CUIL vs Google

p2pnet news » Blog Archive » CUIL vs Google: "“Rather than assigning priority to pages based on inbound links as Google does (”Pagerank”), Cuil analyzes the content of Web pages to divine their relevance to a search query. Costello bristled when I asked if this was a semantic search engine like PowerSet (recently sold to Microsoft). Costello said Cuil’s search is ‘contextual,’ and that, ‘we’re trying to understand the real world, not the Web’.”
Cuil claims to have better search results than Google and others, “based on how they index websites,” says TechCrunch, going on:
“They do not simply catalog keywords on a site and then rank the site based on its importance. They also work to understand how words are related (France - cheese - wine, for example), to return more relevant results to users. This is a semantic approach to search, but very different from Powerset’s natural language approach.”
Powerset, “uses artificial intelligence to try to understand what sentences on a website actually mean” but Cuil, “simply tries to properly categorize and file a web page, even if the category name doesn’t appear on the site.”"

Semantic Search Arrives at the Web

Semantic Search Arrives at the Web: "Semantic search has attracted a lot of attention in the past year, largely due to the growth of the semantic web as a whole. The term semantic search itself is popular enough to be considered overused. The term refers to searching large semantic web datasets, which is a typical problem for semantic web search engines such as Swoogle, Sindice, SWSE, Falcon-S, and Watson. The term also refers to methods of searching web documents beyond the syntactic level of matching keywords. This article discusses semantic search in this second sense." (Article by Peter Mika @ Yahoo)