A Model for Dynamic Integration of Data Sources

Author

Obali, M. ; Dursun, B.

fYear

2012

fDate

26-29 Aug. 2012

Firstpage

844

Lastpage

849

Abstract

Online and offline data is the key to Intelligence Agents, but these data cannot be fully analyzed due to the wealth and complexity and non-integrated nature of the information available. In the field of security and intelligence, there is a huge number of data coming from heterogonous data sources in different formats. The integration and the management of these data are very costly and time consuming. The result is a great need for dynamic integration of these intelligent data. In this paper, we propose a complete model that integrates different online and offline data sources. This model takes part between the data sources and our applications.

Keywords

data integration; distributed databases; information retrieval systems; security of data; software agents; data management; data security; dynamic integration model; dynamic intelligent data integration; heterogonous data sources; information fusion; intelligent agents; offline data sources; online data sources; Adaptation models; Data mining; Data models; Data structures; Feature extraction; Ontologies; Security; data source; information fusion; infotype; offline; online;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Social Networks Analysis and Mining (ASONAM), 2012 IEEE/ACM International Conference on

Conference_Location

Istanbul

Print_ISBN

978-1-4673-2497-7

Type

conf

DOI

10.1109/ASONAM.2012.153

Filename

6425654