Semantically enabled academic paper sharing used in a seminar course

Abstract

Knowledge sharing is the main activity of knowledge management and it enables the concept of collective intelligence. Social platform as Web 2.0 allows users to easily share information in online communities. However, most shared information is represented in unstructured format so that it impacts to effective information usage (i.e. low search precision, lack of intelligent way of information usage). Semantic web technology makes it possible to address the above problems by including the meaning to the information. Furthermore, information could be represented in a machine readable format. This offers potential for development of mechanisms to enhance the precision of search and provide information recommendation to users. This paper proposed a knowledge-sharing system used for enabling effective academic paper sharing used in a seminar course. Ontology is a knowledge model for describing user profile and seminar paper information. Its vocabulary was used as metadata for annotating information. Semantic search engine and recommendation engine were implemented to support students on seminar paper usage. The user evaluation found that the system reaches the high level of satisfaction for recommendation capability and system's value added. In addition it also reaches the highest satisfaction for retrieval effectiveness.