This exploratory study outlines the rationalization of why Ontology’s taxonomy requires a strong hierarchy, accuracy, and interoperability in order to be used as a successfully re-useable information management system. Finding the relevant information in a plethora of possible resources by bridging the gap between the user’s needs and the resources of the information technology system is the goal that the information management field should find a way to achieve. This study is based on discussions and interviews with a taxonomist, information architect, and information manager, whose discussions were based on the usability and interoperability of the knowledge based information systems. These professional perspectives are necessary as they are the liaison between users and the information technology group. We found that in order for information managers to ensure successful sharing of knowledge across the end users, a common sense language must be issued in order to achieve reasoning for the artificial intelligence system.
The knowledge sharing in a knowledge management process is much affecting generation and distribution of knowledge. Especially, the knowledge distribution is being revitalized with the center of social media service like twitter and library service 2.0 in the knowledge-based IT (Information Technology) environment. The present research analyzed the structure and characteristics of a social network inside an organization that is growing like an organism through self-organization through tools for SNA (Social Network Analysis) and multiple regression analysis of independent variables such as 1) a relationship between social network's structure and knowledge sharing, 2) a relationship between structural holes and knowledge sharing influence of centrality, 3) a relationship between individual ability and knowledge sharing of information technology and work recognition.