Hierarchical structural approach to improving the browsability of Web search engine results

Web users have been mainly relying on Web search engines to find information of interest on the Web. However, two key issues remain with traditional Web search engines: the browsability of searching results and the capacity of Web coverage. The long ranked list presentation of search results, which is widely adopted by the industry adds a layer of confusion to users, especially when the number of matches returned from search engines can easily exceed ten thousand level. In this research, we designed an agent system based on hierarchically structural approach for organizing Web search results, coupled with a metasearch approach for Web searching. The metasearch approach would help us extract the best of the Web from a larger Web coverage; and our ontological approach is aimed at providing a mechanism to categorize search results in a semantic hierarchical organization, and allow users to find target information in a progressive and interactive manner.