Semantic interrelation in distributed system through green computing ontology

• Autor(es): Herlina, Jayadianti ; Nugroho, Lukito Edi ; Santosa, Paulus Insap ; Pinto, Carlos Sousa
• Data: 2013
• Identificador Persistente: http://hdl.handle.net/1822/27443
• Origem: RepositóriUM - Universidade do Minho
• Assunto(s): Ontology; Green computing; Data heterogeneity; Effectiveness
• Tipo de Documento: Documento de conferência
• Idioma: Inglês

Descrição

Green computing refers to the system that provides minimal impact on the environment. When we are talking about green computing we discuss about how much energy is used by the system, such as energy used by the system, time used for the search process, and how effective the system is. Related to that issue, trough this paper we want to proposes a new effort to achieve Green Computing in heterogeneous data in distributed system. The technology chosen to deal with them is Ontology. We try to generate a common ontology including a common set of terms, based on the several ontologies available, in order to make possible to share the common terminology (set of terms) that it implements, between different communities. If a very large amount of distributed data is not managed and distributed properly, user will need more time to do a search process. The longer the search is done, the more energy is used.