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.
ESTER REF supports text queries, ontological queries as well as combinations of the two by reducing queries to two fundamental operations, prefix search and join, implemented efficiently in terms of both processing time and index spaces.
Semantic Full-Text Search with ESTER: Scalable, Easy, Fast
2008 IEEE International Conference on Data Mining Workshops
2008 IEEE International Conference on Data Mining Workshops
Computer Science