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+ | |Abstract=In recent years, the amount of entities in large knowledge bases available on the Web has been increasing rapidly, making it possible to propose new ways of intelligent information access. Within the context of globalization, there is a clear need for techniques and systems that can enable multilingual and cross-lingual information access. In this paper, we present XKnowSearch!, a novel entity-based system for multilingual and cross-lingual information retrieval, which sup- ports keyword search and also allows users to influence the search process according to their search intents. By lever- aging the multilingual knowledge base on the Web, keyword queries and documents can be represented in their semantic forms, which can facilitate query disambiguation and expansion, and can also overcome the language barrier between queries and documents in different languages. | ||
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+ | |Download=Cikm2016.pdf, | ||
|Projekt=XLiMe | |Projekt=XLiMe | ||
|Forschungsgruppe=Web Science und Wissensmanagement | |Forschungsgruppe=Web Science und Wissensmanagement | ||
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Version vom 28. Oktober 2016, 00:33 Uhr
XKnowSearch! Exploiting Knowledge Bases for Entity-based Cross-lingual Information Retrieval
XKnowSearch! Exploiting Knowledge Bases for Entity-based Cross-lingual Information Retrieval
Published: 2016
Oktober
Buchtitel: The 25th ACM International on Conference on Information and Knowledge Management (CIKM)
Verlag: ACM
Referierte Veröffentlichung
Kurzfassung
In recent years, the amount of entities in large knowledge bases available on the Web has been increasing rapidly, making it possible to propose new ways of intelligent information access. Within the context of globalization, there is a clear need for techniques and systems that can enable multilingual and cross-lingual information access. In this paper, we present XKnowSearch!, a novel entity-based system for multilingual and cross-lingual information retrieval, which sup- ports keyword search and also allows users to influence the search process according to their search intents. By lever- aging the multilingual knowledge base on the Web, keyword queries and documents can be represented in their semantic forms, which can facilitate query disambiguation and expansion, and can also overcome the language barrier between queries and documents in different languages.
Download: Media:Cikm2016.pdf
Web Science und Wissensmanagement
Wissensrepräsentation, Natürliche Sprachverarbeitung, Semantic Web