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

Resources:
Download PDF

View By

Other Publications

CONTACT US

Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

COMMENT

If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team