金属材料科学数据语义集成关键技术研究

项目名称： 金属材料科学数据语义集成关键技术研究

项目编号： No.51271033

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 一般工业技术

项目作者： 赵冲冲

作者单位： 北京科技大学

项目金额： 80万元

中文摘要： 材料数据作为科技发展和重大工程的重要基础，其集成和共享具有重大意义。但材料数据的分类多样、关联复杂、分布异构等特点给数据集成带来巨大挑战。本项目以金属材料数据为研究对象，探索材料数据语义集成中的语义模型、语义映射和语义查询问题。研究内容包括：(1)探讨实现语义集成所需要的功能元素，形成语义集成框架和方法；(2)对金属材料的基础特性、结构与成分、加工工艺、应用性能、数据起源和分类方法等要素进行分析和抽象，探索核心概念及其关联的抽取方法，基于本体和逻辑规则构建语义模型；(3)研究语义模型与数据源间的映射方法，结合金属材料领域知识的约束，构建语义映射策略和计算方法，改善映射质量和效率；(4)通过抽取金属材料领域的主要查询模式并建立查询概念扩展模型，构建具备领域特点的语义查询机制。通过应用案例验证所建模型和算法的有效性。本研究将进一步丰富材料信息学的方法和理论，对材料领域的研究和应用具有重要意义。

中文关键词： 金属材料数据；语义模型；语义映射；语义查询；材料本体

英文摘要： Materials data is an important foundation for the development of science and technology as well as key projects, so the integration and sharing of materials data is of great significance. However, due to the characteristics of classification diversity, complex relationship, distributivity, heterogeneity, etc, materials data integration faces great challenges. This research is oriented to metal materials data, and discusses the key issues such as semantic model, semantic mapping and semantic query in semantic integration. The main research contents are as follows: (1)The functional components for the semantic integration in materials science will be discussed so that the framework and method will be constructed.(2) Based on the analysis and abstraction of the key factors in materials science data such as properties, structure, processing, performance, data provenace, classification, etc, we will explore the method for extracting main conceptions and their relationships, and then build the semantic model for metal materials data.(3) The strategy of mapping between the semantic model and materials data sources will be investigated by employing the knowledge in metal materials domain. The mapping method and algorithms will be designed to improve the mapping quality and effeciency.(4)We are going to extract query pa

英文关键词： metal materials data；semantic model；semantic mapping；semantic query；materials ontology