Incremental Data Uncertainty Handling Using Evidence Combination: A Case Study on Maritime Data Reasoning

被引：1
|
作者：
Habib, Mena [1 ]
Wanders, Brend [1 ]
Flokstra, Jan [1 ]
van Keulen, Maurice [1 ]
机构：
[1] Univ Twente, Chair Databases, POB 217, NL-7500 AE Enschede, Netherlands
来源：
2015 26TH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS (DEXA) | 2015年
关键词：
D O I：
10.1109/DEXA.2015.45
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Semantic incompatibility is a conflict that occurs in the meanings of data. In this paper, we propose an approach for data cleaning by resolving semantic incompatibility. Our approach applies a dynamic and incremental enhancement of data quality. It checks the coherency/conflict of the newly recorded facts/relations against the existing ones. It reasons over the existing information and comes up with new discovered facts/relations. We choose maritime data cleaning as a validation scenario.
引用
收藏
页码：147 / 151
页数：5
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