5 Reasons a Semantic Search Tool Helps in Scientific Research

One of the biggest realities today is the ever increasing volumes of data. In other words, we’re living in the age of Big Data and it is data that drives enterprises and businesses across the globe today. Add to it the fact that the data is not of a single type or from a single source, makes it all the more complex when it comes to analyzing and deciphering the meaning of this data. Needless to say, this is a challenge enterprises are facing today. To make it easier for enterprises to analyze the unsurmountable volumes of data, several new technologies have evolved that aim at analyzing the data in a more streamlined way. Semantic search technology is one of them and it has proved to be immensely beneficial in helping enterprises analyze unstructured data.

What makes semantic search tools really effective is the fact that it analyzes the data on the basis of similarities in meaning, which drastically increases the scope of enterprise search. However, the enterprises are not alone when it comes to waking up to the benefits of semantic technology. In fact, every data intensive domain can benefit from it and scientific research is one of them. Hence, you have advanced enterprise search tools powering research platforms. 3RDi Search is, for example, an enterprise search tool that powers ResearchNet, a platform for biomedical researchers. This article looks into the 5 reasons scientific research can benefit from semantic technology.

1] Increased Productivity

One of the primary advantages of using a semantic search tool in scientific domain is the resulting increase in productivity of the people working on a project. This happens because with semantic technology, they are able to find more accurate results in less time, which enables them to get more work done in less time, and that too with improved accuracy.

2] Improved Monitoring of Resources

With a software powered by semantics, it becomes easier for researchers to keep track of the updated information in the scientific resources, such as journals and scientific papers. This is because information retrieval is quick and also highly accurate, which makes the monitoring process more precise.

3] Enhanced Understanding of Market Trends

Since semantic search tools help scientists find information quickly and more effectively, it can be used to keep a tab on the market trends and all the latest information about a specific domain. Scientists may find this a great way to stay updated on patent filings and the progress in the findings in a specific field.

4] Increased Early Phase Research Possibilities

Access to all the relevant information out there can open the possibilities for scientists to stumble upon subjects they were not aware of earlier. Thus, with a semantic powered software, scientists are offered the possibility of early phase research.

5] Simplified Process of Achieving Breakthroughs

A semantic search tool allows scientists access to a wide range of information that is otherwise not accessible with a simple keyword based tool. With more information at their fingertips, it becomes easier for them to acquire all that they need and this in turn adds speed to the process. Hence, making a breakthrough becomes simplified.

Conclusion

Hence, it can be safely concluded that there are many ways in which a semantic search tool can benefit scientists working on scientific projects. And the fact that there are continuous developments in the world of semantic technology only adds to the possibilities the future holds.