseries Procedia Computer Science 35 (2014)
dc.rights CC BY-NC-ND 3.0
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject Wikipedia eng
dc.subject Knowledge based systems eng
dc.subject Semantics eng
dc.subject Social networking (online) eng
dc.subject Annotation eng
dc.subject Automatic annotation eng
dc.subject Categorization eng
dc.subject Learning support eng
dc.subject Specific information eng
dc.subject User study eng
dc.subject Wikipedia articles eng
dc.subject Classification (of information) eng
dc.subject.ddc 000 | Informatik, Informationswissenschaft, allgemeine Werke ger
dc.subject.ddc 020 | Bibliotheks- und Informationswissenschaft ger
dc.title Supporting contextualized information finding with automatic excerpt categorization
dc.type article
dc.type conferenceObject
dc.type Text
dc.relation.issn 18770509
dc.relation.doi https://doi.org/10.1016/j.procs.2014.08.136
dc.bibliographicCitation.issue C
dc.bibliographicCitation.volume 35
dc.bibliographicCitation.firstPage 551
dc.bibliographicCitation.lastPage 559
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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