CAJ | 학술논문

随着语义Web的发展，RDF（resource description framework）数据量飞速增长，致使其查询问题日益得到关注，已成为学术界研究的热点之一。在研究现有RDF数据查询技术的基础上，考虑了自然语言表达所具有的模糊性或不确定性特点，分析了包含模糊条件的查询方法。从RDF模糊查询、查询处理、查询优化等方面，深入分析和比较了RDF模糊查询方法，给出了现存方法的优点和存在的问题。讨论了采用排序机制及偏好优先度计算的包含偏好条件的RDF模糊查询方法。最后给出了相关工作，并对RDF模糊查询技术进行了展望。
수착어의Web적발전，RDF（resource description framework）수거량비속증장，치사기사순문제일익득도관주，이성위학술계연구적열점지일。재연구현유RDF수거사순기술적기출상，고필료자연어언표체소구유적모호성혹불학정성특점，분석료포함모호조건적사순방법。종RDF모호사순、사순처리、사순우화등방면，심입분석화비교료RDF모호사순방법，급출료현존방법적우점화존재적문제。토론료채용배서궤제급편호우선도계산적포함편호조건적RDF모호사순방법。최후급출료상관공작，병대RDF모호사순기술진행료전망。
With the development of semantic Web, the RDF (resource description framework) is sharply increasing, so the RDF query problem is becoming more and more attention, and has been a hot research topic in the academia. Based on the research on existing RDF data query technology, considering the fuzziness and uncertainty characteristics of natural language expression, this paper analyzes the query method with fuzzy conditions. Then, this paper discusses the topics on RDF fuzzy query, query processing and query optimization, summarizes the RDF fuzzy query methods through the analysis and comparison of existing techniques at home and abroad in detail, and gives the advantages and disadvantages of existing methods. In addition, this paper discusses the implementation method of fuzzy RDF query with preference by using the sorting mechanism and preference degree calculation. At last, this paper gives the future challenge of RDF fuzzy query technologies.