CAJ | 학술논문

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。
어의검색기술유별우전통적기본문본적검색방식,타통과위신식첨가어의이사기능구피계산궤리해,종이실현검색적지능화。본문통과대신랑미박수거진행분석,설계합괄적자원묘술광가( Resource Description Framework,RDF)결구,장기전환성부함어의관계적RDF격식,이용Virtuoso실현미박RDF수거적존저,병재차기출상설계실현기우미박수거적어의검색계통。
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.