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Top 10 Best Semantic Search Engines To Get More Accurate Results
Google is the most popular search engine and used by millions of people every second. Google search engine is dominating from more than decades but from few years its losing control on webmasters that play with keywords and back-linking techniques to make search on first page. Though, Google has started to take measures against the bad SEO techniques and spam oriented results. Let’s see how it will be changed in the future.
If you are too disturbed by useless search in the first page of Google, there are many other ways to do search on the internet. One of them is called Semantic Search engines that works totally different from the traditional search engines such as Google, Yahoo etc. Traditional search engines works on keywords and use ranking algorithms to give results. While Semantic search engine is not dependent on keywords or inbuilt links and depends totally on meaning of the query.
In simple words, the main agenda of Semantic search engine is to identify the actual meaning of the search query that results in more accurate end results to the user. I am using it from quite a long time and I think it can be the next big thing in the market of online search.
If you too want to get accurate results while searching for some information, you can check Top 10 best semantic search engines that I have gathered up for your below.
1. Hakia : hakia is a semantic search technology company. The mission of hakia is to deploy semantic search solutions to meet the challenges of elevated user expectations, business efficiency, and lowest cost. hakia was founded in 2004 and is funded by private institutional and angel investors. Headquartered in Manhattan, New York, hakia has offices and datacenters in Silicon Valley, Maryland, and Tennessee.
3. SenseBot : SenseBot is a semantic search engine that generates a text summary of multiple Web pages on the topic of your search query. It uses text mining and multidocument summarization to extract sense from Web pages and present it to the user in a coherent manner. A “Semantic Cloud” of concepts is displayed above the summary, allowing to steer the focus of the results.