3 Semantic Search Engines To Replace Google
By: Karan Goel | 27th May 2010
Google‘s the God – No one denies the popularity and power of Google when it comes to search.
But there are other ways to search the web, using what are known as semantic search engines. A semantic search engine ensures more relevancy of search results based on its definition than on numbers. These search engines are able to understand the context in which the words are being used, resulting in smart, relevant results.
This is a list of the top 3 search engines to get you started in the world of semantic searching.
Kngine

Kngine’s search results are divided into either web results, or image results. They are preceded by information about the search term, known as ‘Concepts.’ For example, searching for the iPhone 3GS will be preceded by the device’s specs. Searching for a film will be preceded by information about the film, links to trailers, reviews and quotes. Searching for a city will be preceded by information about the city, local attractions, events, weather and hotels.
Hakia

Hakia’s search results are divided into Web, News, Blogs, Twitter, Image and Video, and can be re-listed according to relevance or date. Depending on the search term, results can also include an excerpt from its Wikipedia entry. They also have what are labeled ‘Credible’ results that come from trusted sources.
Kosmix

Kosmix has a start page which is more elaborate than the most of the other semantic search engines listed here – with popular content featured on its front page from Yahoo Buzz, Digg, YouTube, Fark, Flickr, and a ton of other sources, making it a hybrid aggregator and search engine, with results included from Google and Bing.
Search results are divided into Video, Web, News & Blogs, Images, Forums, Twitter, Amazon and Facebook. In the case of some results, such as searching for the iPhone 3GS, you will also find Fix-It and How-To Guides.
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