Cloudle: an ontology-enhanced cloud service search engine

Authors:
Jaeyong Kang;Kwang Mong Sim
Affiliations:
Multiagent and Cloud Computing Systems Lab., Department of Information and Communication, Gwangju Institute of Science and Technology, Gwangju, Korea;Multiagent and Cloud Computing Systems Lab., Department of Information and Communication, Gwangju Institute of Science and Technology, Gwangju, Korea
Venue:
WISS'10 Proceedings of the 2010 international conference on Web information systems engineering
Year:
2010

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Abstract

Cloud computing is a general term for anything that involves delivering hosted services over the Internet. However, the search engines specialized for users who want to find a Cloud service do not exist at present. This paper introduces Cloudle--an ontology-enhanced Cloud service search engine that consults a Cloud ontology for reasoning about the relations among Cloud services. A Cloud ontology contains a set of Cloud concepts, individuals of those concepts, and the relationship among those individuals. For calculating the similarity between two individuals with the Cloud ontology, we devised and implemented three kinds of reasoning methods, (1) concept similarity reasoning, (2) object property similarity reasoning, and (3) datatype property similarity reasoning. Finally, the empirical results show that the result using Cloudle with the Cloud ontology has better performance in finding the appropriate Cloud service than the result using Cloudle without the Cloud ontology and the result without Cloudle.