Semantic Search and the Modern Enterprise

In this article, we will be discussing about Semantic Search – perhaps the most talked about term out there! What is Semantic Search? The word semantics stands for ‘meaning’ and this briefly gives an idea of the objective of semantic search. In other words, semantic search is all about analyzing a query to figure out its meaning in reference to the user intent and the context. It is referred to as the essence of something that can be related to study of words and logic.

Semantic Search provides interactive search results by transforming structured and unstructured data into an intuitive and responsive database. In today’s times, artificial intelligence is widely used and soon the search experience will be defined as conversing with a personal assistant designed to help us understand the deeper meaning of our searches.

What is the importance of an effective Semantic Search platform to the modern enterprise? Let’s try to understand this. Semantics is a programming language and computers follow specific semantics of a given program. With the Data multiplying around the globe every year, the goal of businesses today is to provide best user experience. To meet this end, they need a search tool that answers the user’s queries in a more aesthetically pleasing way and also requires the least effort from the user. In other words, the idea of Semantic Search is to offer more relevant results without limiting the search to the keywords.

Let’s understand Semantic Search more in depth. Semantic Search goes beyond the static dictionary meaning of the word or phrase to understand a specific query or context in order to generate more relevant results. Integration of machine learning makes it possible to increase the quality of results. Semantic search is a complex process that involves several steps of analyzing the input query in order to zero in on the most relevant results. Here are the key benefits that semantic search can bring to your business.

• Refines the search query
• Extracts entities as answers
• Predicts search queries
• Personalizes the search results
• Provides a more conversational and dialog /meaning based search result.
• Faceted search

Here are few examples of semantic search

• Conversational queries and results
• Auto correction
• Information displayed by graphics

The Semantic search is affected by many factors and a few of them are given below:

• Location
• User behavior
• Local information
• Time of search
• Historical insights

The Final Word:

Semantic Search provides more meaning to the concept of enterprise search. Needless to say, semantics is the future of enterprise search in particular and search in general. Have you invested in a semantic search tool yet?