NERMAP: Collaborative Building of Technological Roadmaps Using Named Entity Recognition

In the process of creating a Technological Roadmap, a large amount of data must be analyzed, and future events may be spread across several document databases, making it harder to researchers retrieve all future events described in these publications in a timely fashion. Technology Roadmapping is a time-consuming and error-prone method that usually requires a group of experts to be properly executed. This work presents NERMAP, a collaborative system capable of semiautomating the Technology Roadmapping process, through the Named Entity Recognition method. The evaluation showed that NERMAP is capable of retrieving up to 83% of future events in documents. Furthermore, the system was also able to identify some future events that our validation team missed. By using the system, researchers can perform the analysis in considerably less time, thus reducing costs. Therefore, the proposed system enables a small group of researchers to analyze a large number of documents in a short time, streamlining their ability to identify, process, and analyze information in the form of roadmaps.