Research on Ontology-based Coal Scientific Data Integration Model
Yingjun Zhang · Microcomputer Information · 2010
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 XML-DTD technology can solve the above problem better. This paper analyzes the characteristics of gas accident of the coal field,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 data of it flexible and diverse,describing the meaning of 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.