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.
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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
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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
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DOI: https://doi.org/10.1007/978-94-007-6359-3_1
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