A Loosely-coupled Semantic Model for Diverse and Comprehensive Cloud Service Search and Retrieval
Daren Fang, Xiaodong Liu, Imed Romdhani · 2014
Abstract—As cloud services propagate along with the rapid development of cloud computing, issues raised in service selection and retrieval processes become increasingly critical. While many approaches are proposed on the specification and discovery of cloud services, existing service models and recommendation systems cannot achieve ultimate effectiveness while dealing with a variety of cloud services of different categories/levels/characteristics. To this extent, this paper proposes a Cloud Service Explorer (CSE) tool, which takes advantage of a Loosely-Coupled Cloud Service Ontology (LCCSO) model as the knowledge base to assist user-friendly service search and service information access. Demonstrated using a number of real world cloud services and their official service data as examples, it proves that the model and tool are capable of offering an efficient and effortless means of handling diverse service information towards ultimate service discovery and retrieval. Keywords-cloud computing; cloud service; semantic model; ontology; service recommendation system. I.