| Summary: | 碩士 === 逢甲大學 === 都市計畫與空間資訊學系 === 105 === Recently, the steadily increasing spatial data and more and more data published on the Internet had led to the issue of data heterogeneity. Data heterogeneity means that, even for the same type of data, there are many different kinds of data formats, resulting in problems of integration. Therefore, this study used the Catalogue Service for the Web (CSW) and Sensor Observation Service (SOS), which are standards developed by the Open Geospatial Consortium (OGC), to solve the problem of integration from different data formats, and promote the interoperability of spatial data.
This study used two methods, The Federating Approach and The Brokering Approach, to compare their efficiency and suitability and find out the difference. Both methods were applied in setting up systems in this study. The case study of Dajia River Basin was used, and the rainfall data of 27 stations was collected for integration study. The OGC standards were applied to integrate the rainfall data from different organizations, and the results showed that the interoperability issue of data heterogeneity was well handled by the proposed OGC standard-based systems among data providers (organizations).
This study also analyzed the applicability of two methods in terms of data quantity and processing time under different situations. The crossing point was found in the comparison of the two methods. Based on the results, The Federating Approach generated lots of system loadings while the data reached to a huge amount. Therefore, The Brokering Approach was more suitable when given a certain amount of data.
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