Research and Application on Integration Model of Coal Scientific Data Based on Ontology
In the process of data integration, the traditional methods are difficult to solve the problems, what are the large amounts of data redundancy, faintness of Information representation, heterogeneous data and so on. The combination of emerging technology and XMLDTD technology can solve the above problem better. This paper analyzes the characteristics of gas accident of the coalfield, creating an OWL ontology model for the gas accident-related data. The model describes the gas data and its associated attributes by XML Language, making the its data flexible and diverse, describing data attributes more clearly. At the same time, semantic association rules between the concepts of ontology are described by SWRL language, and derived by Jess engine to get new data and new conclusion on the basis of Meta-data. Thus, In addition to characteristics of the relational model, the model also has the function of semantic inferring. Real-time data based on ontology model is saved into ontology as an entity, relying on semantic reasoning. This method can greatly improve the accuracy and efficiency of gas early warning and ensure the production of coalmine safety.
Data Integration Ontology SWRL Language XML -DTD Association
LV Yue-dong CHEN Li-chao GUO Yong-yi
Institute of Computer Science and Technology Taiyuan University of Science and Technology Taiyuan Sh Institute of Environment & Security Engineering Taiyuan University of Science and Technology Taiyuan
国际会议
International Conference on Computational Aspects of Social Networks(国际社会网络计算会议 CASoN 2010)
太原
英文
583-589
2010-09-26（万方平台首次上网日期，不代表论文的发表时间）