Authors:
Hendro Wicaksono
1
;
Sven Rogalski
2
and
Jivka Ovtcharova
2
Affiliations:
1
FZI Research Center for Information Technology, Germany
;
2
Karlsruhe Institute of Technology, Germany
Keyword(s):
Energy Efficiency, Energy Management, Knowledge Acquisition, Machine Learning, Manufacturing, Ontology.
Related
Ontology
Subjects/Areas/Topics:
Applications and Case-studies
;
Artificial Intelligence
;
Biomedical Engineering
;
Collaboration and e-Services
;
Data Engineering
;
Decision Support Systems
;
e-Business
;
Enterprise Information Systems
;
Enterprise Software Technologies
;
Expert Systems
;
Health Information Systems
;
Information Integration
;
Integration/Interoperability
;
Intelligent Problem Solving
;
Knowledge Acquisition
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Software Engineering
;
Symbolic Systems
Abstract:
In recent years ontologies have been used for knowledge representation in different domains, such as energy management and manufacturing. Researchers have developed approaches in applying ontologies for intelligent energy management in households. 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. Energy management in a manufacturing company involves different organizational entities and technical processes. This paper proposes an approach to applying ontology for intelligent energy management in discrete manufacturing companies. The ontology provides a formal knowledge representation that is accessible by different human stakeholders as well as machines in the company. This paper also demonstrates the methods used to construct and to process the ontology.