摹于本体的知谚{发现丈证研究 Abstract With the deveIopment of the storage and application technology of the database,anterprise data generated during operat ion isalso to increase ingeometric would require massive amounts ofdata to get to meet the specific needs ofdata to provide decision support for enterprise Mining and Knowledge Discovery(KDD)is generated inthis context. The world KI)D was first performed inAugust 1989 in the United States held inDetroit,in the first International KDD defined”KDD”as that is om the data sets to identify valid,novel,potentially useful and ultimately understandable patterns ofnon—trivial process. Acomplete architecture ofknowIedge discovery posited bydatasources,data storage,data mining engine andfront~end tool,inwhich the main contents of the data storage layer isthe data establisbment of adata warehouse is the process ofheterogeneous data integration. but also the foundat ion and core of knowledge discovery. 111e“father”of datawarehouse Inmon proposed a definition widely accepted in his book ”BuiIding theData Warehouse’in 1991:Data warehouse is asubject—oriented,integrated,and relatively stable,reflecting the historical changes of the data set used to support management can be seen from the basic definition of a data warehouse thar subject-oriented isthe most important eIements of the data warehouse,but also the biggest the traditional database that application— of this feature of data warehouse, knowledge discovery has the real zation of the semant characteri stics puter interaction,vhich can be semantic knowledge modeled toallow the data source befound in puter reasoning andjudgments,to plex data sources by data mining and knowledge discovery. Ontology was aconcept originallY derived from the thefield ofartificial intelligence,Grubber of The United States Stanford University Knowledge Systems Laboratory firstly proposed