Web of Web: A User-centric Technology for Relation-Oriented Web Querying

Nowadays, the explosion of information is a major source of trouble for web searchers. Utilizing better and better page ranking mechanisms, web search engines do their best to present information as relevant to users' queries as possible. Generally speaking, web search engines return lists of web pages related to query criterion as results. However, for end users, this may not fit his/her expectations. It is highly possible that a "group" of web pages are needed to satisfy a user's need in one searching session. As a result, we propose a relation-oriented web querying technology. Instead of performing query on the basis of standalone pages, we propose to perform query on the basis of groups of related pages. Besides, we would like to take advantage from crowd intelligence to improve search efficiency. The concept and the guideline of implementation are presented in this paper.