A Scoring Method of XML Fragments Considering Query-Oriented Statistics

In this paper, we propose a scoring method for search-ing XML fragments related with user’s information need. In conventional XML fragment retrieval systems, the term-weighting schemes based on traditional information re-trieval techniques are usually used directly for scoring re-trieved XML fragments. However, we believe that retrieved XML fragments should be scored considering not only tra-ditional retrieved-document-oriented statistics like the tf-idf scoring but also query-oriented ones such as constituent rate of query keywords and statistics of the query results, so that it remains possible that such techniques will help the conventional XML fragment retrieval systems to improve their relevances. Our experimental results show that our method consid-ering query conditions is more effective for searching XML fragments correctly than conventional approaches.