Exploiting Knowledge Bases for Multilingual and Cross-lingual Semantic Annotation and Search
نویسندگان
چکیده
The amount of entities in large knowledge bases (KBs) has been increasing rapidly, making it possible to propose new ways of intelligent information access. In addition, there is an impending need for systems that can enable multilingual and cross-lingual information access. In this work, we firstly demonstrate X-LiSA, an infrastructure for multilingual and cross-lingual semantic annotation, which supports interfaces for annotating unstructured text in different languages using resources from KBs. Based on X-LiSA, we demonstrate XKnowSearch!, a novel system for multilingual and cross-lingual semantic search, which supports keyword search on textual data by exploiting its semantics.
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تاریخ انتشار 2015