ENERGY EFFICIENCY EVALUATION IN MANUFACTURING THROUGH AN ONTOLOGY‐REPRESENTED KNOWLEDGE BASE. Issue 1 (29th October 2013)
- Record Type:
- Journal Article
- Title:
- ENERGY EFFICIENCY EVALUATION IN MANUFACTURING THROUGH AN ONTOLOGY‐REPRESENTED KNOWLEDGE BASE. Issue 1 (29th October 2013)
- Main Title:
- ENERGY EFFICIENCY EVALUATION IN MANUFACTURING THROUGH AN ONTOLOGY‐REPRESENTED KNOWLEDGE BASE
- Authors:
- Wicaksono, Hendro
Jost, Fabian
Rogalski, Sven
Ovtcharova, Jivka - Abstract:
- <abstract abstract-type="main"> <title>SUMMARY</title> <p>Improving energy efficiency in a manufacturing company through an energy management system requires active participation of different stakeholders and involvement of different organizational entities and technical processes. Interoperability of stakeholders and entities is the key factor to achieve a successful implementation of an energy management system. Researchers have been developing approaches in applying ontologies to address interoperability issues among humans as well as machines. Ontologies have also been used for knowledge representation in different domains, such as energy management and manufacturing. In recent years, researchers have developed knowledge‐based intelligent energy management systems in buildings, especially households, which use ontologies for knowledge representation. In the manufacturing domain, ontologies have been used for knowledge management in order to provide a common formal understanding between the stakeholders, who have different background knowledge. This paper proposes an approach to apply ontology to allow knowledge‐based energy efficiency evaluation in manufacturing companies. The ontology provides a formal knowledge representation that addresses the interoperability issues due to different human stakeholders as well as machines involved in the energy management system of the company. This paper also describes the methods used to construct and to process the ontology.<abstract abstract-type="main"> <title>SUMMARY</title> <p>Improving energy efficiency in a manufacturing company through an energy management system requires active participation of different stakeholders and involvement of different organizational entities and technical processes. Interoperability of stakeholders and entities is the key factor to achieve a successful implementation of an energy management system. Researchers have been developing approaches in applying ontologies to address interoperability issues among humans as well as machines. Ontologies have also been used for knowledge representation in different domains, such as energy management and manufacturing. In recent years, researchers have developed knowledge‐based intelligent energy management systems in buildings, especially households, which use ontologies for knowledge representation. In the manufacturing domain, ontologies have been used for knowledge management in order to provide a common formal understanding between the stakeholders, who have different background knowledge. This paper proposes an approach to apply ontology to allow knowledge‐based energy efficiency evaluation in manufacturing companies. The ontology provides a formal knowledge representation that addresses the interoperability issues due to different human stakeholders as well as machines involved in the energy management system of the company. This paper also describes the methods used to construct and to process the ontology. Copyright © 2013 John Wiley &amp; Sons, Ltd.</p> </abstract> … (more)
- Is Part Of:
- Intelligent systems in accounting, finance and management. Volume 21:Issue 1(2014)
- Journal:
- Intelligent systems in accounting, finance and management
- Issue:
- Volume 21:Issue 1(2014)
- Issue Display:
- Volume 21, Issue 1 (2014)
- Year:
- 2014
- Volume:
- 21
- Issue:
- 1
- Issue Sort Value:
- 2014-0021-0001-0000
- Page Start:
- 59
- Page End:
- 69
- Publication Date:
- 2013-10-29
- Subjects:
- Accounting -- Data processing -- Periodicals
Business -- Data processing -- Periodicals
Expert systems (Computer science) -- Periodicals
Artificial intelligence -- Periodicals
657.028563 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/isaf.1347 ↗
- Languages:
- English
- ISSNs:
- 1055-615X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4531.832101
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 3388.xml