Abstract | ||
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Cloud computing is a revolution in the information technology industry. It allows computing services provided as utilities. The traditional cloud services include Software as a Service, Platform as a Service, Hardware/Infrastructure as a Service, and Database as a Service. In this paper, we introduce the notion of Ontology as a Service (OaaS), whereby the ontology tailoring process is a service in the cloud. This is particularly relevant as we are moving toward Cloud 2.0--multi-cloud providers to provide an interoperable service to customers. To illustrate OaaS, in this paper we propose sub-ontology extraction and merging, whereby multiple sub-ontologies are extracted from various source ontologies, and then these extracted sub-ontologies are merged to form a complete ontology to be used by the user. We use the Minimum extraction method to facilitate this. A walkthrough case study using the UMLS meta-thesaurus ontology is elaborated, and its performance in the cloud is also discussed. |
Year | DOI | Venue |
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2013 | 10.1007/s11227-011-0711-4 | The Journal of Supercomputing |
Keywords | Field | DocType |
Cloud computing,Ontology | Ontology (information science),Ontology merging,Ontology-based data integration,World Wide Web,Process ontology,Computer science,Suggested Upper Merged Ontology,Data as a service,Cloud testing,Database,Cloud computing | Journal |
Volume | Issue | ISSN |
65 | 1 | 0920-8542 |
Citations | PageRank | References |
12 | 0.57 | 28 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Andrew Flahive | 1 | 159 | 13.87 |
David Taniar | 2 | 1890 | 189.50 |
J. Wenny Rahayu | 3 | 1275 | 106.72 |