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A new geospatial data model to facilitate geographic data mining and knowledge discovery

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4 Author(s)
Tao Wang ; Xinjiang Inst. of Ecology & Geogr., Chinese Acad. of Sci., Urumqi ; Xi Chen ; An-Ming Bao ; Wei-sheng Wang

The explosive growth in both the volume and density of geospatial data, which has resulted in the difficulty of geospatial data mining and knowledge discovery, emphasizes the need for advancing the query, analysis and computation capacity of geospatial database. In addition, distributing applications based on Internet requires geospatial database and data model to accomplish the perpetually increasing demands of the query, computation and analysis distributing. Aimed at the above-mentioned issues, a new geospatial data model, X3DORGDM (X3D-based Oriented-Relation Geospatial Data Model) is designed according to the integration among the improvement of database theory, the development of computational geometry algorithms and the deployment of next generation data format of Web visualization, X3D (eXensible 3D). Through a quantitative analysis on X3DORGDM, the result shows the determinants of its spatial computing and the performance of its topological computation. X3DORGDM, as the core of spatial database, will facilitate spatial data mining and knowledge discovery, due to the robustness of its architecture, the flexibility of Structured Query Language (SQL) and the extensibility of its computational algorithm library.

Published in:

Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on

Date of Conference:

12-15 Oct. 2008