CAJ | 학술논문

　　随着语义网以及信息抽取技术等研究的发展,Web上涌现出越来越多的RDF数据,海量RDF数据的管理,已经成为学术界和工业界研究的热点之一。从RDF数据集形态及RDF数据组织存储两个维度以及查询表述、查询处理、查询优化等方面,深入地分析和比较了RDF数据查询处理方法,并在此基础上提出了未来研究的方向和挑战。
　　수착어의망이급신식추취기술등연구적발전,Web상용현출월래월다적RDF수거,해량RDF수거적관리,이경성위학술계화공업계연구적열점지일。종RDF수거집형태급RDF수거조직존저량개유도이급사순표술、사순처리、사순우화등방면,심입지분석화비교료RDF수거사순처리방법,병재차기출상제출료미래연구적방향화도전。
With the advance of the semantic Web and information extraction techniques, more and more RDF data emerge on the Web. Managing massive RDF data has been a hot research topic for both academic and industrial communities. In the paper, we give a thorough analysis and comparison of the existing techniques from the view of the accumulation and organization of RDF data. Topics on query representation, query processing and query optimization are extensively discussed. We finally identify challenges and future work of the area.