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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.
 
|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.
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|Link=http://www.websemanticsjournal.org/index.php/ps/article/view/493
 
|Projekt=XLiMe
 
|Projekt=XLiMe
|Forschungsgruppe=Web Science und Wissensmanagement
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|Forschungsgruppe=Web Science
 
}}
 
}}

Version vom 4. Oktober 2017, 10:14 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


Verlag: Elsevier

Bemerkung: to appear

Referierte Veröffentlichung

BibTeX




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.

Weitere Informationen unter: Link

Projekt

XLiMe



Forschungsgruppe

Web Science


Forschungsgebiet

Wissensmanagementsysteme, Semantische Annotation, Semantic Web