Development of an Efficient Cost based Ranking and Navigation Technique for Biomedical Databases

摘要

Information overload is the most important problem when searching biomedical databases. This paper gives the solutions for information overload and the navigation cost. Categorization and ranking manage the information overload. Automatic categorization system can generate their own sets of categories through the use of clustering. First, user gives the query and they group the search results into separate categories. Second the categorized results are ranked according to the user interest. The retrieved ranking result will produce the static and dynamic tree structure. Finally, the gen-reduced tree algorithm reduces the navigation cost when compared with the opt-edgecut algorithm. The comparison result produces the overall navigation cost for the user interest.