MateTee: A semantic similarity metric based on translation embeddings for knowledge graphs

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Camilo Morales
  • Diego Collarana
  • Maria Esther Vidal
  • Sören Auer

External Research Organisations

  • University of Bonn
  • Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS)
  • Universidad Simon Bolivar
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Details

Original languageEnglish
Title of host publicationWeb Engineering
Subtitle of host publication17th International Conference, ICWE 2017, Rome, Italy, June 5-8, 2017, Proceedings
EditorsJordi Cabot, Roberto De Virgilio, Riccardo Torlone
PublisherSpringer Verlag
Pages246-263
Number of pages18
ISBN (electronic)9783319601311
ISBN (print)9783319601304
Publication statusPublished - 1 Jun 2017
Externally publishedYes
Event17th International Conference on Web Engineering, ICWE 2017 - Rome, Italy
Duration: 5 Jun 20178 Jun 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10360 LNCS
ISSN (Print)0302-9743
ISSN (electronic)1611-3349

ASJC Scopus subject areas

Cite this

MateTee: A semantic similarity metric based on translation embeddings for knowledge graphs. / Morales, Camilo; Collarana, Diego; Vidal, Maria Esther et al.
Web Engineering: 17th International Conference, ICWE 2017, Rome, Italy, June 5-8, 2017, Proceedings. ed. / Jordi Cabot; Roberto De Virgilio; Riccardo Torlone. Springer Verlag, 2017. p. 246-263 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10360 LNCS).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Morales, C, Collarana, D, Vidal, ME & Auer, S 2017, MateTee: A semantic similarity metric based on translation embeddings for knowledge graphs. in J Cabot, R De Virgilio & R Torlone (eds), Web Engineering: 17th International Conference, ICWE 2017, Rome, Italy, June 5-8, 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10360 LNCS, Springer Verlag, pp. 246-263, 17th International Conference on Web Engineering, ICWE 2017, Rome, Italy, 5 Jun 2017. https://doi.org/10.1007/978-3-319-60131-1_14
Morales, C., Collarana, D., Vidal, M. E., & Auer, S. (2017). MateTee: A semantic similarity metric based on translation embeddings for knowledge graphs. In J. Cabot, R. De Virgilio, & R. Torlone (Eds.), Web Engineering: 17th International Conference, ICWE 2017, Rome, Italy, June 5-8, 2017, Proceedings (pp. 246-263). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10360 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-60131-1_14
Morales C, Collarana D, Vidal ME, Auer S. MateTee: A semantic similarity metric based on translation embeddings for knowledge graphs. In Cabot J, De Virgilio R, Torlone R, editors, Web Engineering: 17th International Conference, ICWE 2017, Rome, Italy, June 5-8, 2017, Proceedings. Springer Verlag. 2017. p. 246-263. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-60131-1_14
Morales, Camilo ; Collarana, Diego ; Vidal, Maria Esther et al. / MateTee : A semantic similarity metric based on translation embeddings for knowledge graphs. Web Engineering: 17th International Conference, ICWE 2017, Rome, Italy, June 5-8, 2017, Proceedings. editor / Jordi Cabot ; Roberto De Virgilio ; Riccardo Torlone. Springer Verlag, 2017. pp. 246-263 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Download
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title = "MateTee: A semantic similarity metric based on translation embeddings for knowledge graphs",
author = "Camilo Morales and Diego Collarana and Vidal, {Maria Esther} and S{\"o}ren Auer",
note = "Funding information: This work is supported in part by the European Union under the Horizon 2020 Framework Program for the project BigDataEurope (GA 644564) as well as by the German Ministry of Education and Research with grant no. 13N13627 for the project LiDaKrA. We thank Mikhail Galkin for creating the DBpedia collection used in our experiments, and Ignacio Traverso Rib{\'o}n for his support on the experimental comparison with GADES.; 17th International Conference on Web Engineering, ICWE 2017 ; Conference date: 05-06-2017 Through 08-06-2017",
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Download

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AU - Morales, Camilo

AU - Collarana, Diego

AU - Vidal, Maria Esther

AU - Auer, Sören

N1 - Funding information: This work is supported in part by the European Union under the Horizon 2020 Framework Program for the project BigDataEurope (GA 644564) as well as by the German Ministry of Education and Research with grant no. 13N13627 for the project LiDaKrA. We thank Mikhail Galkin for creating the DBpedia collection used in our experiments, and Ignacio Traverso Ribón for his support on the experimental comparison with GADES.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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