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Hakia
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Note! Defining Semantics, NLP, LSI and AI
Cognition has both parsing and semantic NLP. Recent entrant into the semantic NLP field, Powerset, has built its technology on a parsing foundation, with very little semantic knowledge. Hakia, another semantic technology company, ...
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Hakia Wiki
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hakia, This article needs additional citations for verification. Please help improve this article by adding reliable references. Unsourced material may be challenged and removed. (May 2008) hakia is an Internet search engine. The company has invented QDEXing technology, an alternative new infrastructure to indexing that uses SemanticRank algorithm, a solution mix from the disciplines of ontological semantics, fuzzy logic, computational linguistics, and mathematics. Founded in 2004, the company is privately held and based in New York City. hakia was founded by Riza Berkan, a nuclear scientist by training with a specialization in artificial intelligence and fuzzy logic, and Pentti Kouri, a New York-based economist and venture capitalist. Professor Victor Raskin, a father of ontological semantics and noted international authority in the field of computational linguistics, serves as hakia's scientific advisor. Members of its board include former Senator Bill Bradley, Pentti Kouri, Riza C. Berkan, Ryszard Krauze, Anuj Mathur, Murat Vargi and John Grzymala. hakia has raised $21 million
[1] from private equity investors.
[edit] See also List of search engines
[edit] References ^ Hakia Raises $2 Million for Semantic Search (HTML). Hakia Raises $2 Million for Semantic Search. Retrieved on 2007-12-03.
[edit] External links hakia.com Victor Raskin's homepage This article about a search engine website is a stub. You can help Wikipedia by expanding it. Retrieved from "http://en.wikipedia.org/wiki/Hakia" Categories: Internet properties established in 2004 | Companies based in New York City | Global internet community | Internet search engines | Search engine website stubsHidden category: Articles needing additional references from May 2008
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