Title :
Semantic Web based information query system for the integration of semantic data
Author :
Choi, Okkyung ; Han, Sangyong ; Abraham, Ajith
Author_Institution :
Dept. of Comput. Sci. & Eng., Chung Ang Univ., Seoul, South Korea
Abstract :
In this paper, we propose semantic Web based information query system (SW-IQS) using ontology server. SW-IQS is supposed to enhance efficiency and accuracy of information retrieval for unstructured and semi-structured documents. For the interoperability and easy integration, we suggest RDF based repository system. A new ranking algorithm is also proposed to measure the similarity between documents with semantic information for rapid and correct information retrieval. The proposed algorithm is implemented and compared with some of the existing models.
Keywords :
ontologies (artificial intelligence); query processing; semantic Web; RDF based repository system; information retrieval; ontology server; ranking algorithm; semantic Web based information query system; Automation; Computer science; Data engineering; Database languages; Filters; Information retrieval; Information technology; Ontologies; Resource description framework; Semantic Web;
Conference_Titel :
Next Generation Web Services Practices, 2005. NWeSP 2005. International Conference on
Print_ISBN :
0-7695-2452-4
DOI :
10.1109/NWESP.2005.68
