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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Bernstein PA et al. (2004) Industrial-strength schema matching. ACM SIGMOD Rec 33(4):38–43
Chaudhuri S et al. (2003) Robust and efficient fuzzy match for online data cleaning. ACM, New York
Fishman A (2011) Integrating offline data to improve online relevancy. ClickZ marketing news and expert advice. [Online] Incisive interactive marketing LLC 23 03 2011. [Access Date: 17 03 2012.] http://www.clickz.com/clickz/column/2035881/integrating-offline-improve-online-relevancy
Heinecke J (2009) Matching natural language data with ontologies. In: Proceedings of the 4th international workshop on ontology matching, OM-2009, Chantilly, USA, October 25
Khan L, McLeod D (2000) Disambiguation of annotated text of audio using ontologies: ACM SIGKDD workshop on text mining, Boston
Lathrop RH (2001) Intelligent systems in biology: why the excitement? IEEE Intell Syst 16(6):8–13
Lehman MM (1996) Laws of software evolution revisited. In: Proceedings 5th European workshop on software process technology, Nancy, France
Lenzerini M (2002) Data integration: a theoretical perspective. In: Proceedings of the 21th ACM SIGMOD-SIGACT-SIGART symposium on principles of database systems, pp 233–246
Office of Homeland Security, The White House (2002) National strategy for homeland security
Rahm E, Bernstein PA (2001) A survey of approaches to automatic schema matching. VLDB J 10(4):334–350
Shariff AA, Hussain MA, Kumar S (2011) Leveraging unstructured data into intelligent information – analysis and evaluation
Sheth A, Larson J (1990) Federated database systems for managing distributed, heterogeneous and autonomous databases. ACM Comput Surv 22(3):183–236
Sood S, Vasserman L (2009) ESSE: exploring mood on the Web. In: 3rd international AAAI conference on weblogs and social media data challenge workshop
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Obali, M., Dursun, B. (2013). A Model for Dynamic Integration of Data Sources. In: Özyer, T., Erdem, Z., Rokne, J., Khoury, S. (eds) Mining Social Networks and Security Informatics. Lecture Notes in Social Networks. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6359-3_1
Download citation
DOI: https://doi.org/10.1007/978-94-007-6359-3_1
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-6358-6
Online ISBN: 978-94-007-6359-3
eBook Packages: Computer ScienceComputer Science (R0)