Revealing Hidden Relations between Query-Words for an Efficient Inducing User's Intention of an Information Search

This paper proposes to increase an efficiency of somebody searching information by a visualization of an unseen query words with well-selected user's intent structures. If a search engine identifies user's intent to pursue information, it would be an effective search engine. To do so, it is needed that relationships between query-words are to be visible after recovering words lost during formulated, and that an intention structure/elements is to be established. This paper will review previous studies, after then, define a simple structure of the search intent, and show a process to expand and to generate the query words appropriate to the intent structure with a method for the visualization of the query words. In this process, some examples and tests are necessary that one of the multiple intent structured layers is to assign to a range of query-words. Increasing/Decreasing an efficiency are analyzed to find. Future research is needed how to automate a process to extend structural nodules of user's intent.