Realizing the Need for Similarity Based Reasoning of Cloud Service Discovery
With the growing abundance of information on the web, it becomes the need of the hour to enrich data with semantics that can be understood and processed by machines. Currently, much of the effort in the area of semantics is focused on the representation of semantic data and its reasoning, which is the processing of semantic information associated with that data. This paper aims at realizing the need for similarity based reasoning of cloud service discovery. It forms a basic requirement of a cloud client to discover the most appropriate cloud service from the list of available services published by service providers. Cloud ontology provides a set of concepts, individuals and relationships among them.