Similarity Measure For Semantic Document Interconnections

This paper introduces new similarity measure for semantic document interconnections. Most existing work on Semantic Web has focused on semantics of keywords. However, this research proposes a content based document retrieval using semantic similarity between documents while basically including keyword based retrieval as well. With this method, extended retrieval of documents which contain user-interested contents is possible. Through performance evaluation, this method displays more excellent keyword extraction accuracy and document similarity relevance than those of other research and its possibility of carrying out stronger semantic processing is shown.