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.

Big Data Evolution Monitoring Service of the Science and Technology Public Opinion in Self-media

“…After 2010, service platform as a supplement of library and digital library can track the countries and international organizations which have developed technology or special advantages in the target filed, it can also monitor strategies, plans and initiatives, and important polices, projects, layout and progress, including the forefront of science and technology and development trends [8]. For example, it is forward-looking that the Strategic Technology Roadmap ("STR") provided by the Japanese Ministry of Economy has become an important technical strategy document for Japanese government to guide the layout and investment in major industrial technologies, Japanese called it as "Bird' s eye Roadmap" [3].…”