吉林大学学报（信息科学版）2017，Vol.35Issue(6)：670-677,8.
数据质量约束规则的本体描述及推理研究
Research on Ontology Description and Reasoning of Data Quality Constraint Rules
摘要
Abstract
In order to solve the semantic complexity description and rapid extraction of constraint rule in data quality,the ontology was introduced to describe the semantic relation of constraint rules of data quality and other factors.The idea of meta-ontology is proposed, the core vocabularies of data quality domain are refined, and according to relevant standards, a meta-ontology which is independent of domain is constructed.A specific domain can instantiate the meta ontology model into a quality ontology to describe the data in the domain as needed,which solves the problem of lexical sharing and explicit description in the field of data quality, and makes the problem of data quality complex constraint rule semantic description to be resolved.Finally,based on the data of the oil field, the quality ontology model of the oil field is defined according to the proposed mass ontology meta-model,and the reasoning rules are defined.Based on the Jena reasoning machine,the rationality of the constructed data quality ontology is verified, which greatly improves the efficiency of constraint rule extraction in data quality assessment.关键词
数据质量/数据质量约束规则/元本体/Jena推理Key words
data quality/data quality constraint rules/meta ontology/Jena reasoning分类
信息技术与安全科学引用本文复制引用
袁满,谢兰,张晓冉..数据质量约束规则的本体描述及推理研究[J].吉林大学学报（信息科学版）,2017,35(6):670-677,8.基金项目
东北石油大学国家基金培育基金资助项目(2017PYYL-06) （2017PYYL-06）
