Tech Report

SemSearch: A Search Engine for the Semantic Web

Semantic search promises to produce precise answers to user

queries by taking advantage of the availability of explicit semantics of information in the context of the semantic web. Existing tools have been primarily designed to enhance the performance of traditional search technologies but with little support for naive users, i.e., ordinary end users who are not necessarily familiar with domain specific semantic data, ontologies, or SQL-like query languages. This paper presents SemSearch, a search engine, which pays special attention to this issue by hiding the complexity of semantic search from end users and making it easy to use and effective. In contrast with existing semantic-based keyword search engines which typically compromise their capability of handling complex user queries in order to overcome the problem of knowledge overhead, SemSearch not only overcomes the problem of knowledge overhead but also supports complex queries. Further, SemSearch provides comprehensive means to produce precise answers that on the one hand satisfy user queries and on the other hand are self-explanatory and derstandable

by end users. A prototype of the search engine has been implemented

and applied in the semantic web portal of our lab. An initial evaluation shows promising results.

ID: kmi-06-11

Date: 2006

Author(s): Yuangui Lei, Victoria Uren, Enrico Motta

Resources:
Download PDF

View By

Other Publications

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 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,...

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