A new geospatial data model to facilitate geographic data mining and knowledge discovery
文献类型：会议论文
| 作者 | Wang ; Tao1 ; Chen ; Xi1 ; Bao ; An-Ming1 ; Wei-Sheng1 |
| 出版日期 | 2008 |
| 会议名称 | 2008 IEEE International Conference on Systems, Man and Cybernetics, SMC |
| 会议日期 | 2008 |
| 会议地点 | Singapore, Singapore |
| 关键词 | Data visualization - Computation theory - Computational geometry - Control theory - Cybernetics - Light measurement - Models - Query languages - Three dimensional - Three dimensional computer graphics - Computation capacity - Computational algorithm - Computational geometry algorithms - Data base theory - Data format - Data models - Explosive growth - Geo-database - Geo-spatial data - Geo-spatial database - Geographic data - ITS architecture - Open source - Quantitative analysis - Spatial computing - Spatial data mining - Spatial data model - Spatial database - Structured query languages - Web visualization |
| 页码 | 3642-3646 |
| 中文摘要 | 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. © 2008 IEEE. (40 refs.) |
| 收录类别 | EI |
| 会议录 | 2008 IEEE International Conference on Systems, Man and Cybernetics, SMC 2008
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| ISSN号 | 1062-922X |
| 源URL | [http://ir.xjlas.org/handle/365004/10776]  |
| 专题 | 新疆生态与地理研究所_中国科学院新疆生态与地理研究所(2010年以前数据) |
| 推荐引用方式 GB/T 7714 | Wang,Tao1,Chen,et al. A new geospatial data model to facilitate geographic data mining and knowledge discovery[C]. 见:2008 IEEE International Conference on Systems, Man and Cybernetics, SMC. Singapore, Singapore. 2008. |
入库方式： OAI收割
来源：新疆生态与地理研究所
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