Cloudle: an ontology-enhanced cloud service search engine
WISS'10 Proceedings of the 2010 international conference on Web information systems engineering
Multi-Cloud: expectations and current approaches
Proceedings of the 2013 international workshop on Multi-cloud applications and federated clouds
Creating a semantically-enhanced cloud services environment through ontology evolution
Future Generation Computer Systems
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Cloud computing has become a hot topic for both industrial and academic communities in the last couple of years. However, there has been no study that tried to develop search engines which are specialized for discovering Cloud service. Hence, this paper introduces Cloudle—a multi-criteria Cloud service search engine that supports matching algorithm of three kinds of requirements which are (1) functional requirement, (2) technical requirement, and (3) cost requirement. To enhance the accuracy of search results, we designed a Cloud ontology. A Cloud ontology contains a set of Cloud concepts, individuals of those concepts, and the relationship among those individuals. It is used for determining the similarity among Cloud service using three kinds of devised reasoning methods which are (1) concept similarity reasoning, (2) object property similarity reasoning, and (3) data type property similarity reasoning. Finally, the empirical results show that the result using Cloudle with the Cloud ontology has significantly better performance in finding the appropriate Cloud service than the result using Cloudle without the Cloud ontology and the result without Cloudle.