摘要
语义检索技术有别于传统的基本文本的检索方式,它通过为信息添加语义而使其能够被计算机理解,从而实现检索的智能化.本文通过对新浪微博数据进行分析,设计合适的资源描述框架(Resource Description Framework,RDF)结构,将其转换成富含语义关系的RDF格式,利用Virtuoso实现微博RDF数据的存储,并在此基础上设计实现基于微博数据的语义检索系统.
Different from traditional search methods based on text, semantic_based search provides a methodology to accomplish intelligent search by annotating information with se_mantics so that it can be “understood” by computers. In this paper,after analysis on Sina weibo data, we design a suitable RDF ( Resource Description Framework ) Schema and translate the data into RDF datasets. We leverage the use of Virtuoso to store the RDF graphs,based on which a semantic search engine for weibo data is established.
出处
《南华大学学报(自然科学版)》
2014年第4期56-60,共5页
Journal of University of South China:Science and Technology
基金
湖南省教育厅优秀青年基金资助项目(14B153)
衡阳市应用基础研究基金资助项目(2014KJ15)
南华大学校级启动基金资助项目(2013XQD07)
南华大学创新团队建设基金资助项目(NHCXTD16)
关键词
微博
RDF
知识表达
语义检索
Weibo
RDF
knowledge representation
semantic search