Thematically related words toward creative information retrieval
Eiko Yamamoto, Hitoshi Isahara · 2008
We introduce a mechanism that provides key words which can make human-computer interaction increase in the course of information retrieval, by using natural language processing technology and mathematic measure for calculating degree of inclusion. We show what type of words should be added to the current query, i.e. keywords which previously had been input, in order to make human-computer interaction more creative. We try to extract related word sets from documents by employing case-marking particles derived from syntactic analysis. Then, we verify which kind of related words is more useful as an additional word for retrieval support.