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.

Key words:  data quality, meta ontology, data quality constraint rules, Jena reasoning