Construction of data resources catalogue system of Yellow River based on distributed-ontology
With the rapid development of data collection methods and the digital Yellow River Project, the data resources of the Yellow River has been constantly accumulated. The data resources of Yellow River areautonomous, heterogeneous and dynamic. The problems encountered by the Yellow River Water Conserva...
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Published in | 2013 21st International Conference on Geoinformatics pp. 1 - 4 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.01.2013
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Subjects | |
Online Access | Get full text |
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Summary: | With the rapid development of data collection methods and the digital Yellow River Project, the data resources of the Yellow River has been constantly accumulated. The data resources of Yellow River areautonomous, heterogeneous and dynamic. The problems encountered by the Yellow River Water Conservancy Commission is becoming increasingly prominent, such as resource sharing and exchange of the Yellow River data, etc, which hindering the further development of information construction of the Yellow River. To organize and manage the distributed and heterogeneous data resources in the local network environment effectively andby building a data resources catalog service system, the data resources are described in category with uniform standards. By using distributed ontology, catalog technology, metadata technology and network environment to offer the sustainment, the public is provided high-performances services in data searching and positioning, which accelerates the sharing and integration of data resources of the Yellow River Water Conservancy Commission. Oriented towards how to establish distributed ontology repositories efficiently to support semantic interaction among different users through the Internet, This article starts with the domain ontology construction theory and methods, and provides a construction method of data resources of Yellow River domain ontology based on multi-level business process. Then, a distributed ontology integration framework based on multi-mapping is presented. The paper expatiates on the building objectives and main content. We design the whole system technical architecture, and describe in detail the key technologies that are analyzed. Finally, the significance of Yellow River data resources catalog service system is analyzed, and we point out the research direction in the future. |
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ISSN: | 2161-024X |
DOI: | 10.1109/Geoinformatics.2013.6626157 |