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Ontology as a Service (OaaS): extending sub‐ontologies on the cloud
Author(s) -
Flahive Andrew,
Taniar David,
Rahayu Wenny
Publication year - 2014
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.3404
Subject(s) - ontology , ontology based data integration , computer science , process ontology , upper ontology , cloud computing , suggested upper merged ontology , information retrieval , service (business) , ontology alignment , open biomedical ontologies , owl s , ontology inference layer , ontology learning , world wide web , process (computing) , data science , semantic web , semantic web stack , philosophy , economy , epistemology , economics , operating system
Summary In this paper, we introduce a new notion of Ontology as a Service , in which the ontology tailoring process serves as a service in the cloud. To illustrate Ontology as a Service, we propose sub‐ontology extraction and extension, whereby a sub‐ontology is extracted from the main ontology and is then extended to cover new concepts and relationships. We use a maximum extraction method to facilitate this. Unified Medical Language System meta‐thesaurus ontology is used as a walk‐through case study to illustrate our proposed methods. Copyright © 2014 John Wiley & Sons, Ltd.