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Abstract:
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.
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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.
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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.
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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.
