Community Based Open-Source Geographical Classical Data Analysis
Jayapandian N1, Madhavendra Singh Negi2, Samridh Agarwal3, Ajay Prasanna4
1Jayapandian N, Department of Computer Science and Engineering, Christ University, Bangalore, India.
2Madhavendra Singh, Department of Computer Science and Engineering, Christ University, Bangalore, India.
3Samridh Agarwal, Department of Computer Science and Engineering, Christ University, Bangalore, India.
4Ajay Prasanna Y, Department of Computer Science and Engineering, Christ University, Bangalore, India.
Manuscript received on 11 April 2019 | Revised Manuscript received on 16 May 2019 | Manuscript published on 30 May 2019 | PP: 413-418 | Volume-8 Issue-1, May 2019 | Retrieval Number: A3398058119/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The traditional Geographical Information Systems (GIS) have to be migrated to the internet eventually much like every other software today. The article has explored ways of utilizing the Open Geospatial Consortium (OGC) standards to come up with ways of achieving a workflow for the development of a service-based implementation of a customized Web Processing Service (WPS). The proposed concept has explored multiple workflows using various combinations of the publishing and development options and the simplest and the least resource intensive one has been identified as the outcome of this project. The workflow identified was then split into two section to make it even more simplify and adaptable, aiding development from the WPS that has to publish. The development process used for the final workflow is done without the use of a resource intensive IDE keeping in mind the major aim of the proposed model is to reduce the dependency on resource intensive software and services. The proposed model is built solely on open source platforms which are in tandem with second stipulation of proposed model is promoting community-based development. The proposed system provides the better execution time and retrieval time. The execution time is compared with similar system, open source Geographical system provide less execution time. The retrieval time is also reduced this indicated Quality of Service is increased.
Index Terms: Data Collection, Geographical Information System, Open Source, Road Map Analysis, Web Processing Service, Workflow.
Scope of the Article: Information and Data Security