Title :
A Model for Dynamic Integration of Data Sources
Author :
Obali, M. ; Dursun, B.
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;
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
DOI :
10.1109/ASONAM.2012.153
