A semantic search engine is what enterprises need to analyze the large volumes of enterprise data. This article takes a look at the top 5 semantic search engines in 2020. When Big Data is the single biggest factor that is influencing enterprises these days, then the biggest challenge that enterprises are facing today is the large volumes of data that is being collected everyday. This data is so large in volume that it can get next to impossible to analyze this data to derive any kind of meaning. In such a scenario, what enterprises need is a solution that helps them make sense of this large volumes of information that is there in a wide variety of different formats. Interestingly, it’s the randomness of this information that makes it impossible to analyze and search for using any of the traditional methods of data mining. The solution? The semantic search engine saves the day here. Today, enterprises are investing in semantic search engines to make sense of the large volumes of data at their disposal. 3RDi Search is one example of such a platform that is powered by semantic technology, along with NLP, AI and machine learning. Coveo is another example of a text mining tool powered by semantic search. These tools are power-packed with the latest data mining capabilities that the enterprises need today in order to successfully analyze unstructured, random enterprise data to derive key insights from it. 1] 3RDi Search Visit to learn more: www.3rdisearch.com 2] Coveo Visit to learn more: www.coveo.com 3] AddSearch Visit to learn more: www.addsearch.com 4] Search Spring Visit to learn more: www.searchspring.com 5] Inbenta Visit to learn more: www.inbenta.com Source: Free Articles from ArticlesFactory.com Elise Lowry is a technical writer and a web entrepreneur with many years of experience. She regularly blogs about rising IT companies, path breaking IT solutions, current IT trends and much more. Understanding how technology affects the world we live in, is her subject of interest.