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Proceedings Paper

A study on ontology-driven geospatial-information retrieving in the Semantic Web
Author(s): Quan-Li Xu; Kun Yang; Jun Wang; Shuang-Yun Peng; Jun-Hua Yi
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Paper Abstract

Firstly, this paper expounded that the traditional searching based on keywords has a severe deficiency on Recall and Precision because the computer can't understand what information mean efficiently. In Succession, through extending from ordinary information to Geo-spatial information, on the support of geo-ontology theory and semantic web services technology, this paper discussed the principle, methods and application of ontology-driven geo-spatial information retrieving mechanism in semantic web. In other word, How to structure the framework for running this mechanism, how to build the ontology information models and how to establish the ontology-driven services models are discussed in detail in context. A design of systems for implementing the mechanism and experiment are given at the end of the text.

Paper Details

Date Published: 3 November 2008
PDF: 9 pages
Proc. SPIE 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 71430S (3 November 2008); doi: 10.1117/12.812551
Show Author Affiliations
Quan-Li Xu, Kunming Univ. of Science and Technology (China)
Kun Yang, Yunnan Normal Univ. (China)
Jun Wang, Kunming Univ. of Science and Technology (China)
Shuang-Yun Peng, Yunnan Normal Univ. (China)
Jun-Hua Yi, Institute of Photogrammetry and Remote Sensing (China)


Published in SPIE Proceedings Vol. 7143:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Aijun Chen, Editor(s)

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