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+ | |Abstract=The ever-increasing quantities of structured knowledge on the Web and the impending need of multilinguality and cross-linguality for information access pose new challenges but at the same time open up new opportunities for knowledge extraction research. In this regard, cross-lingual semantic annotation has emerged as a topic of major interest and it is essential to build tools that can link words and phrases in unstructured text in one language to resources in structured knowledge bases in any other language. In this paper, we demonstrate X-LiSA, an infrastructure for cross-lingual semantic annotation, which supports both service-oriented and user-oriented interfaces for annotating text documents and web pages in different languages using resources from Wikipedia and Linked Open Data (LOD). | ||
|Link=http://www.vldb.org/pvldb/vol7/p1693-zhang.pdf | |Link=http://www.vldb.org/pvldb/vol7/p1693-zhang.pdf | ||
|Projekt=XLiMe, XLike | |Projekt=XLiMe, XLike | ||
|Forschungsgruppe=Wissensmanagement | |Forschungsgruppe=Wissensmanagement | ||
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Version vom 16. März 2015, 02:11 Uhr
X-LiSA: Cross-lingual Semantic Annotation
X-LiSA: Cross-lingual Semantic Annotation
Veröffentlicht: 2014 September
Journal: Proceedings of the VLDB Endowment (PVLDB), the 40th International Conference on Very Large Data Bases (VLDB)
Nummer: 13
Seiten: 1693-1696
Volume: 7
Referierte Veröffentlichung
Kurzfassung
The ever-increasing quantities of structured knowledge on the Web and the impending need of multilinguality and cross-linguality for information access pose new challenges but at the same time open up new opportunities for knowledge extraction research. In this regard, cross-lingual semantic annotation has emerged as a topic of major interest and it is essential to build tools that can link words and phrases in unstructured text in one language to resources in structured knowledge bases in any other language. In this paper, we demonstrate X-LiSA, an infrastructure for cross-lingual semantic annotation, which supports both service-oriented and user-oriented interfaces for annotating text documents and web pages in different languages using resources from Wikipedia and Linked Open Data (LOD).
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