Why Your Enterprise Needs a Semantic Search Tool

Semantic search is one of the fastest emerging technologies in the world of search. With it, it becomes possible for enterprises to find out what’s hidden within the unsurmountable volumes of unstructured data. What makes it more challenging is the fact that this unstructured data cannot be analyzed using the traditional methods of search. Before the advent of this technology, enterprises had no choice but to ignore the potential of such large volumes of data.

However, the scenario has changed with the advent of advanced enterprise search tools powered by semantic search. 3RDi Search is one such tool that offers a complete suite of text analysis services. Another example is Commvault, which also offers enterprises the capabilities required to analyze unstructured data successfully.

What Makes a Semantic Search Tool Different

It is different from the traditional keyword based approach because it focuses on the meaning of the users’ query and fetches results accordingly, instead of fetching results blindly using a keyword match alone. In other words, it creates a list of synonyms of the query according to its context, and then uses them to fetch relevant results. Hence, it becomes easier to get more relevant results with semantics, as it focuses on the user intent and the context of the query. It bridges the gap between the user intent and the results fetched. This significantly increases the scope of search and makes it possible to bring out information from unstructured data.

The Benefits of Using a Semantic Search Tool

Benefit #1: The fact that semantic search makes it possible to analyze unstructured data, opens the windows to new possibilities as the unstructured organizational data holds within it deep insights that can help a business make insightful business decisions.

Benefit #2: The semantic search tools today have built-in Natural Language Processing capabilities, which gives these tools to comprehend, analyze and process queries in the language used by humans. This is an area that is currently experiencing a lot of breakthroughs and the future holds a lot in store

Benefit #3: Artificial intelligence is another technology that drives semantic search, as the tools used today are able to understand the intent of the users when they post a query, and this has the potential to change the way machines display intelligence, and in the enterprise search context, this can significantly enhance the user experience.

Benefit #4: With a semantic search tool, the search relevancy is drastically improved and the noise is eliminated to a great extent. In other words, the users are only provided with the most relevant results and the results that don’t match the context of the query are eliminated. This makes the search process seamless, as the uses can get the results they’re looking for, in the shortest time.

Benefit #5: As the insights hidden within the unstructured data is revealed, it can help businesses take insightful and informed decisions that can positively affect the growth of the business. This is known as strategic decision making and is one of the biggest reasons businesses are investing in semantic technology. After all, it is the era of Big Data and data-driven decision making is the need of the hour.

The future holds even bigger possibilities for semantic search technology and it will only get bigger. Today, there are machines that can understand user intent effectively and this will only get better and better. The more advanced tools of tomorrow might redefine the way users interact with an enterprise and bridge the gap between an enterprise and its users. The scope will only get bigger and better with time.