Profiling science and innovation policy by object-based computing

Abstract

Named entities, such as key initiatives, research programmes, scientific strategies and policies, are research objects or objects that are embedded in many web pages of science and innovation institutes. These objects provide important information that can be extracted intelligently from those pages. This paper brings forward an object-based computing method by using objects and their semantic information for profiling science and innovation policies. After extracting the objects and the relationships between them, we proposed an object grid to represent web pages. Objects were transferred into machine-readable knowledge units with rich semantic information. By using computational objects, we judged the intelligence value of web resources and classified policies into more detailed categories, such as strategic plan, research and development, and budget. To test the effectiveness of profiling science and innovation policies by using the object-based computing method, this paper conducted a research profiling experiment system.