Paper Info
Title
The xLiMe system: Cross-lingual and cross-modal semantic annotation, search and recommendation over live-TV, news and social media streams.
Abstract
Modern Web search engines still have many limitations: search terms are not disambiguated, search terms in one query cannot 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.
Year
DOI
Venue
2017
10.1016/j.websem.2017.03.002
Journal of Web Semantics
Keywords
Field
DocType
Semantic annotation,Semantic search,Semantic recommendation,Cross-lingual,Cross-modal
Architecture,World Wide Web,Search engine,Social media,Information retrieval,Semantic Web Stack,Semantic search,Computer science,Stream processing,Semantic computing,Modal
Journal
Volume
ISSN
Citations 
46
1570-8268
0
PageRank 
References 
Authors
0.34
8
6
Name
Order
Citations
PageRank
Lei Zhang1175.71
Andreas Thalhammer2769.02
Achim Rettinger340936.04
Michael Färber45622.11
Aditya Mogadala5287.12
Ronald Denaux615314.39