Full Seminar Details

Miklos Nagy

KMi, The Open University

 Miklos Nagy
Uncertainty Handling in the Context of Ontology Mapping for Question-Answering
This event took place on Wednesday 17 January 2007 at 11:30

The combination of different similarity methods in the current ontology mapping approaches can considerably increase the quality of the mappings however uncertainty caused by incomplete or inconsistent data has received relatively little attention in the ontology mapping community. This paper describes a framework for integrating similarity measures and Dempster-Shafer belief functions for ontology mapping in the context of multi agent ontology mapping. Our novel approach describes how to incorporate uncertainty which is inherent to the ontology mapping process, and utilize the Dempster-Shafer model for dealing with incomplete and uncertain information produced during the mapping and combination in order to improve the correctness of the mapping. Our main objective was to assess how applying the belief function can improve correctness of the ontology mapping through combining the similarities which were originally created by both syntactic and semantic similarity algorithms. We have participated and carried out experiments with the data sets of the Ontology Alignment Evaluation Initiative 2006 which served as a test bed to assess both the strong and weak points of our system. The experiments confirm that our algorithm performs well with both concept and property names.

Download presentation slides (zip format)

Watch the webcast replay >>

Jobs

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...

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