Semantic Full-Text Search with ESTER: Scalable, Easy, Fast

Holger Bast, Fabian Suchanek, Ingmar Weber
2008 2008 IEEE International Conference on Data Mining Workshops  
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
more » ... plemented 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.
doi:10.1109/icdmw.2008.101 dblp:conf/icdm/BastSW08 fatcat:pkjbzwi3evdvhlyu4wqn5q3wgq