Semantic full-text search with ESTER: Scalable, easy, fast
|Semantic full-text search with ESTER: Scalable, easy, fast|
|Author(s)||Bast H., Suchanek F., Weber I.|
|Published in||Proceedings - IEEE International Conference on Data Mining Workshops, ICDM Workshops 2008|
|Keyword(s)||Unknown (Extra: Esters, Information management, Information theory, Ontology, Search engines, Semantics, Technical presentations, World Wide Web, Basic operations, Ease of use, Full-text searches, Index spaces, Ontological queries, Processing Time, Response time, Search fields, Semantic informations, Stand -alone, Text queries, Web applications, Wikipedia, Esterification)|
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Semantic full-text search with ESTER: Scalable, easy, fast is a 2008 conference paper written in English by Bast H., Suchanek F., Weber I. and published in Proceedings - IEEE International Conference on Data Mining Workshops, ICDM Workshops 2008.
We present a demo of ESTER, a search engine that combines the ease of use, speed and scalability of full-text search with the powerful semantic capabilities of ontologies. ESTER supports full-text queries, ontological queries and combinations of these, yet its interface is as easy as can be: A standard search field with semantic information provided interactively as one types. ESTER works by reducing all queries to two basic operations: prefix search and join, which can be implemented very efficiently in terms of both processing time and index space. We demonstrate the capabilities of ESTER on a combination of the English Wikipedia with the Yago ontology, with response times below 100 milliseconds for most queries, and an index size of about 4 GB. The system can be run both stand-alone and as a Web application.
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