时态RDF数据的不一致性修复和预处理  

Inconsistency Repair and Preprocessing of Temporal RDF Data

作　　者：张燕超 ZHANG Yan-chao(College of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing,Jiangsu 210000,China)

机构地区：[1]南京航空航天大学计算机科学与技术学院,江苏南京210000

出　　处：《计算技术与自动化》2018年第4期133-138,共6页Computing Technology and Automation

基　　金：国家自然科学基金资助项目(61370075)

摘　　要：资源描述框架(RDF)是由W3C提出的开放型数据模型,对语义Web中信息资源的语义表达和描述标准化。语义网的快速发展和RDF的普遍应用,产生大量的时态RDF数据。时态RDF数据的一致性能提高时态RDF数据的准确性,也有助于提高数据库系统的可靠性和高效性,对于时态信息处理也能提供可靠的保证。针对支持有效时间的时态RDF数据存在的不一致性情况,提出了相关的修复算法,对于时态RDF数据实时更新,分析变化操作产生的不一致性并进行了预处理,实验验证了可行性。The resource description framework(RDF)is an open data model proposed by W3C,which describes massive resources in semantic Web,mainly for information resource semantic expression and description standardization.The rapid development of semantic network and the universal application of RDF produce a large number of RDF data containing temporal information.The consistent performance of temporal RDF data improves the accuracy of temporal RDF data,and helps to improve the reliability and efficiency of database system.It also provides reliable guarantee for temporal information processing.Aiming at the inconsistency existing temporal RDF data support the effective time of the proposed restoration algorithm,for updating temporal RDF data,in order to protect the consistency of temporal RDF data,inconsistent changes in operation were pretreated and verified.

关 键 词：时态数据模型 有效时间 时态数据的不一致性 变化操作 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]