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|Title=BreXearch: Exploring Brexit Data Using Cross-Lingual and Cross-Media Semantic Search | |Title=BreXearch: Exploring Brexit Data Using Cross-Lingual and Cross-Media Semantic Search | ||
|Year=2017 | |Year=2017 | ||
|Month=Oktober | |Month=Oktober | ||
− | |Booktitle=Proceedings of the ISWC 2017 Posters & Demonstrations Track | + | |Booktitle=Proceedings of the ISWC 2017 Posters & Demonstrations Track within the 16th International Semantic Web Conference (ISWC 2017) |
|Publisher=Springer | |Publisher=Springer | ||
}} | }} | ||
{{Publikation Details | {{Publikation Details | ||
− | |Download=ISWC2017 paper 532.pdf, | + | |Abstract=BreXearch is a cross-lingual and cross-media semantic searchsystem that focuses on the Brexit use case. This system has extracted the knowledge from various media sources (including online news sites,social media and live-TV) in three languages (i.e., English, German andSpanish) and integrated it with the additional background knowledge from DBpedia. Based on that, BreXearch allows us to search for different media channels using keyword queries or by means of entities and to ask complex questions regarding Brexit using SPARQL queries. |
+ | |Download=ISWC2017 paper 532.pdf, | ||
+ | |Link=http://ceur-ws.org/Vol-1963/paper532.pdf | ||
|Forschungsgruppe=Web Science | |Forschungsgruppe=Web Science | ||
+ | }} | ||
+ | {{Forschungsgebiet Auswahl | ||
+ | |Forschungsgebiet=Natürliche Sprachverarbeitung | ||
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+ | {{Forschungsgebiet Auswahl | ||
+ | |Forschungsgebiet=Semantic Web | ||
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Aktuelle Version vom 17. November 2019, 20:32 Uhr
BreXearch: Exploring Brexit Data Using Cross-Lingual and Cross-Media Semantic Search
BreXearch: Exploring Brexit Data Using Cross-Lingual and Cross-Media Semantic Search
Published: 2017
Oktober
Buchtitel: Proceedings of the ISWC 2017 Posters & Demonstrations Track within the 16th International Semantic Web Conference (ISWC 2017)
Verlag: Springer
Referierte Veröffentlichung
BibTeX
Kurzfassung
BreXearch is a cross-lingual and cross-media semantic searchsystem that focuses on the Brexit use case. This system has extracted the knowledge from various media sources (including online news sites,social media and live-TV) in three languages (i.e., English, German andSpanish) and integrated it with the additional background knowledge from DBpedia. Based on that, BreXearch allows us to search for different media channels using keyword queries or by means of entities and to ask complex questions regarding Brexit using SPARQL queries.
Download: Media:ISWC2017 paper 532.pdf
Weitere Informationen unter: Link
Natürliche Sprachverarbeitung, Semantic Web