Information Audit Based on Ontology

被引：0
|
作者：
Guimaraes, Francisco Santana [1 ]
Quaresma, Paulo [1 ]
Caldeira, Carlos Pampulim [1 ]
机构：
[1] Univ Evora, Dept Informat, Evora, Portugal
来源：
2015 10TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI) | 2015年
关键词：
Business Intelligence; Information Audit; Metadata; Ontology; Semantic Web; Data Lineage; Data Discovery; Data Governance; Natural Language Processing;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Information Audit use methods and CAATTS (Computer-Assisted Audit Techniques) to capture, analyze and evaluate organizational information assets, in regular or continuous basis. However, does not exist a widespread adoption of CAATTs and the CAATTs normally does not use a kind of model that allows to capture the structure and semantic of information as part of the data capture process to audit. Based on this problem, this article focuses on the domain Ontology and Metadata used in Data Governance concepts and Data Lineage for its application to Audit Information.
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页数：7
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