Research Papers
Semantic Query on Materials Data Based on Mapping MatML to an OWL Ontology
Authors:
Xiaoming Zhang ,
School of Information Engineering School, University of Science and Technology Beijing, Beijing, 100083, China
School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, 050054, China
Changjun Hu,
School of Information Engineering School, University of Science and Technology Beijing, Beijing, 100083, China
Huayu Li
School of Information Engineering School, University of Science and Technology Beijing, Beijing, 100083, China
Abstract
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.
How to Cite:
Zhang, X., Hu, C. and Li, H., 2009. Semantic Query on Materials Data Based on Mapping MatML to an OWL Ontology. Data Science Journal, 8, pp.1–17. DOI: http://doi.org/10.2481/dsj.8.1
Published on
23 Mar 2009.
Peer Reviewed
Downloads
