Analyzation of Relationships among Search Queries for Extracting the Complicated Contexts in Web Exploration

Complicated Web exploration involving trial and error is quite important in intellectual creative activities. To successfully conduct such exploration, each user needs to satisfactorily understand the results and circumstances (i.e., contexts) of his/her own exploration. However, the contexts are difficult for a user to understand since queries and the pages obtained with them increase rapidly as exploration progresses. In this research, we were aiming at developing methods for visualizing the contexts so that a user can easily understand them. This paper mainly describes methods for clustering queries and extracting the transitions of search queries by analyzing the relationships between the clusters of queries. Moreover, this paper also describes a prototype of context map with some screenshots.