Interlinking documents based on semantic graphs

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dc.identifier.uri http://dx.doi.org/10.15488/1364
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/1389
dc.contributor.author Nunes, Bernardo Pereira
dc.contributor.author Kawase, Ricardo
dc.contributor.author Fetahu, Besnik
dc.contributor.author Dietze, Stefan
dc.contributor.author Casanova, Marco Antonio
dc.contributor.author Maynard, Diana
dc.date.accessioned 2017-04-21T09:09:56Z
dc.date.available 2017-04-21T09:09:56Z
dc.date.issued 2013
dc.identifier.citation Nunes, B.P.; Kawase, R.; Fetahu, B.; Dietze, S.; Casanova, M.A. et al.: Interlinking documents based on semantic graphs. In: Procedia Computer Science 22 (2013), S. 231-240. DOI: https://doi.org/10.1016/j.procs.2013.09.099
dc.description.abstract Connectivity and relatedness of Web resources are two concepts that define to what extent different parts are connected or related to one another. Measuring connectivity and relatedness between Web resources is a growing field of research, often the starting point of recommender systems. Although relatedness is liable to subjective interpretations, connectivity is not. Given the Semantic Web's ability of linking Web resources, connectivity can be measured by exploiting the links between entities. Further, these connections can be exploited to uncover relationships between Web resources. In this paper, we apply and expand a relationship assessment methodology from social network theory to measure the connectivity between documents. The connectivity measures are used to identify connected and related Web resources. Our approach is able to expose relations that traditional text-based approaches fail to identify. We validate and assess our proposed approaches through an evaluation on a real world dataset, where results show that the proposed techniques outperform state of the art approaches. eng
dc.description.sponsorship CAPES
dc.description.sponsorship EU/FP7/2007-2013
dc.description.sponsorship CNP
dc.description.sponsorship FAPERJ
dc.language.iso eng
dc.publisher Amsterdam : Elsevier
dc.relation.ispartof 17th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, KES 2013, September 9-11, 2013, Kitakyushu, Japan
dc.relation.ispartofseries Procedia Computer Science 22 (2013)
dc.rights CC BY-NC-ND 3.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject Document connectivity eng
dc.subject Document recommendation eng
dc.subject Semantic connections eng
dc.subject Semantic graphs eng
dc.subject.ddc 004 | Informatik ger
dc.title Interlinking documents based on semantic graphs
dc.type article
dc.type conferenceObject
dc.type Text
dc.relation.issn 1877-0509
dc.relation.doi https://doi.org/10.1016/j.procs.2013.09.099
dc.bibliographicCitation.volume 22
dc.bibliographicCitation.firstPage 231
dc.bibliographicCitation.lastPage 240
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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