Semantifi Envisions A Million Search Engines For Deep Web Data – Semantic Web.
A world of a million search engines – created not by some mega-power but by the community at large, and with the aid of semantic search technologies. That’s the world envisioned by one start-up presenting at DEMO Fall 2010 today.
Semantifi wants to be the power behind those engines. To be clear, Semantifi isn’t encouraging folks to use its engine to create the next Google. Rather, it says it can bring a platform to the community to go beyond what Google does, enabling them to create applications that let others search inside the data sets within the Deep Web that fascinate them, or that they think will be a draw for others, or most likely both. “We think keyword crawlers and [traditional] search doesn’t work for data,” says Shree Pragada, founder and CEO. You may get tons of links delivered that have word matches for a Google search on “California senator earmarks,” but even though that data is out there in the Deep Web, you won’t get a table of results showing who got earmarks for what drawn from searching the data itself.
Using its step-by-step process for uploading a data set, which includes reviewing and confirming the meta-data Semantifi assigns to it, “those who know data and have access to it can very quickly configure a data set to this search engine and share it with the world,” he says. “You locate the data set, define the structure and then publish it as an application that can be free or as a paid application if you think it’s commercially valuable,” Pragada says. Semantifi explains the data structure to its search engine. When users ask natural English-language questions or use keywords on its portal, Semantifi can understand the terms, look for relevant information across published applications, and present to the user the relevant applications that will answer that question. “The platform searches all search applications, then says this is the best way to present [the particular] information,” the CEO
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