MINTE: Semantically integrating RDF graphs

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

Autoren

  • Diego Collarana
  • Mikhail Galkin
  • Ignacio Traverso-Ribón
  • Maria Esther Vidal
  • Christoph Lange
  • Sören Auer

Externe Organisationen

  • Rheinische Friedrich-Wilhelms-Universität Bonn
  • Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme (IAIS)
  • St. Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO)
  • FZI Forschungszentrum Informatik am Karlsruher Institut für Technologie
  • Universidad Simon Bolivar
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksWIMS '17
UntertitelProceedings of the 7th International Conference on Web Intelligence, Mining and Semantics
ErscheinungsortNew York
Herausgeber (Verlag)Association for Computing Machinery (ACM)
Seiten1-11
Seitenumfang11
ISBN (elektronisch)9781450352253
PublikationsstatusVeröffentlicht - 19 Juni 2017
Extern publiziertJa
Veranstaltung7th International Conference on Web Intelligence, Mining and Semantics, WIMS 2017 - Amantea, Italien
Dauer: 19 Juni 2017 → 22 Juni 2017

Publikationsreihe

NameACM International Conference Proceeding Series

ASJC Scopus Sachgebiete

Zitieren

MINTE: Semantically integrating RDF graphs. / Collarana, Diego; Galkin, Mikhail; Traverso-Ribón, Ignacio et al.
WIMS '17: Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics. New York: Association for Computing Machinery (ACM), 2017. S. 1-11 22 (ACM International Conference Proceeding Series).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

Collarana, D, Galkin, M, Traverso-Ribón, I, Vidal, ME, Lange, C & Auer, S 2017, MINTE: Semantically integrating RDF graphs. in WIMS '17: Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics., 22, ACM International Conference Proceeding Series, Association for Computing Machinery (ACM), New York, S. 1-11, 7th International Conference on Web Intelligence, Mining and Semantics, WIMS 2017, Amantea, Italien, 19 Juni 2017. https://doi.org/10.1145/3102254.3102280
Collarana, D., Galkin, M., Traverso-Ribón, I., Vidal, M. E., Lange, C., & Auer, S. (2017). MINTE: Semantically integrating RDF graphs. In WIMS '17: Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics (S. 1-11). Artikel 22 (ACM International Conference Proceeding Series). Association for Computing Machinery (ACM). https://doi.org/10.1145/3102254.3102280
Collarana D, Galkin M, Traverso-Ribón I, Vidal ME, Lange C, Auer S. MINTE: Semantically integrating RDF graphs. in WIMS '17: Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics. New York: Association for Computing Machinery (ACM). 2017. S. 1-11. 22. (ACM International Conference Proceeding Series). doi: 10.1145/3102254.3102280
Collarana, Diego ; Galkin, Mikhail ; Traverso-Ribón, Ignacio et al. / MINTE : Semantically integrating RDF graphs. WIMS '17: Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics. New York : Association for Computing Machinery (ACM), 2017. S. 1-11 (ACM International Conference Proceeding Series).
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title = "MINTE: Semantically integrating RDF graphs",
keywords = "Equivalent rdf molecules, Fusion policy, RDF graph, Semantic data integration",
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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) and by the German Ministry of Education and Research with grant no. 13N13627 for the project LiDaKrA.; 7th International Conference on Web Intelligence, Mining and Semantics, WIMS 2017 ; Conference date: 19-06-2017 Through 22-06-2017",
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Download

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T2 - 7th International Conference on Web Intelligence, Mining and Semantics, WIMS 2017

AU - Collarana, Diego

AU - Galkin, Mikhail

AU - Traverso-Ribón, Ignacio

AU - Vidal, Maria Esther

AU - Lange, Christoph

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) and by the German Ministry of Education and Research with grant no. 13N13627 for the project LiDaKrA.

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KW - Fusion policy

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M3 - Conference contribution

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