A Research on Ontology Modeling for Multi Source Heterogeneous Audit Data

DOI

10.2991/isci-15.2015.335How to use a DOI?

Keywords

database application system; heterogeneous database; information integration; access control; simplified integration

Abstract

In order to solve the problem of semantic heterogeneity in data integration, this paper places emphasis on establishing a good data model in the stage of expressing data. Through the ontology modeling method on audit data integration, we using the method of top-down ontology integration, put forward to the process of building Audit-ontology. This paper constructs the audit domain ontology, defines audit information ontology Audit-ontology, and analyzes the concept and semantic analysis of the audit information,establishes ontology classification framework, and formalized expression by using OWL language. Finally, we connect the ontology to data source.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chunqiang Li
AU  - Weiyan Chai
AU  - Linan Chen
PY  - 2015/01
DA  - 2015/01
TI  - A Research on Ontology Modeling for Multi Source Heterogeneous Audit Data
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 2587
EP  - 2598
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.335
DO  - 10.2991/isci-15.2015.335
ID  - Li2015/01
ER  -