Multi-Faceted Clustering of Meta-Search Results

The proliferation of information sources, media, formats, tools and interfaces on the Web has made it more difficult to find all relevant information, thereby decreasing productivity and user satisfaction. This project will develop the next generation search technology that combines universal meta-search, intelligent search result clustering, and pragmatic information visualization to provide the best answers to users, even when they do not know where to look. Universal meta-­search simultaneously searches heterogeneous information sources and blends and ranks different information media and formats in a coherent way. Intelligent faceted clustering organizes the search results in a clear and useful manner to promote knowledge extraction, query refinement, and personalization by users. Information visualization helps support user exploration, understanding, and discovery. The Phase I project researched, designed, and developed a next generation clustering technology for organizing meta-search results along multiple information facets in multiple information dimensions of multiple search spaces. The research goals were achieved by developing proof-of-concept pilots in different disciplines and application domains, such as energy and consumer health. The Phase II project will address the challenges of converting the innovative Phase I ideas and prototypes into a robust commercial product. Commercial Applications and other Benefits as described by the awardee: Potential markets for universal meta-search and intelligent clustering technology include government agencies, universities and schools, as well as the R&D departments of corporations, including biotech companies, energy companies, technology firms, and financial institutions.