Abstract
The integration process of the various information in various database types require a thorough understanding to carry out data extraction process. The data extraction process here is in terms of the scheme and the structure for scattered and distributed locations. The Spatial Information Databases Integration Model (SIDIM) is a model which covered the integration processes such as pre-integration, scheme comparison, algorithm development process and intermediary software (middleware) and post-integration. Emphasis are administered in algorithm development by using hybrid approach based on CLARANS approach’s, combination with abstract visualization and Catch Per Unit Effort (CPUE) to enable to achieve processed data or information that is located in different database type in order to obtain data in quick, trusted and reliable manner. SIDIM will become a new engine to process information in various database types without changing any of existing organization system. To verify the model credibility, case studies which are related to fishing industry in Malaysia and artificial reef project are being made as a foundation for SIDIM efficiency testing.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Parent, C., Spaccapietra, S.: Issues and approaches of database integration. CACM 41(5), 166–178 (1998)
Patrick, Z., Klaus, R.: Three decades of data integration-All problems solved? In: IFIP Congress Topical Sessions 2004, pp. 3–12 (2004)
Parent, C., Spaccapietra, S., Dupont, Y.: Model independant assertions for integration of heterogeneous schemas. Very Large Database Journal 1, 81–126 (1992)
Elmasri, R., Navathe, S.: Fundamental of Database System, 5th edn. Addison Wesley (2006) ISBN: 0321369572
Mustafa, M., et al.: GIS spatial data visualization tools for artificial reefs distribution. In: Proceeding of The 3rd International Conference on Mathematics and Statistics (ICoMS-3), pp. 25–38 (2008)
Mustafa, M., Yazid, M.S.M., Aezwani, W.A.B.W., Zaidi, Z.M.: SPI: Productive Software for Fish Landing Data Collection by Using Wireless Mobile Technology. In: Proceeding 1st Regional Conference On Human Resource Development (RESERD 2008), Primula Hotel, Kuala Terengganu, January 14-15, pp. 45–53 (2008)
Bowen, J.: Formal Specification and Documentation using Z: A Case Study Approach. Thomson Publishing (2003)
Raymond, T.N., Jiawei, H.: CLARANS: A Method for clustering objects for Spatial Data Mining. IEEE Transactions on Knowledge and Data Engineering 14(5), 1003–1015 (2002)
Ismail, W., Joseph, K.S.: Future IT trends for GIS/Spatial Information Management. Scientific Research and Essay 5(10), 1025–1032 (2010)
Stephans, A., MacCall, A.: A multispecies approach to sub setting logbook data for purposes of estimating CPUE. Journal of Fisheries Research, 299–310 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Man, M., Rahim, M.S.M., Zaidi Zakaria, M., Wan Abu Bakar, W.A. (2011). Spatial Information Databases Integration Model. In: Abd Manaf, A., Sahibuddin, S., Ahmad, R., Mohd Daud, S., El-Qawasmeh, E. (eds) Informatics Engineering and Information Science. ICIEIS 2011. Communications in Computer and Information Science, vol 254. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25483-3_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-25483-3_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25482-6
Online ISBN: 978-3-642-25483-3
eBook Packages: Computer ScienceComputer Science (R0)