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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