| Summary: | 碩士 === 大同大學 === 資訊工程學系(所) === 100 === As the rapid development of the economy, knowledge has become the competitive asset of an enterprise. In addition, modern people have recognized the importance of the diet and health, which has made a speedy advancement of the health examination industry. However, there are drastic competition, elaborate division of labor, and intensive knowledge in this industry. So the heritance of faculty’s experience and sharing of knowledge are more and more important. Because of the regulations on information security, the professional knowledge and experience cannot be fully shared and preserved in existing system.
Knowledge is an abstract concept, which is hard to define the domain of professional technology. And it makes the management of knowledge more difficult. Fortunately, Semantic technology is increasingly refined in the present time. We can describe the resources of data via the languages which can be understood by the computer. Hence the computer can automatically deal with these resources reliably and exactly.
This research will make use of CommonKADS knowledge engineering and management methodology, focused on the professional technology of the health examination organization, to perform the analysis, development and storage of knowledge. We explore the implicit organizational knowledge explicitly and use the tool of MindMap to make the relevant knowledge graphically, which can analyze the work-up of an organization and retrieve the experience of experts to establish “Domain Ontology” of professional knowledge. In addition, we use the “Ontology Base” established by domain knowledge experts, and use the protege tool, to build up the prototype of knowledge management and make a platform of communication and sharing via Google Calendar.
In this study, we use the existing function of Google Calendar, adding semantic technology, to make technology resources be understood by the computer. This can provide more application and improve the accuracy of knowledge search. Finally, it can lower the cost of organizational knowledge management greatly and improve the recognition of knowledge management.
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