Abstract (EN):
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. In this paper, we describe the architecture of a temporal search engine which uses timelines to browse search results. More specifically, we intend to add a time measure to cluster web page results, by analyzing web page contents, supporting the search of temporal and non-temporal information embedded in web documents.
Language:
English
Type (Professor's evaluation):
Scientific
No. of pages:
5