南阳师范学院学报2016，Vol.15Issue(6)：22-26,45,6.
一种面向结构化数据源的语义标注和挖掘方法
A method of semantic annotation and mining for structured data sources
摘要
Abstract
Faced with massive data , structured data sources , as a new form of knowledge representation and pub-lishing, can provide a more precise and comprehensible semantics .To further discover the implicit knowledge contained in structured data source , in this paper , a new semantic annotation and reasoning approach was pres-ented which can discover the latent semantics .Particularly , in view of RDF has become a major tool for descri-bing structured data sources , the properties of the binary relation in RDF triple were analyzed .Based on this , some rules for semantic annotation and reasoning was designed .Further , a novel general semantically-enhanced extension scheme for structured data sources was proposed .Lastly, the test results proved the feasibility of this semantic annotation and mining method .关键词
语义标注/结构化数据源/语义增强型扩展Key words
semantic annotation/structured data sources/semantically-enhanced extension分类
信息技术与安全科学引用本文复制引用
李璞,肖宝,王惠..一种面向结构化数据源的语义标注和挖掘方法[J].南阳师范学院学报,2016,15(6):22-26,45,6.基金项目
河南省基础与前沿技术研究计划项目（102300410110）；广西高校中青年教师基础能力提升项目 （）
