一种基于本体的异构数据语义抽取方法

摘要

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。%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.