Analysis and Implementation of Knowledge Acquisition on Heterogeneous Database Based on Multi-strategy
Jiang Wu · Jisuanji yingyong yanjiu · 2007
To classify a large amount of isolated and no semantic data from heterogeneous database according to correlative field ontology and so that automatically construct knowledge base,a framework basing on ontology and Web services for knowledge acquirement of heterogeneous database was proposed.The mechanism of accessing heterogeneous database by Web services wrapper was given and a Bayesian classifier was designed,heterogeneous data automatically map onto interrelated ontology by using the classifier.This method can classify heterogeneous data automatically by the Bayesian classifier,in a sense,it can realize knowledge acquirement from heterogeneous database interactively.