Abstract | ||
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Cloud computing is founded by the concept of service computing, where everything is a service--computing services are now utilities. There are various known services in cloud computing. At the moment, there are Software as a Service (SaaS), Platform as a Service (PaaS), Hardware/Infrastructure as a Service (HaaS/IaaS), and Database as a Service (DaaS). In this paper, we propose Ontology as a Service (OaaS), which is an ontology tailoring process service in the cloud. In particular, we focus on sub-ontology extraction and replacement on the cloud. We use the Maximum Extraction method to facilitate this. UMLS meta-thesaurus ontology is used as a walk-through case study to illustrate our proposed method. |
Year | DOI | Venue |
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2013 | 10.1007/s10586-012-0231-x | Cluster Computing |
Keywords | Field | DocType |
service computing,walk-through case study,cloud computing,various known service,sub-ontology extraction,process service,maximum extraction method,umls meta-thesaurus ontology | Ontology (information science),Services computing,Ontology-based data integration,Process ontology,Computer science,Ontology Inference Layer,Software as a service,Data as a service,Database,Cloud computing | Journal |
Volume | Issue | ISSN |
16 | 4 | 1573-7543 |
Citations | PageRank | References |
10 | 0.61 | 18 |
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 |