Searching for something today on the Web will usually return reasonable results. But what if a system was given more information, such as context, for the search? Motif is a retrieval system that attempts to answer a search query based on knowing the context of the search. Motif – which is built around Wikipedia – lets users search for Wikipedia articles. Along with their query, users are asked to provide context for the query.
Motif was created by the Search Technologies group.
Its fine!!! Well but what if the person knows nothing about the context, then whats the use of Motif coz one word can be present in so many articles.Its also gives wrong articles for some words like 'the'.Loading the wiki page takes a hell lot of time plz try and work on that its really tiresome and irritating to wait. Overall its a fine application with some changes it can be good.Comment by Vaishnavi Nalawade (December 15, 2009, 7:11 am)
Tryed it with a difficult word : Fillet . I was aiming at "http://en.wikipedia.org/wiki/Fillet_(mechanics)" I first added a category : Engineering. That did not help the correct meaning I found the above reference in "nutrition" !!!, with the word Fillet (mechanics) . Next I added "mechanical engineering" , it still appeared only in nutrtion , while the nearby term "chamfer" appered in the new category. I suggest you have a look at this test , since the word is so ambiguous -you get Tbone steack in the Engineering category :-) carry onComment by Prof Michel Bercovier (February 10, 2010, 6:37 am)
1) for search query 'jaguar' - same link 'jaguar cars' appeared in two categories a) cars b) natural environment 2) for 'apple' both fruit link and apple inc link appeared in nutrition category! 3) similarly for 'sun' - sun micro systems appeared in clothing sectionComment by Shanky (August 25, 2010, 12:32 pm)