大数据环境下学术创新力自动测度知识库分析与构建

Analysis and Construction of Automatic Measurement Knowledge Base on Academic Innovation in Big Data Environment

[目的/意义]构建大数据环境下学术创新力自动测度知识库,为学术创新力测度分析做支持。[方法/过程]以图书情报学相关期刊2008-2018年部分论文为数据源,使用本体建模的方法构建图书情报学知识本体,结合信息科学领域G3(科学、科学研究类)相关论文构建的本体,按照软件工程规范进行相关分析和设计,确定存储方案和存储结构,采用MySQL数据库来存储数据。[结果/结论]最终成功构建学术创新力测度知识库系统,并提供必要的知识库查询相关接口。[局限]由于时间关系和对图书情报学领域缺乏系统深入的了解,文章所构建的本体在属性关系方面进行了简化,导致实际使用效果会受一定影响。

[Purpose/significance]Construct a knowledge base of automatic measurement of academic innovation in the context of big data,and support the measurement of academic innovation.[Method/process]Take the papers of the journals in 2008-2018 as the data source,use the ontology modeling method to construct the ontology of library and information science,and combine with the ontology of G3(science,scientific research)related papers.Then,analysis and design the storage scheme and storage structure according to software engineering,and use the MySQL database to store data.[Result/conclusion]Build an academic innovation knowledge base system and provide the necessary knowledge base query related interfaces.[Limitations]As time limited and lack of systematic and in-depth understanding of the field of library and information science,the ontology constructed in this paper has simplified the attribute relationship,which might affect the practical application.