A Hybrid Similarity Measurement for Complicated and Multi-Source Data in Coal Mine
Zhang Lei · Jiangnan daxue xuebao. Ziran kexue ban · 2007
With the rapid development of automatization,electrification,informatization in coal mine filed,the huge mining data from multi-source,multidimensional and dynamic,can not be depicted by the existing data description ways.Faced to the problem,ontology which originated from philosophy is first introduced into mining filed,and complicated and multi-source data in coal mine are described through the hierarchical tree structure formed by combination of semantic model and numerical description.Then,the similarity of complicated and multi-source data in coal mine is calculated by the hybrid measurement based on semantic and numerical similarity.The multidimensional attributes of mining data are considered in the hybrid measurement,as well as differences of location concepts.Finally,the high accuracy and good resolving power are validated through the experimental results.