In this paper, we present a metadata extraction method for taste-impression with sensor technologies. Our metadata extraction method extracts taste-impression metadata automatically by using sensor outputs retrieved from the taste sensor, according to characteristic features of foods, such as a type, a nationality, and a theme ("taste domain"). By realizing taste-domain-dependent metadata extraction with sensor technologies, our method transforms sensor outputs into meaningful taste-impression metadata automatically and computes the correlation between the target foods (or drinks) and the query described in taste-impression. Users can intuitively search various information resources regarding foods and drinks on the basis of abstract taste-impression preferences. We clarify the feasibility and effectiveness of our method by several experimental results.