一种基于本体的异构数据语义抽取方法

针对领域科学数据异构多样、缺乏语义的问题，本文提出一种基于本体的异构数据语义抽取方法。首先，构建领域科学数据的语义抽取框架，并在此基础上分别针对结构化、半结构化以及非结构化数据制定相应的语义转换与抽取规则，形成局部领域本体；然后，通过异构数据间的关联映射，构建领域数据的全局本体，实现异构数据的有效组织与统一管理；最后，将相关方法应用到材料领域，为材料科学数据的有效管理与共享服务提供支撑。

An Ontology-based Semantic Extraction Method of Heterogeneous Data

For the issues of heterogeneous and lack of semantics about scientific data, this paper proposes an ontology-based se- mantic extraction method of heterogeneous data. Firstly, we construct the semantic extraction framework of scientific data, and on this basis, respectively formulate the corresponding semantic conversion and extraction rules for the structured, semi-structured and unstructured data, thus form the local domain ontology. Secondly, we construct the global ontology of domain data through the association mapping, and then achieve the effective organization and unified management of heterogeneous data. Finally, we ap- ply the related method to the field of materials, and realize the effective data management and sharing service in the field of mate- rials.