Technologies that Drive New Age Enterprise Search Tools

Semantic Search Tools Redefine the Future of Content

We all are very well aware of the concept of Semantic Search and how it improves the accuracy and relevancy of search by understanding the search context and the user intent. The important definitions here are Context and Intent.

Now let us dig deeper to understand the benefits of an Enterprise Search tool based on semantic search. Such a tool will be based on artificial intelligence to leverage advanced cognitive features in order to understand human intelligence. 3RDi Search , developed by The Digital Group , is keyword good example of an enterprise search tool based on semantic search.

How a Semantic Search Tool Redefines the Search Experience

Here we shall look into the 5 key ways in which a semantic search tool improves the search experience.

Data Mining

Source: https://bit.ly/2SYEqeB

1] One of the biggest benefits of a semantic search tool is data mining which means it analyses unstructured data from multiple sources. The cumulative volume of the data or a large share of unstructured data is from various sources. A semantic search tool integrates data from various sources and analyses it to derive the following insights:

  • Users history
  • Their location
  • Global search history
  • Search characteristics like spelling and other variations
  • Documents that are linked from Domains
  • Co-occurrence of terms
Real Time

Source: https://bit.ly/2Uv9oNd

2] Scalable real-time processing of large volumes of data is an important aspect due to the continuously increasing volumes of data from various sources. However, Semantic Search is a scalable concept and our team of experts at The Digital Group can demonstrate how to implement the state-of-art map matching algorithms in our distributed stream processing pipeline and analyze measured latencies.

Big Data

Source: https://bit.ly/2ESLVyP

3] Analysing Big Data is something that is only possible with a semantic search tool. Data goes a long way in determining the features and functionalities in enterprise search software. The different types of data that can be worked upon to get the outcomes include conversational queries & results, auto corrections, information/data displayed as graphics, and more. In short, it goes beyond the static dictionary.

Data Processing

4] The data is stored and retrieved from various locations through silos and Content Management systems (CMS). Though the information from silos is not considered very secure, the data in the silos needs to be isolated as it's a raw information that hasn't been processed. Processing the data removes duplicate or redundant data. This can be accomplished with an enterprise search tool powered by semantics which is scalable and configured as per the requirement.

NLP

Source: https://bit.ly/2J5Kh26

5] Natural language processing (NLP) is another very useful feature of semantic search engines. Using the natural language lies at the core of Semantic Search. When your audience uses a specific phrase when searching the information, the semantic search tool ensures the results match their language.

So, you see that there are multiple ways in which a semantic search tool can benefit your business. If you're looking for an enterprise search tool powered by semantic search technology, get in touch with us. Our team shall be happy to assist you in overcoming your challenges. Welcome to the world of SEMANTICS with 3RDi Search!

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