Semantic Similarity based Clustering of License Excerpts for Improved End-User Interpretation

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

Externe Organisationen

  • Rheinische Friedrich-Wilhelms-Universität Bonn
  • Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme (IAIS)
  • Technische Informationsbibliothek (TIB) Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
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Details

OriginalspracheEnglisch
Titel des SammelwerksSemantics2017
UntertitelProceedings of the 13th International Conference on Semantic Systems
Herausgeber/-innenRinke Hoekstra, Victor de Boer, Tassilo Pellegrini, Rinke Hoekstra, Catherine Faron-Zucker
Herausgeber (Verlag)Association for Computing Machinery (ACM)
Seiten144-151
Seitenumfang8
ISBN (elektronisch)9781450352963
PublikationsstatusVeröffentlicht - 11 Sept. 2017
Veranstaltung13th International Conference on Semantic Systems, SEMANTiCS 2017 - Amsterdam, Niederlande
Dauer: 12 Sept. 201713 Sept. 2017

ASJC Scopus Sachgebiete

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Semantic Similarity based Clustering of License Excerpts for Improved End-User Interpretation. / Nejad, Najmeh Mousavi; Scerri, Simon; Auer, Sören.
Semantics2017: Proceedings of the 13th International Conference on Semantic Systems. Hrsg. / Rinke Hoekstra; Victor de Boer; Tassilo Pellegrini; Rinke Hoekstra; Catherine Faron-Zucker. Association for Computing Machinery (ACM), 2017. S. 144-151.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Nejad, NM, Scerri, S & Auer, S 2017, Semantic Similarity based Clustering of License Excerpts for Improved End-User Interpretation. in R Hoekstra, V de Boer, T Pellegrini, R Hoekstra & C Faron-Zucker (Hrsg.), Semantics2017: Proceedings of the 13th International Conference on Semantic Systems. Association for Computing Machinery (ACM), S. 144-151, 13th International Conference on Semantic Systems, SEMANTiCS 2017, Amsterdam, Niederlande, 12 Sept. 2017. https://doi.org/10.1145/3132218.3132224
Nejad, N. M., Scerri, S., & Auer, S. (2017). Semantic Similarity based Clustering of License Excerpts for Improved End-User Interpretation. In R. Hoekstra, V. de Boer, T. Pellegrini, R. Hoekstra, & C. Faron-Zucker (Hrsg.), Semantics2017: Proceedings of the 13th International Conference on Semantic Systems (S. 144-151). Association for Computing Machinery (ACM). https://doi.org/10.1145/3132218.3132224
Nejad NM, Scerri S, Auer S. Semantic Similarity based Clustering of License Excerpts for Improved End-User Interpretation. in Hoekstra R, de Boer V, Pellegrini T, Hoekstra R, Faron-Zucker C, Hrsg., Semantics2017: Proceedings of the 13th International Conference on Semantic Systems. Association for Computing Machinery (ACM). 2017. S. 144-151 doi: 10.1145/3132218.3132224
Nejad, Najmeh Mousavi ; Scerri, Simon ; Auer, Sören. / Semantic Similarity based Clustering of License Excerpts for Improved End-User Interpretation. Semantics2017: Proceedings of the 13th International Conference on Semantic Systems. Hrsg. / Rinke Hoekstra ; Victor de Boer ; Tassilo Pellegrini ; Rinke Hoekstra ; Catherine Faron-Zucker. Association for Computing Machinery (ACM), 2017. S. 144-151
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title = "Semantic Similarity based Clustering of License Excerpts for Improved End-User Interpretation",
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