摘要
【目的】针对德温特专利数据设计并实现语义完整、性能良好的专利语义知识库。【应用背景】专利语义知识库用于存储专利数据以及各项数据之间存在的语义关系,使得人们可以通过语义关系对专利进行检索。【方法】通过分析德温特专利数据所含及其之间的语义关系,改进基于本体的专利语义表示方法,提出基于属性图模型的德温特专利图数据模型,并使用Neo4j图形数据库存储实例化的专利数据。【结果】以云计算技术为例,构建专利语义知识库,该知识库保证了语义信息完整,在较大数据量的情况下,查询速度可达到传统关系型数据库的5.35倍。【结论】基于图形数据库的专利语义知识库有着信息完整、语义清晰、性能良好等特点,是一种稳定且高效的专利数据组织与存储方式。
[Objective] Design and implement a semantic knowledge management system lbr the Derwent patent data. [Context] The proposed system collects the patent data as well as the semantic relations among them. It could retrieve patent information with semantic relation. [Methods] First, we analyzed the Derwent patent data and the semantic relations among the data. Second, we modified the method of patent semantic representation based on Ontology. Third, we proposed a Derwent patent graph data model based on property graph model. Finally, we used the Neo4j graphic database to store the instantiated patent data. [Results] We built a semantic knowledge management system using cloud computing technology patents. The new system showed stronger semantic integrity and faster retrieval speed than traditional ones. [Conclusions] The proposed patent semantic knowledge management system offers stable and efficient solutions for organizing and storing patent data.
出处
《现代图书情报技术》
CSSCI
2016年第12期66-75,共10页
New Technology of Library and Information Service
关键词
专利信息
语义关系
知识库
图形数据库
Patent information Semantic relation Knowledge base Graph database
