A Semantic Web Based Knowledge Element Integration Model

The development of technology is at very fast speed, so is its polarization. Because the knowledge is more and more professional and the research range is beginning to shrink, the connections between different subjects become more and more difficulty. And the valuable conjunction knowledge is covered by a great deal of information.In order to discover the implicit connections from mutually-isolated literatures, Professor Don R. Swanson who is emeritus at the University of Chicago, put forward a new informatics research method: disjointed literature based knowledge discovery method and relevant software tool——Arrowsmith. Using this method, he discovered some new knowledge in medicine field.Based on the analysis of current research status of study and problems in these aspects, this thesis presents a semantic web based knowledge element integration model——SBKI model.SBKI model is a method model in disjointed literature based knowledge discovery field, and its means is to use knowledge element as the basic unit for knowledge expressing, searching and discovering to instead of the traditional text unit. With knowledge element and semantic web technology, we can build up the knowledge element ontology and integrate the knowledge element of different domain according to the semantic connections. This will help us to discover the implicit connections between mutually-isolated literatures, as we can find out some knowledge element chains with semantic connections. The experiment shows that compared with Prof. Swanson's knowledge discovery method, the SBKI model extend the range of knowledge discovery and also increase the possibility of knowledge discovery.