Ontology-based Knowledge Representation for Resolution of Semantic Heterogeneity in GIS

被引：0
|
作者：
Liu, Ying [1 ,2 ,3 ]
Xiao, Han [4 ]
Wang, Limin [1 ,3 ]
Han, Jialing [1 ,3 ]
机构：
[1] Jilin Univ Finance & Econ, Sch Management Sci & Informat Engn, Changchun 130117, Jilin, Peoples R China
[2] Jilin Univ Finance & Econ, Lab Logist Ind Econ & Intelligent Logist, Changchun 130117, Jilin, Peoples R China
[3] Jilin Univ Finance & Econ, Jilin Prov Key Lab Internet Finance, Changchun 130117, Jilin, Peoples R China
[4] Jilin Univ, Editorial Dept Journal, Changchun 130012, Jilin, Peoples R China
来源：
NINTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2017) | 2017年 / 10420卷
基金：
美国国家科学基金会;
关键词：
ontology; semantic integration; semantic heterogeneity; intelligent reasoning; GIS; GEOGRAPHIC INFORMATION INTEGRATION;
D O I：
10.1117/12.2281985
中图分类号：
TB8 [摄影技术];
学科分类号：
0804 ;
摘要：
Lack of semantic interoperability in geographical information systems has been identified as the main obstacle for data sharing and database integration. The new method should be found to overcome the problems of semantic heterogeneity. Ontologies are considered to be one approach to support geographic information sharing. This paper presents an ontology-driven integration approach to help in detecting and possibly resolving semantic conflicts. Its originality is that each data source participating in the integration process contains an ontology that defines the meaning of its own data. This approach ensures the automation of the integration through regulation of semantic integration algorithm. Finally, land classification in field GIS is described as the example.
引用
收藏
页数：7
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