Ontology Combined Based on the Social Network Information

Abstract

With the wide application of Web2.0 and SNS(Social Networking Systems), the scientific research activities in academic social networks are increasingly favored by scholars. Academic social networks not only create a new collaborative environment for scientific research, but also provide academic researchers with a convenient way to obtain the required information, share academic resources, seek partners, and do real-time communication. On the platform, discipline classification information is the foundation of information retrieval and recommendation function. A discipline (or specialism) is a knowledge or concentration in one academic field of study or profession. In the application, we can use the ontology to describe the concepts and the hierarchy of the discipline. Using discipline ontology reasoning is an effective way to realize the academic information retrieval and recommendation. In this paper, we extend our approach to use academic social networks resources for proposing a method of ontology integration. Specifically, we also use the information from papers, books to extract relevant information to find contact between discipline ontology. First of all, we constructed a matrix to save the relation. Secondly, using a table to save the interdiscipline information. Lastly, combining the multiple disciplines ontologies in a flexible way.