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{{Article
 
{{Article
|Referiert=True
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|Referiert=Ja
 
|Title=The xLiMe System: Cross-lingual and Cross-modal Semantic Annotation, Search and Recommendation over Live-TV, News and Social Media Streams
 
|Title=The xLiMe System: Cross-lingual and Cross-modal Semantic Annotation, Search and Recommendation over Live-TV, News and Social Media Streams
 
|Year=2017
 
|Year=2017
 
|Journal=Journal of Web Semantics
 
|Journal=Journal of Web Semantics
 +
|Volume=46
 +
|Pages=20-30
 
|Publisher=Elsevier
 
|Publisher=Elsevier
|Note=to appear
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|Tags=Semantic Web,Natural Language Processing,Semantic Annotation,Media Analysis
 
}}
 
}}
 
{{Publikation Details
 
{{Publikation Details
|Abstract=Modern Web search engines still have many limitations: search terms are not disambiguated, search terms in one query can't be in different languages, the retrieved media items have to be in the same language as the search terms and search results are not integrated across a live stream of different media channels, including TV, online news and social media.
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|Abstract=Modern Web search engines still have many limitations: search terms are not disambiguated, search terms in one query can't be in different languages, the retrieved media items have to be in the same language as the search terms and search results are not integrated across a live stream of different media channels, including TV, online news and social media.The system described in this paper enables all of this by combining a media stream processing architecture with cross-lingual and cross-modal semantic annotation, search and recommendation. All those components were developed in the xLiMe project.
The system described in this paper enables all of this by combining a media stream processing architecture with cross-lingual and cross-modal semantic annotation, search and recommendation. All those components were developed in the xLiMe project.
+
|Download=xLiMe-System_JWS2017.pdf
 
|Link=http://www.websemanticsjournal.org/index.php/ps/article/view/493
 
|Link=http://www.websemanticsjournal.org/index.php/ps/article/view/493
 
|Projekt=XLiMe
 
|Projekt=XLiMe
 
|Forschungsgruppe=Web Science
 
|Forschungsgruppe=Web Science
 +
}}
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{{Forschungsgebiet Auswahl
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|Forschungsgebiet=Semantic Web
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}}
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{{Forschungsgebiet Auswahl
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|Forschungsgebiet=Semantische Annotation
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}}
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{{Forschungsgebiet Auswahl
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|Forschungsgebiet=Wissensmanagementsysteme
 
}}
 
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Aktuelle Version vom 17. November 2019, 16:23 Uhr


The xLiMe System: Cross-lingual and Cross-modal Semantic Annotation, Search and Recommendation over Live-TV, News and Social Media Streams




Veröffentlicht: 2017

Journal: Journal of Web Semantics

Seiten: 20-30
Verlag: Elsevier
Volume: 46


Referierte Veröffentlichung

BibTeX

Tags:Semantic WebNatural Language ProcessingSemantic AnnotationMedia Analysis


Kurzfassung
Modern Web search engines still have many limitations: search terms are not disambiguated, search terms in one query can't be in different languages, the retrieved media items have to be in the same language as the search terms and search results are not integrated across a live stream of different media channels, including TV, online news and social media.The system described in this paper enables all of this by combining a media stream processing architecture with cross-lingual and cross-modal semantic annotation, search and recommendation. All those components were developed in the xLiMe project.

Download: Media:xLiMe-System_JWS2017.pdf
Weitere Informationen unter: Link

Projekt

XLiMe



Forschungsgruppe

Web Science


Forschungsgebiet

Wissensmanagementsysteme, Semantische Annotation, Semantic Web