網際網路技術日新月異之發展帶動了多元化資訊之建置與流通。雖然許多資訊（例如網頁或部落格文章）之內容帶有空間之意涵，但由於並非基礎於數值坐標之描述方式，屬於非直接空間參考(Indirect Spatial Referencing)之描述，因此無法充分利用地理資訊系統環境之地圖介面或空間資訊技術而提昇應用之範疇與實效。是否可有效辨識其描述內容之空間意涵，並與空間資訊技術結合因此成為後續應用之首要挑戰。
近年之地理資訊模擬與流通已趨向基礎於圖徵（Feature）之概念而發展，伴隨開放式之資料架構與技術，異質資訊之流通、整合與應用也成為重要之發展課題。由於網頁之內容也常以圖徵為描述對象，兩者之間隱然具有可串連運作之可能性。本研究結合標準化地理識別碼、地標圖徵服務及開放格式資料等三類技術，發展網路資源整合之基礎架構。各類網路資源可透過設計之開放地理識別碼描述架構而建立應有之關聯，經標準化設計之地理識別碼可再透過地標圖徵服務而取得相關之坐標描述，並進一步藉助地理資訊系統之空間技術運作而提升展示或分析之效能。
本架構之最大特色為由標準化圖徵識別及空間資訊技術之發展而進一步分析廣大網路資源之相互關係，突破以往僅以關鍵字比對為搜尋條件的限制。未來之地理識別圖徵服務則可由專責之政府或民間機構維護，且開放之架構允許開放透明之資訊整合應用。地理資訊之建置者與應用者將可更進一步各司其職，創造協同合作之最大效益，也可能因此徹底改變未來網路資源應用與整合之模式。

The rapid development of Internet technology has dramatically modified how information is created and distributed. Although a lot of information in internet (such as web pages or blog articles) is created with implicit spatial meaning, its recording is not based on numeric coordinates. This type of indirect spatial referencing information cannot be directly displayed in the GIS map interface and take advantages of the geospatial technology to expand the application scope and improve the integrated efficiency. How to effectively identify the spatial meaning hidden in text-based description and process by geospatial technology therefore becomes an urgent challenge.
In recent years, the modeling and distribution of geospatial information has changed to be based on individual feature. With the development of open data architecture and technology, the distribution, integration and application of heterogeneous geospatial data become
important topics. Because the text-based description in homepages is also often based on individual feature, to establish links between these two types of internet resources on the basis of features become possible.
This study intends to integrate standardized geographic identifier, landmark feature service and open data format to develop a fundamental framework for the integration of internet resources. The relationship between various types of internet resources can be established via the geographic identification framework in open data format. This standardized geographic identifier can then serve as the basis for issuing IV requests to the landmark feature service to acquire the required coordinates. The acquired coordinate is furthermore used to improve the spatial display and spatial analysis of internet resources by introducing geospatial technology.
The most prominent characteristic of this framework is to integrate the standardized encoding of geographic identifier and the development of geospatial technology to further establish the interacting relationships between different types of internet resources, such that the search of internet resource will not be restricted to keyword matching only. In the future, the geographic identifier service can be maintained by responsible
government bureau or civilian organizations. The open architecture will allow open and transparent data integration and application. With the proposed mechanism, the creator and users only need to pay attention to their own duties and in the meantime achieve the highest cooperative benefit. This also points out a possibility to revolutionize the model of the integration and application of internet resources in the future.

ISO 19112 (2003). Geographic information – Spatial referencing by geographic
identifiers.
JEITA (2002).Exchangeable image file format for digital still cameras:Exif ,Version
2.2. Retrieved June , 2008 , from http://www.exif.org/Exif2-2.PDF
OGC(2001).Geography Markup Language,(OGC Recommendation Paper No.
01-029)
OGC(2002).Gazetteer Service Profile of the Web Feature Service Implementation
Specification, Version: 0.9(OpenGIS© Discussion Paper No. 02-076r3)
OGC(2002).Web Feature Service Implementation Specification, Version: 1.0.0
( OpenGIS® Implementation Specification No. 02-058)
OGC(2006).OGC White Paper An Introduction to GeoRSS:A Standards Based
Approach for Geo-enabling RSS feeds, Version: 1.0.0(OpenGIS® White Paper
No.06-050r3)
OGC(2006).OpenGIS® Implementation Specification for Geographic information -
Simple feature access - Part 1: Common architecture, Version: 1.2.0(OpenGIS®
Implementation Specification No. 06-103r3)
OGC(2007).OpenGIS® Geography Markup Language (GML) Encoding Standard,
Version: 3.2.1(OpenGIS® Standard No. 07-036)
OGC(2008).OGC® KML, Version: 2.2.0(OGC® Standard No. 07-147r2)
W3C(2004). Web Services Architecture, Working Group Note.
林信助(2008)。開放式時空地理資料描述基本架構之研究ㄡ國立成功
大學測量及空間資訊學系碩士論文，台南市。
陳光華(1997)。資訊的組織與擷取。國立台灣大學圖書館學系
廖宜真(2009)。基礎於開放式地名資料描述之歷史時空資訊展示研
究。國立成功大學測量及空間資訊學系碩士論文，台南市。
賴依琪(2008)。由多重空間表示觀點探討地形圖徵資料之設計與管
理。國立成功大學測量及空間資訊學系碩士論文，台南市。
戴瑛秋(2007)。圖徵識別之設計及流通架構研究。國立成功大學測量
及空間資訊學系碩士論文，台南市。
Abdulrahman, F. (2008). Using KML files as encoding standard to explore locations,
access and display data in Google Earth. A Technical Paper Presented in Partial
Fulfillment of the Requirements for the Degree Master of Science in the
Graduate School of The Ohio State University.
Anderson, G. and Moreno-Sanchez, R. (2003). Building Web-Based Spatial
Information Solutions around Open Specifications and Open Source Software.
Transaction in GIS 7(4): 447-466.
Borges, K., Laender, A., Medeiros, C., Silva, A. and JR., C. (2003). The Web as a
Data Source for Spatial Databases. V Brazilian Symposium on GeoInformatics.
Campos do Jordão.
Brin, S. and Page, L. (1998). The anatomy of a large-scale hypertextual Web search
engine. Computer Networks and ISDN Systems 30(1-7): 107-117.
Densham, I. and Reid, J. (2003). A geo-coding service encompassing a geo-parsing
tool and integrated digital gazetteer service. Proceedings of the Workshop on the Analysis of Geographic References. Edmonton, Canada.
Hearst, M. (1992). Automatic Acquisition of Hyponyms from Large Text Corpora.
Proceedings of the 14th conference on Computational linguistics.
Heuer, J. and Dupke, S. (2007). Towards a Spatial Search Engine Using Geotags.
GI-Days 2007 Young Researchers Conference: 199-204.
Hill, L. (2000). Core Elements of Digital Gazetteers: Placenames, Categories, and
Footprints. Lecture Notes in Computer Science 1923: 280-290.
Laender, A., Ribeiro-Neto, B. and Silva, A. (2001). DEByE - Data Extraction By
Example. Data and Knowledge Engineering 40: 121-154.
Lukasiewicz, L. and Straccia, U. (2008). Managing uncertainty and vagueness in
description logics for the SemanticWeb. Web Semantics: Science, Services and
Agents on the World Wide Web 6: 291-308.
Morimoto, Y., Aono, M., Houle, M. and McCurley, K. (2003). Extracting spatial
knowledge from the web. In Proceedings of 2003 Symposium on Applications
and the Internet. Orlando, FL,USA: 326-333.
Rajabifard, A. and Williamson, I. (2001). Spatial Data Infrastructures:Concept, SDI
Hierarchy and Future Directions. Proceedings of GEOMATICS. Tehran, Iran.
Reid, J. (2003). geoXwalk – A Gazetteer Server and Service for UK Academia.
Proceedings of the 7th International Conference on GeoComputation.
Tomaszewski, B. (2007). Cartographic and Visual Representation of Situational
Information Created through Computational Extraction Procedures: Foundations
for Awareness. International Cartographic Conference. Moscow, Russia.
Torniai, C. and Battle, S. (2006). Sharing, Discovering and Browsing Photo
Collections through RDF geo-metadata. Proceedings of the 3rd Italian Semantic
Web Workshop Semantic Web Applications and Perspectives. Pisa, Italy.
Torniai, C., Battle, S. and Cayzer, S. (2007). Sharing, Discovering and Browsing
Geotagged Pictures on the Web. Technical report, HP Labs.
Tsoulos, L., Spanaki, M. and Skopeliti, A. (2003). An XML-based approach for the
composition of maps and charts. The 21st International Cartographic Conference.
Durban,South Africa.
Zhang, A., Qi, Q. and Jiang, L. (2007). GeoRSS Based Emergency Response
Information Sharing and Visualization. Third International Conference on
Semantics, Knowledge and Grid: 596 - 597.