Paper
2 December 2005 The geographical ontology, LDAP, and the space information semantic grid
Wei Cui, Deren Li
Author Affiliations +
Proceedings Volume 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications; 60450B (2005) https://doi.org/10.1117/12.650271
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China
Abstract
The research purpose is to discuss the development trend and theory of the semantic integration and interoperability of Geography Information Systems on the network ages and to point out that the geography ontology is the foregone conclusion of the development of the semantic-based integration and interoperability of Geography Information Systems. After analyzing the effect by using the various new technologies, the paper proposes new idea for the family of the ontology class based on the GIS knowledge built here. They are the basic ontology, the domain ontology and the application ontology and are very useful for the sharing and transferring of the semantic information between the complicated distributed systems and object abstracting. The main contributions of the paper are as follows: 1) For the first time taking the ontology and LDAP (Lightweight Directory Access Protocol) in creating and optimizing the architecture of Spatial Information Gird and accelerating the fusion of Geography Information System and other domain's information systems. 2) For the first time, introducing a hybrid method to build geography ontology. This hybrid method mixes the excellence of the independent domain expert and data mining. It improves the efficiency of the method of the domain expert and builds ontology semi-automatically. 3) For the first time, implementing the many-to-many relationship of integration ontology system by LDAP's reference and creating ontology-based virtual organization that could provide transparent service to guests.
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Wei Cui and Deren Li "The geographical ontology, LDAP, and the space information semantic grid", Proc. SPIE 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications, 60450B (2 December 2005); https://doi.org/10.1117/12.650271
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KEYWORDS
Information fusion

Geography

Geographic information systems

Data mining

Data modeling

Databases

Agriculture

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