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Facilitating Knowledge Sharing and Analysis in Energy Informatics with the Ontology for Energy Investigations (OEI)

Michael Cotterell
University of Georgia, USA
Jie Zheng
University of Pennsylvania, USA
Qin Sun
Georgia Institute of Technology, USA
Zhengkai Wu
Georgia Institute of Technology, USA
Craig Champlin
Colorado School of Mines, USA
Aaron Beach
National Renewable Energy Laboratory, USA


Abstract
Just as the other informatics-related domains (e.g., Bioinformatics) have discovered in recent years, the ever-growing domain of Energy Informatics (EI) can benefit from the use of ontologies, formalized, domain-specific taxonomies or vocabularies that are shared by a community of users. In this paper, an overview of the Ontology for Energy Investigations (OEI), an ontology that extends a subset of the well-conceived and heavily-researched Ontology for Biomedical Investigations (OBI), is provided as well as a motivating example demonstrating how the use of a formal ontology for the EI domain can facilitate correct and consistent knowledge sharing and the multi-level analysis of its data and scientific investigations.

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Reference:Cotterell, M., Zheng, J., Sun, Q., Wu, Z., Champlin, C. , Beach, A. (2012). "Facilitating Knowledge Sharing and Analysis in Energy Informatics with the Ontology for Energy Investigations (OEI)," Proceedings > Proceedings of Energy Informatics . Sprouts: Working Papers on Information Systems, 12(4). http://sprouts.aisnet.org/12-4
Keywords:Energy Informatics, Ontology design, Knowledge modeling
Item Type:Article - Volume 12 Article 4 (2012)
Language:English
Email: Michael Cotterell (mepcott@uga.edu)
Jie Zheng (jiezheng@pcbi.upenn.edu)
Qin Sun (qinsun@gatech.edu)
Zhengkai Wu (zkwu@gatech.edu)
Craig Champlin (cchampli@mymail.mines.edu)
Aaron Beach (aaron.beach@nrel.gov)

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