基于证据组合的增量数据不确定性处理:以海事数据推理为例

2015 26th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2015-09-01 DOI:10.1109/DEXA.2015.45

Mena B. Habib, Brend Wanders, J. Flokstra, M. V. Keulen

{"title":"基于证据组合的增量数据不确定性处理:以海事数据推理为例","authors":"Mena B. Habib, Brend Wanders, J. Flokstra, M. V. Keulen","doi":"10.1109/DEXA.2015.45","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":239815,"journal":{"name":"2015 26th International Workshop on Database and Expert Systems Applications (DEXA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Incremental Data Uncertainty Handling Using Evidence Combination: A Case Study on Maritime Data Reasoning\",\"authors\":\"Mena B. Habib, Brend Wanders, J. Flokstra, M. V. Keulen\",\"doi\":\"10.1109/DEXA.2015.45\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":239815,\"journal\":{\"name\":\"2015 26th International Workshop on Database and Expert Systems Applications (DEXA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 26th International Workshop on Database and Expert Systems Applications (DEXA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DEXA.2015.45\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 26th International Workshop on Database and Expert Systems Applications (DEXA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEXA.2015.45","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

语义不兼容是发生在数据含义中的冲突。在本文中，我们提出了一种通过解决语义不兼容来进行数据清理的方法。我们的方法应用了数据质量的动态和增量增强。它检查新记录的事实/关系与现有事实/关系的一致性/冲突。它对现有信息进行推理，并提出新发现的事实/关系。我们选择海事数据清理作为验证场景。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2015 26th International Workshop on Database and Expert Systems Applications (DEXA)

自引率

0.00%

发文量