title: A method of extracting ontology module using concept relations for sharing knowledge in mobile cloud computing environment.
abstract: In mobile cloud computing environment, the cooperation of distributed computing objects is one of the most important requirements for providing successful cloud services. To satisfy this requirement, all the members, who are employed in the cooperation group, need to share the knowledge for mutual understanding. Even if ontology can be the right tool for this goal, there are several issues to make a right ontology. As the cost and complexity of managing knowledge increase according to the scale of the knowledge, reducing the size of ontology is one of the critical issues. In this paper, we propose a method of extracting ontology module to increase the utility of knowledge. For the given signature, this method extracts the ontology module, which is semantically self-contained to fulfill the needs of the service, by considering the syntactic structure and semantic relation of concepts. By employing this module, instead of the original ontology, the cooperation of computing objects can be performed with less computing load and complexity. In particular, when multiple external ontologies need to be combined for more complex services, this method can be used to optimize the size of shared knowledge.
authors.affiliation: Graduation School of Information & Communication, Ajou University, Suwon, Republic of Korea.
authors.forename: Keonsoo
authors.initials: K
authors.lastname: Lee
authors.affiliation: Department of Multimedia, Sungkyul University, Anyang, Republic of Korea.
authors.forename: Seungmin
authors.initials: S
authors.lastname: Rho
authors.affiliation: Department of Software Convergence Technology, Ajou University, Suwon, Republic of Korea.
authors.forename: Seok-Won
authors.initials: SW
authors.lastname: Lee
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods; D003199:Computer Systems; D006801:Humans; D033181:Information Dissemination / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D051188:Knowledge Bases