TASE : A Temporal Aware Search Engine

Most Web pages contain temporal information, which can be utilized by search engines to improve searching performance for users. However, traditional search engines have little support in processing temporal-textual Web search. Aiming at solving this problem, in this paper we present and implement a prototype system for temporal-sensitive queries called TASE (Temporal Aware Search Engine). TASE extracts the temporal expressions for each Web page and calculates the relevant score between the web page and each temporal expression, and then re-rank search results base on the temporal information of the documents and the queries. It is demonstrated that TASE is helpful to improve the effectiveness of temporal-textual Web queries.