Determining and Satisfying Search Users Real Needs via Socially Constructed Search Concept Classification

Abstract

The focus of the research is to disambiguate search query by categorizing search results returned by search engines and interacting with the user to achieve query and results refinement. A novel special search-browser has been developed which combines search engine results, the open directory project (ODP) based lightweight ontology as navigator and classifier, and search results categorizing. Categories are formed based on the ODP as a predefined ontology and Lucene is to be employed to calculate the similarity between retrieved items of the search engine and concepts in the ODP. With the interaction of users, the search-browser improves the quality of search results by excluding the irrelevant documents and ontologically categorizing results for user inspection.