Tech Report

State of the art on Semantic Question Answering

We analyze the contributions, challenges and dimensions of question answering on the Semantic Web by looking at the state of the art on semantic question answering systems, and the implications in traditional methods on ontology selection, mapping and semantic similarity measures to balance the heterogeneity and large scale semantic data with run time performance

ID: kmi-07-03

Date: 2007

Author(s): Vanessa Lopez, Enrico Motta, Victoria Uren, Marta Sabou

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Junior Front-end and CMS Web Developer

Knowledge Media Institute (KMi)
21,843 - 24,565
Based in Milton Keynes
Temporary contract for 12 months

The Knowledge Media Institute (KMi) within STEM is looking for a Junior Front-end & CMS Web Developer to join their team at the OU that runs a large aggregator of research papers called CORE, and a set of projects promoting principles of Open Science. CORE provides free access to the full-texts of 5 million+ Open Access research papers as well as a number of information services for researchers and organizations. These include service enabling text and data mining, recommender systems,...

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