utilizes text-mining, Web service technologies and domain knowledge, in order to extract keywords, to retrieve related records from an external source, and to filter the extracted keywords list. This study meets a practical challenge encountered at the School of Veterinary and Biomedical Sciences at Murdoch University. The
. Current information retrieval systems mostly use keyword search, which is unsatisfactory option because of its low precision and recall. In this paper, we consider concept- based information retrieval model as a new and promising way of improving search on the Web. Informally, concept- based information retrieval is search
Financed by the National Centre for Research and Development under grant No. SP/I/1/77065/10 by the strategic scientific research and experimental development program:
SYNAT - “Interdisciplinary System for Interactive Scientific and Scientific-Technical Information”.