Semantic Query on Materials Data Based on Mapping MatML to an OWL Ontology

Data Science Journal

Changjun Hu¹  Xiaoming Zhang¹  Huayu Li¹ 

[1] School of Information Engineering School, University of Science and Technology Beijing

关键词: NRC-CISTI;    OWL Ontology;    Semantic query;    Materials data;    Domain data engineering;   

DOI  :  10.2481/dsj.8.1

学科分类：计算机科学（综合）

来源: Ubiquity Press Ltd.

【 摘 要 】

References(36)MatML plays an important role in materials data applications while structure-aware query techniques (e.g., XPath and XQuery) are used to search the content of MatML. However, both XPath and XQuery cannot efficiently retrieve sets of MatML on a conceptual level. In this paper, we propose an approach to transform MatML-based materials data into an OWL ontology. As such, materials data can then be explored in a more semantic way. The proposed method formally defines a set of rules to extract the corresponding OWL ontology (named MatOWL) from a given MatML schema. The instance transformation from MatML to MatOWL is implemented with the help of an intermediate object model. The algorithm for instance transformation is also given. Further, MatOWL can be mapped to other ontologies with logic rules to provide more semantic context for domain experts, and more materials knowledge can be obtained by reasoning on the OWL ontology. An experimental prototype demonstrates the effectiveness of our proposed approach.

【 授权许可】

Unknown