Spreading activation simulation with semantic network skeletons

dc.contributor.authorHartig, Kerstin
dc.contributor.authorKarbe, Thomas
dc.date.accessioned2018-05-15T14:30:10Z
dc.date.available2018-05-15T14:30:10Z
dc.date.issued2017
dc.description.abstractSpreading activation algorithms are a well-known tool to determine the mutual relevance of nodes in a semantic network. Although often used, the configuration of a spreading activation algorithm is usually problem-specific and experiencedriven. However, an excessive exploration of spreading behavior is often not applicable due to the size of most semantic networks. A semantic network skeleton provides a comprised summary of a semantic network for better understanding the network’s structural characteristics. In this article, we present an approach for spreading activation simulation of semantic networks utilizing their semantic network skeletons. We show how expected spreading activation behavior can be estimated and how the results allow for further effect detection. The appropriateness of the simulation results as well as time-related advantages are demonstrated in a case study.en
dc.identifier.issn1942-2679
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/7794
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-6972
dc.language.isoenen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.ddc004 Datenverarbeitung; Informatikde
dc.subject.otherspreading activationen
dc.subject.othersimulationen
dc.subject.othersemantic networken
dc.subject.othersemantic network skeletonen
dc.subject.otherinformation retrievalen
dc.titleSpreading activation simulation with semantic network skeletonsen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.issue1/2en
dcterms.bibliographicCitation.journaltitleInternational Journal on Advances in Intelligent Systemsen
dcterms.bibliographicCitation.originalpublishernameIARIAen
dcterms.bibliographicCitation.originalpublisherplaceWilmingtonen
dcterms.bibliographicCitation.pageend13en
dcterms.bibliographicCitation.pagestart1en
dcterms.bibliographicCitation.volume10en
tub.accessrights.dnbfreeen
tub.affiliationFak. 4 Elektrotechnik und Informatik::Inst. Telekommunikationssysteme::FG IT-basierte Fahrzeuginnovationende
tub.affiliation.facultyFak. 4 Elektrotechnik und Informatikde
tub.affiliation.groupFG IT-basierte Fahrzeuginnovationende
tub.affiliation.instituteInst. Telekommunikationssystemede
tub.publisher.universityorinstitutionTechnische Universität Berlinen

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