Geo-web service tool for spatial data integrability
AuthorMOHAMMADI, HOSSEIN; RAJABIFARD, ABBAS; BINNS, ANDREW; Williamson, Ian Philip
Source Title11th AGILE 2008 Conference on GI Science
University of Melbourne Author/sMOHAMMADI, HOSSEIN; Rajabifard, Abbas; BINNS, ANDREW; Williamson, Ian
AffiliationFaculty of Engineering, Geomatics
Document TypeConference Paper
CitationsMohammadi, H., Rajabifard, A., Binns, A., & Williamson, I. P. (2008). Geo-web service tool for spatial data integrability. In 11th AGILE 2008 Conference on GI Science, Girona, Spain.
Access StatusOpen Access
This is a preprint of a paper from 11th AGILE 2008 Conference on GI Science, 5th-8th May 2008. http://www.agile2008.es/
The integration of multi-source heterogeneous spatial data is one of the major challenges for many spatial data users. Users put much effort to identify and overcome inconsistency among data sets through a time-consuming and costly process. Spatial applications that rely on multi-source heterogeneous data also suffer from the lack of automatic mechanism to identify the inconsistency items and assign an appropriate solution for any particular item. An effective integration necessitates the identification of the inconsistency among data sets and the provision of necessary standards and guidelines in order to overcome the inconsistency, and then data sets can be manipulated based on the guidelines and proposed solutions.The paper follows two main streams. Firstly, the results of a number of case studies which have been conducted in order to identify the issues and challenges of spatial data integration are discussed. Then based on identified issues the design and development of a validation tool is discussed. The tool has been designed based on an approach which is presented in the paper. The tool aims to investigate multi-sourced spatial data and identify the items of inconsistency. The tool also proposes available guidelines to overcome the inconsistency. This tool can help practitioners and organizations to avoid the time-consuming and costly process of validating data sets for effective data integration.
Keywordsmulti-source spatial data; inconsistent spatial data; spatial data integration
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