Journal of Geo-information Science >
The Multi-level Discovery Algorithm of GP Service Based on Semantic Description
Received date: 2013-05-15
Revised date: 2013-07-04
Online published: 2014-01-05
With the rapid development of cloud technology, "all resources are becoming services" and the "digital earth" is becoming realizable. Although the great progress of observational technology considerably enriched the available data resources, it raised quite a challenge of processing and reprocessing the spatial data of which the utilization ratio was generally low to date. The data processing service in today's cloud technology is an effective strategy for addressing this challenge, but the key solutions lie in how to describe, search and integrate the data processing services and how to find the optimal service in the cloud service pool. The service semantics based on the ontology theory are useful for bridging the knowledge gap between non-professional and professional clients and can help expand the application domains of spatial data processing services. So, this study, by comparing several service matching algorithms in related researches, presents a multi-level algorithm combining the ontology technique for searching the optimal Geoprocess (GP) service. The algorithm introduces the part-of and the sequential relation semantics to describe the parent-child relationships and the predecessor-successor relationships between different services. The multi-level searches are performed by first matching such relational semantics of the services and then executing a conventional service matching algorithm based on the synaptic theory in neural network. Finally, the experiment in this study confirmed the improvement of the algorithm upon the recall and precision ratio.
WEI Haitao, DU Yunyan, HE Yawen, ZHOU Chenghu, ZHANG Lei . The Multi-level Discovery Algorithm of GP Service Based on Semantic Description[J]. Journal of Geo-information Science, 2014 , 16(1) : 39 -44 . DOI: 10.3724/SP.J.1047.2014.00039
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