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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