期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：54
期号：2
出版社：Journal of Theoretical and Applied
摘要：In Biomedical research, retrieving documents that match an interesting query is a task performed quite frequently. Typically, the set of obtained results is extensive containing many non-interesting documents and consists in a flat list, i.e., not organized or indexed in any way. In this paper, we have presented an efficient bio-medical document retrieval system with the proposed cross-ontology based semantic similarity measure. Here, we have utilized the WordNet and MeSH ontologies for matching the input query keyword. As well, we have designed a novel cross-ontology based semantic similarity measure for the query keywords. The proposed system runs with three major processes, which includes 1) Extracting features from the documents based on TF-IDF similarity, 2) Indexing of documents by Rabin Fingerprint algorithm and 3) Retrieving the relevant documents based on distance measure. Finally, the relevant documents are retrieved from the document repository using the matching result. The experimentation process is carried out with the aid of the different set of medical documents and hence achieved the results. The performance analysis of the proposed retrieval system is evaluated by comparing the existing similarity measures along with evaluation metrics such as precision, recall and F-measure by achieving more than 95% accuracy in most cases.
