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Precision Search & Find

Terrier is a highly flexible, efficient, and effective open source search engine, readily deployable on large-scale collections of documents. Terrier implements state-of-the-art indexing and retrieval functionalities, and provides an ideal platform for the rapid development and evaluation of large-scale retrieval applications. Terrier is open source, and is a comprehensive, flexible and transparent platform for research and experimentation in text retrieval. Research can easily be carried out on standard TREC and CLEF test collections. Terrier is written in Java, and is developed at the School of Computing Science, University of Glasgow.

System One offers a range of new semantic search, analytics and collaboration products that de- crease the costs of daily infor- mation workflows, enable new business strategies and are more flexible as well as cost effective.

Our leading semantic engine, CTRL, tracks your subject of interest by fetching relevant news from the top news sources online saving you time by delivering only relevant articles (summary and original link) straight to your email.

Access, organize and search information, files, documents, projects within your entire organization from one place.

Searching more than 20 million Pubmed Abstracts Semantic Search service provided by hakia.com, Side-by-side comparison to PubMed

Your green search engine

Faceted Wikipedia Search allows users to ask complex queries against Wikipedia. The answers to these queries are not generated using key word matching as the answers of search engines like Google or Yahoo, but are generated based on structured information that has been extracted from many different Wikipedia articles.

Search and explore over 4 billion RDF statements from various sources including UniProt, PubMed, EntrezGene and 20 more...Perform complex SPARQL queries and retrieve more than 500 million RDF resources.