Based on Entities Behavior Patterns of Heterogeneous Data Semantic Conflict Detection

摘要：

　　As the sources of data become more and more diversified, the importance of data conflict detection is emerging.We are committed to research a new method,through the use of behavior pattern detection of heterogeneous data semantic conflict.We find that the structured data which can represents the behavior of an entity contradict from the reality behavior of the entity which can be got from unstructured text, which is often referred to as pattern conflict.So in this paper, we convert the structured data with semantic into data-converted event.Combine them with the text event extracted from unstructured text, according to the relation between entities;get a large event graph G.Find the common conflict pattern through frequent sub-graph discovery on graph G.Then use the common conflict patterns to detect conflict data.The experiment shows that our method can detect the conflict data effectively with a high recall.

关键词： data conflict detection frequent sub-graph mining heterogeneous data sources event

作者: Haiyang Zhang Zhongmin Yan Chenfei Sun Song Wei

作者单位: Computer Science and Technology Shandong University Jinan, China Shandong Hoteam Software Co., Ltd Jinan, China

会议类型: 国际会议

会议名称: The 12th Web Information System and Application Conference第十二届全国Web信息系统及其应用学术会议(WISA2015)、全国第十次语义Web 与本体论学术研讨会(SWON2015)、全国第九次电子政务技术及应用学术研讨会(EGTA2015)

会议地点: 济南

会议语种:英文

页码: 169-174

在线出版日期: 2015-09-11（万方平台首次上网日期，不代表论文的发表时间）