A Study On The Ontology-based Heterogeneous Database Query System

With the development of information technology， more and more enterprises begin tocontribute information systems to increase the operation and management efficiency.However，the databases all the information system used to store and manage information areusually heterogeneous. This heterogeneous mainly for naming conflicts， format conflicts，structural conflicts， data conflicts and semantic conflicts.Heterogeneous database within theenterprise divide data into different parts， so that the data is difficult for integrationapplication at the whole enterprise level. Many businesses or organizations begin to developdifferent solutions for the problem， but many of the solutions are just solute a particularaspect of the database heterogeneous. The development of ontology and related technologiesprovide a new direction for information integration of heterogeneous database.Ontology can make a precise definition of specific areas concept， the relationshipbetween concept， and the corresponding description，which could solute the heterogeneityat a semantic level.In this paper， I design a ontology-base global query system for heterogeneousdatabases.The key technology for the query system contain the part ontology building formrelation database， the integration of part ontology， resolution of global query and thetransformation from SPARQL to SQL. The system provides an enterprise-class globalperspective， shielding the heterogeneity between the various local database to achieve aunified query and integration of corporate information.