Incremental Data Uncertainty Handling Using Evidence Combination: A Case Study on Maritime Data Reasoning
2015 26th International Workshop on Database and Expert Systems Applications (DEXA)(2015)
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.
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关键词
Semantic Data Cleaning,Maritime Data,Data Reasoning,Datalog
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