Hakia is a search engine with meaning. For 2 years nows Hakia has been providing search results based on meaning-match, or semantics, as opposed to Google’s popularity of search terms or keyword matches.
The company has spent millions and built two trademarked tools, QDEX (Query Detection and Extraction) and SemanticRank Algorithm, which use fuzzy logic, computational linguistics and math to allow the engine to perform these semantic analyses of Web pages and arrive at meaning-based search results.
For example, Hakia claims it can bring results using equivalent terms. When I entered “running” I got plenty of “running” results, plus some “walking” entries. Debatable how consistently relevant the equivalent terms are.
But there’s something I like better. For short queries, like a word or two, Hakia categorizes your results into Web, Galleries, Credible sources, Pubmed, News, Blogs, Twitter, Wikipedia, Images, and Videos.
You would have to run as many individual searches in traditional indexing search to arrive at such a volume of categorized results. So it’s not just different, it’s faster.
The knock on Hakia, ironically, is that it’s slow. But since it’s doing ten times the searches of a normal query in Google, the speed is actually relative.
Here’s a blog from Hakia’s own site which goes into the differentiating details.
Give it a go here. It’s a cool engine.
If only the name “Hakia” lent itself more readily to being a verb.