DESAMBIGUATING WEB SEARCH RESULTS BY TOPIC AND TEMPORAL CLUSTERING: A PROPOSAL

Abstract

With so much information available on the web, looking for relevant documents on the Internet has become a difficult task. Temporal features play an important role with the introduction of a time dimension and the possibility to restrict a search by time, recreating a particular moment of a web page set. Despite its importance, temporal information is still under-considered by current search engines, limiting themselves to the capture of the most recent snapshot of the information. This poses two interesting problems. On the one hand, the information captured today may be gone tomorrow. On the other hand, if historical data still exists, it may be lost, due to the fact that temporal information is not considered. The solution to these problems may be in the introduction of timelines, through web archives or temporal search engines, which, individually or together, can favour the exploration and disambiguation of the information. In this paper, we describe the architecture of a temporal