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

页码：147 / 151

页数：5

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