Metadata extraction and retrieval methods for taste-impressions with bio-sensing technology

Hanako Kariya, Yasushi Kiyoki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


In this paper, we present a new generation food information retrieval by Taste-impression equipped with bio-sensing technology. The aim of our method is to realize the computing environment for one of the un-discussed basic human perception: sense of taste. Our method extracts Taste-impression metadata automatically by using sensor outputs retrieved from a taste sensor, according to 1) user's desirable abstraction levels of terms expressing Taste-impression and 2) characteristic features of foods, such as a type, a nationality, and a theme. We call those characteristics of foods and drinks, 'Taste Scope'. By extracting Taste Scope dependent metadata applying a bio-sensing technology, our method transforms sensor outputs expressing primitive taste elements into meaningful Taste-impression metadata and computes correlations between target foods (or drinks) and a query described in Taste-impression. Users can intuitively search any kinds of information regarding foods and drinks on the basis of abstract Taste-impression preferences with user's desired granularity. We clarify the feasibility and effectiveness of our method by showing several experimental results.

Original languageEnglish
Title of host publicationInformation Modelling and Knowledge Bases XIX
PublisherIOS Press BV
Number of pages20
ISBN (Print)9781586038120
Publication statusPublished - 2008

Publication series

NameFrontiers in Artificial Intelligence and Applications
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

ASJC Scopus subject areas

  • Artificial Intelligence


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