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

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

By: Xiaoming Zhang,  Changjun Hu and  Huayu Li  
Open Access
|Mar 2009

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.
DOI: https://doi.org/10.2481/dsj.8.1 | Journal eISSN: 1683-1470
Language: English
Published on: Mar 23, 2009
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2009 Xiaoming Zhang, Changjun Hu, Huayu Li, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.