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dc.contributor.authorCochez, Michael
dc.contributor.authorGarofalo, Martina
dc.contributor.authorLenßen, Jérôme
dc.contributor.authorPellegrino, Maria Angela
dc.contributor.editorChoi, Key-Sun
dc.contributor.editorAnke, Luis Espinosa
dc.contributor.editorDeclerck, Thierry
dc.contributor.editorGromann, Dagmar
dc.contributor.editorKim, Jin-Dong
dc.contributor.editorNgomo, Axel-Cyrille Ngonga
dc.contributor.editorSaleem, Muhammad
dc.contributor.editorUsbeck, Ricardo
dc.date.accessioned2018-11-16T12:37:38Z
dc.date.available2018-11-16T12:37:38Z
dc.date.issued2018
dc.identifier.citationCochez, M., Garofalo, M., Lenßen, J., & Pellegrino, M. A. (2018). A First Experiment on Including Text Literals in KGloVe. In K.-S. Choi, L. E. Anke, T. Declerck, D. Gromann, J.-D. Kim, A.-C. N. Ngomo, M. Saleem, & R. Usbeck (Eds.), <i>SemDeep-4_NLIWOD-4 2018 : Joint Proceedings of ISWC 2018 Workshops SemDeep-4 and NLIWOD-4</i> (pp. 103-106). RWTH Aachen University. CEUR workshop proceedings, 2241. <a href="http://ceur-ws.org/Vol-2241/" target="_blank">http://ceur-ws.org/Vol-2241/</a>
dc.identifier.otherCONVID_28717343
dc.identifier.otherTUTKAID_79492
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/60224
dc.description.abstractGraph embedding models produce embedding vectors for entities and relations in Knowledge Graphs, often without taking literal properties into account. We show an initial idea based on the combination of global graph structure with additional information provided by textual information in properties. Our initial experiment shows that this approach might be useful, but does not clearly outperform earlier approaches when evaluated on machine learning tasks.fi
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherRWTH Aachen University
dc.relation.ispartofSemDeep-4_NLIWOD-4 2018 : Joint Proceedings of ISWC 2018 Workshops SemDeep-4 and NLIWOD-4
dc.relation.ispartofseriesCEUR workshop proceedings
dc.relation.urihttp://ceur-ws.org/Vol-2241/
dc.rightsIn Copyright
dc.subject.othergraph embeddings
dc.subject.otherattributes
dc.subject.otherknowledge graph
dc.titleA First Experiment on Including Text Literals in KGloVe
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-201811154729
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.date.updated2018-11-15T10:15:10Z
dc.description.reviewstatuspeerReviewed
dc.format.pagerange103-106
dc.relation.issn1613-0073
dc.relation.numberinseries2241
dc.type.versionacceptedVersion
dc.rights.copyright© the Authors, 2018.
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceWorkshop on Semantic Deep Learning
dc.subject.ysotiedonlouhinta
dc.subject.ysotekstinlouhinta
dc.subject.ysokoneoppiminen
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p5520
jyx.subject.urihttp://www.yso.fi/onto/yso/p27112
jyx.subject.urihttp://www.yso.fi/onto/yso/p21846
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en


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