Abstract
Many studies have been performed on query expansion recently. We propose a query expansion system using conceptual fuzzy sets (CFSs) based on context. CFSs support an meaning expression by changing fuzzy sets within a context, and we use fuzzy clustering for conceptualizing fuzzy sets. We performed an experiment comparing our system with pseudo relevance feedback, which is usually used in information retrieval, and our system was found to be more precise than pseudo relevance feedback. Additionally, the results from this experiment show that our system has the possibility of being more precise by combining conceptual fuzzy sets and pseudo relevance feedback.
