Integration Model for Multiple Types of Spatial and Non Spatial Databases

Mustafa Man; Mohd Mohd Rahim; Mohammad Zakaria; Wan Abu Bakar

Signal Processing and Information Technology. First International Joint Conference, SPIT 2011 and IPC 2011, Amsterdam, The Netherlands, December 1-2, 2011, Revised Selected Papers

Research Article

Integration Model for Multiple Types of Spatial and Non Spatial Databases

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@INPROCEEDINGS{10.1007/978-3-642-32573-1_15,
    author={Mustafa Man and Mohd Mohd Rahim and Mohammad Zakaria and Wan Abu Bakar},
    title={Integration Model for Multiple Types of Spatial and Non Spatial Databases},
    proceedings={Signal Processing and Information Technology. First International Joint Conference, SPIT 2011 and IPC 2011, Amsterdam, The Netherlands, December 1-2, 2011, Revised Selected Papers},
    proceedings_a={SPIT \& IPC},
    year={2012},
    month={10},
    keywords={Spatial Information Databases Integration Model (SIDIM) Integration Database CLARANS Model Abstract Visualization Catch per Unit effort (CPUE)},
    doi={10.1007/978-3-642-32573-1_15}
}

Mustafa Man
Mohd Mohd Rahim
Mohammad Zakaria
Wan Abu Bakar
Year: 2012
Integration Model for Multiple Types of Spatial and Non Spatial Databases
SPIT & IPC
Springer
DOI: 10.1007/978-3-642-32573-1_15

Mustafa Man¹^,*, Mohd Mohd Rahim²^,*, Mohammad Zakaria¹^,*, Wan Abu Bakar³^,*

1: Universiti Malaysia Terengganu (UMT)
2: Universiti Teknologi Malaysia (UTM)
3: Malaysian Maritime Academy (ALAM)

*Contact email: mustafaman@umt.edu.my, shafry@utm.my, zaidi@umt.edu.my, aezwani@alam.edu.my

Abstract

Integration process of a various information in various database types requires a thorough understanding to carry out data extraction process in terms of its scheme and the structure. Due to this, a new model should be developed to resolve the integration process of this heterogeneous information in various database types and in various scattered and distributed locations. SIDIM is a model which covered processes such as pre-integration, scheme comparison, algorithm and intermediary software (middleware) development process and as well as post-integration. Emphasis are administered in algorithm development by using hybrid approach based on CLARANS approach’s combination, abstract visualization and Catch Per Unit Effort (CPUE) to enable to achieve the required processed data or information in a quick, trusted and reliable manner. SIDIM will become a new engine to process information in various database types without changing any of the existing (legacy) organization system. To verify this model credibility, the case study related to fishing industry in Malaysia and artificial reef project are being made as a foundation for SIDIM efficiency testing.

Keywords: Spatial Information Databases Integration Model (SIDIM) Integration Database CLARANS Model Abstract Visualization Catch per Unit effort (CPUE)

Published: 2012-10-08

: http://dx.doi.org/10.1007/978-3-642-32573-1_15