Information audit based on ontology

Author

Santana Guimaraes, Francisco Santana ; Quaresma, Paulo ; Pampulim Caldeira, Carlos

Author_Institution

Dept. Inf., Univ. de Evora, Evora, Portugal

fYear

2015

fDate

17-20 June 2015

Firstpage

1

Lastpage

7

Abstract

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.

Keywords

auditing; meta data; ontologies (artificial intelligence); semantic Web; CAATTS; computer-assisted audit techniques; data capture process; data governance concepts; data lineage; domain ontology; information audit; information semantic; information structure; metadata; organizational information asset analysis; organizational information asset capture; organizational information asset evaluation; semantic Web; Bismuth; Business; Metadata; Ontologies; Standards; Unified modeling language; Business Intelligence; Data Discovery; Data Governance; Data Lineage; Information Audit; Metadata; Natural Language Processing; Ontology; Semantic Web;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Systems and Technologies (CISTI), 2015 10th Iberian Conference on

Conference_Location

Aveiro

Type

conf

DOI

10.1109/CISTI.2015.7170596

Filename

7170596