基于数据本体的科学数据语义化组织研究

Study on Scientific Data Ontology Construction

[目的/意义]数据驱动的科研时代,科学数据的重要性越来越高,有效组织科学数据,便于科学数据被科研人员复用和利用计算机进行二次开发,对科学研究具有重要意义。[方法/过程]利用专家调查法确定科学数据本体的概念、属性和描述科学数据的元数据模型,在领域专家的参与下构建科学数据本体,将科学数据组织于一个由相关概念组成的知识环境中。[结果/结论]利用数据本体组织科学数据,使科学数据在内容上更加丰富,在表现形式上更易于被计算机所理解,通过对构建基于数据本体的检索实证表明其检索结果能够利用推理功能提高检全率,并便于以可视化的形式展示检索结果。

[Purpose/significance ] In the era ofdata driving research, the scientific data plays amore and more importance role. How to effectively organize scientific data, and make the data easy to be reused, and using computer for secondary development, has become significance in the scientific research.[ Method/process ] Using the expert investigation method to determine the scientific data ontology concepts, attributes and description of scientific data metadata model, and building scientific data ontology by the experts participating, then organizing the scientific data in a knowledge environment. [ Result/conclusion] Using scientific data ontology to organize the data, make scientific data in the content more rich, in forms of more easily to be understood by computers, through the construction based on ontology data retrieval empirical evidence shows that the retrieval results using the inference function to improve the detection rate, and easy to visually display search results .