查詢結果分析
來源資料
頁籤選單縮合
題 名 | 以位相關係查詢GML格式地理資訊之程序研究=Towards the Processing of Topological Query of GML-based Geographic Data |
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作 者 | 洪榮宏; 鄒亞崙; | 書刊名 | 地籍測量 |
卷 期 | 25:4 民95.12 |
頁 次 | 頁1-22 |
分類號 | 440.98 |
關鍵詞 | 地理標記語言; 位相關係; 空間查詢; Geography markup language; Topological relations; Spatial query; |
語 文 | 中文(Chinese) |
中文摘要 | 為提升異質性網路環境中地理資料之互操作性及減低不同商業軟體格式之隔閡,以開放格式為設計基礎的地理標記語言(Geography Markup Language)將伴隨網路服務技術的發展而成為未來地理資訊的主要流通格式。為促進流通機制的發展,除各類資料標準的制訂外,也必須進一步探討以位相關係進行查詢的實務執行程序及擴充可查詢的廣度。本文由使用者界面、位相關係查詢操作及演算法之執行觀點為主軸,探討如何因應使用者具有語意之查詢需求而設計GML資料之查詢處理流程。研究成果顯示可利用GML之XML本質及圖徵(Feature)節點包裝篩選符合條件之GML資料,同時在查詢時,也可藉由邏輯組合或自行定義位相關係操作,使查詢架構具備更高的彈性,以滿足各類具有空間語意的查詢。由於回傳資料本質上就具有開放之特性,在加強查詢功能後,將可更有利於發展以圖徵為基礎的網際網路地理資料流通環境。 |
英文摘要 | To improve the geographic data interoperability in heterogeneous environment and reduce the format incompatibility caused by commercial software, Geography Markup Language (GML), being designed with an "open" nature, will become the major distributed format for geographic data in the future geospatial web service environment. Other than the design of data standards, the success of the distributed mechanism will also require further investigation on the query capability from the perspective of both processing strategies and functionality expansion. We developed a topological query mechanism for GML data in this paper and argued that the query processing, particularly those with semantic meaning, must consequently consider the requirements on user interface, topological relations and associated algorithms. Research results indicated that the query processing of GML data can take advantage of its XML nature and feature-based encoding structure to generate a GML subdocument that fulfills the given criteria. In the mean time, the logical combination of primitive and self-defined topological relations proves to be able to provide better query resolution and flexibility, so as to meet the possible query demands with various spatial semantics. Since the returned result is naturally open, with the improvement of query capability, it can certainly contribute to the future feature-based and web-based geographic data distributed environment. |
本系統中英文摘要資訊取自各篇刊載內容。