Semantic Search Engines

Semantic Web Search Engine

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.

Precision Search & Find

We're building an extraordinary search engine that leverages the power of conventional search algorithms, human knowledge and the social web.

SenseBot (Beta) is a semantic search engine that generates a text summary of multiple Web pages on the topic of your search query. It uses text mining and multidocument summarization to extract sense from Web pages and present it to the user in a coherent manner. A "Semantic Cloud" of concepts is displayed above the summary, allowing to steer the focus of the results. To learn about our approach, go to the About SenseBot page, or browse Samples.

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.

searching enables you to look for entities in our whole database (people, geographic locations, institutions, pictures, etc.).

FactForge represents a reason-able view to the web of data. It aims to allow users to find resources and facts based on the semantics of the data, like web search engines index WWW pages and facilitate their usage.

You can use the input field above to search through 4 million interconnected persons, organisations and places in the semantic web. Enter the name, e-mail, nick, homepage, openid, mbox-hash or URI of the person, organisation or place you are searching.

Real-Time Faceted Search is a journey; a journey that enables you to easily tell the internet what you're looking for and let the internet find it for you. It starts with the same key word everyone is familiar with, but then guides the user through a series of contextual prompts, or 'facets', that eventually build out a more 'complex query' more powerful than that of typical keyword search. Through the use of a number of GUI techniques, the user is able to either select or fill in elements of this query in intuitive ways with all the code crunching being hidden in the background. The query can then be run over mashed up linked data sources. This enables the everyday user to build out these deep queries over linked data and receive much more relevant results.

Your green search engine

powered by advanced natural language technology

exploring the semantic web

A Search Engine for the Semantic Web (beta)

the most powerful way to search for recipes