Ontology-based knowledge representation for resolution of semantic heterogeneity in GIS

Ying Liu; Han Xiao; Limin Wang; Jialing Han

doi:10.1117/12.2281985

21 July 2017 Ontology-based knowledge representation for resolution of semantic heterogeneity in GIS

Ying Liu, Han Xiao, Limin Wang, Jialing Han

Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 104204Z (2017) https://doi.org/10.1117/12.2281985
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China

Abstract

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.

Citation Download Citation

Ying Liu, Han Xiao, Limin Wang, and Jialing Han "Ontology-based knowledge representation for resolution of semantic heterogeneity in GIS", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104204Z (21 July 2017); https://doi.org/10.1117/12.2281985

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available