2015
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Wicaksono, Hendro; Dobreva, Preslava; Häfner, Polina; Rogalski, Sven Methodology to Develop Ontological Building Information Model for Energy Management System in Building Operational Phase Book Chapter Fred, Ana; Dietz, Jan L G; Liu, Kecheng; Filipe, Joaquim (Ed.): Springer, Berlin, Heidelberg, Berlin, Heidelberg, 2015, ISBN: 978-3-662-46548-6. Links | BibTeX | Tags: building information modelling, Energy efficient building, ontology engineering, ontology population @inbook{Wicaksono2015b,
title = {Methodology to Develop Ontological Building Information Model for Energy Management System in Building Operational Phase},
author = {Hendro Wicaksono and Preslava Dobreva and Polina Häfner and Sven Rogalski},
editor = {Ana Fred and Jan L.G. Dietz and Kecheng Liu and Joaquim Filipe},
url = {https://link.springer.com/chapter/10.1007/978-3-662-46549-3_11},
doi = {10.1007/978-3-662-46549-3_11},
isbn = {978-3-662-46548-6},
year = {2015},
date = {2015-04-25},
publisher = {Springer, Berlin, Heidelberg},
address = {Berlin, Heidelberg},
keywords = {building information modelling, Energy efficient building, ontology engineering, ontology population},
pubstate = {published},
tppubtype = {inbook}
}
|
Wicaksono, Hendro Intelligent Information model for improving energy efficiency in building operational phase Conference Jahrestagung des KIT-Zentrums Energie, EST Energy Science Technology, 2015. BibTeX | Tags: building information modelling, Energy efficient building, Ontology, ontology engineering, ontology population @conference{Wicaksono2015,
title = {Intelligent Information model for improving energy efficiency in building operational phase},
author = {Hendro Wicaksono},
year = {2015},
date = {2015-01-20},
booktitle = {Jahrestagung des KIT-Zentrums Energie, EST Energy Science Technology},
keywords = {building information modelling, Energy efficient building, Ontology, ontology engineering, ontology population},
pubstate = {published},
tppubtype = {conference}
}
|
2013
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Wicaksono, Hendro; Dobreva, Preslava; Häfner, Polina; Ovtcharova, Jivka Ontology Development towards Expressive and Reasoning-enabled Building Information Model for an Intelligent Energy Management System Inproceedings Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013), pp. 38-47, INSTICC SciTePress, Lissabon, 2013, ISBN: 978-989-8565-81-5. Abstract | Links | BibTeX | Tags: building information modelling, Energy efficient building, ontology engineering, ontology population @inproceedings{Wicaksono2013b,
title = {Ontology Development towards Expressive and Reasoning-enabled Building Information Model for an Intelligent Energy Management System},
author = {Hendro Wicaksono and Preslava Dobreva and Polina Häfner and Jivka Ovtcharova },
url = {http://www.scitepress.org/PublicationsDetail.aspx?ID=crW8NNTn1p4=&t=1},
doi = {10.5220/0004540300380047},
isbn = {978-989-8565-81-5},
year = {2013},
date = {2013-09-23},
booktitle = {Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013)},
volume = {1},
pages = {38-47},
publisher = {SciTePress},
address = {Lissabon},
organization = {INSTICC},
abstract = {In recent years, energy consumption in buildings has been rising and is currently representing a significant percentage of the whole energy consumption on earth. The EU has responded this trend by requiring zero energy consumption by 2020 and by supporting innovative research approaches for improving energy efficiency in buildings without decreasing inhabitants comfort. This paper describes the approach to develop an intelligent system for building specific energy management that allows occupants and facility managers to monitor and control the energy consumption and also detects their wasting points. An ontology based information model for building energy management offering expressive representation and reasoning capability is also introduced in this paper. We highlight an approach to develop the ontology as the knowledge base providing the intelligence of the system. Furthermore we demonstrate how the energy performance analysis is improved using the ontology based approach.},
keywords = {building information modelling, Energy efficient building, ontology engineering, ontology population},
pubstate = {published},
tppubtype = {inproceedings}
}
In recent years, energy consumption in buildings has been rising and is currently representing a significant percentage of the whole energy consumption on earth. The EU has responded this trend by requiring zero energy consumption by 2020 and by supporting innovative research approaches for improving energy efficiency in buildings without decreasing inhabitants comfort. This paper describes the approach to develop an intelligent system for building specific energy management that allows occupants and facility managers to monitor and control the energy consumption and also detects their wasting points. An ontology based information model for building energy management offering expressive representation and reasoning capability is also introduced in this paper. We highlight an approach to develop the ontology as the knowledge base providing the intelligence of the system. Furthermore we demonstrate how the energy performance analysis is improved using the ontology based approach. |
Häfner, Polina; Häfner, Victor; Wicaksono, Hendro; Ovtcharova, Jivka Semi-automated ontology population from building construction drawings Inproceedings 5th International Conference on Knowledge Engineering and Ontology Development, KEOD 2013; Vilamoura, Algarve; Portugal; 19 September 2013 - 22 September 2013, pp. 379-386, INSTICC, Lissabon, Lissabon, 2013, ISBN: 978-989856581-5. Abstract | Links | BibTeX | Tags: Ontology, ontology population, pattern recognition @inproceedings{Häfner2013,
title = {Semi-automated ontology population from building construction drawings},
author = {Polina Häfner and Victor Häfner and Hendro Wicaksono and Jivka Ovtcharova},
url = {https://publikationen.bibliothek.kit.edu/1000040883},
isbn = {978-989856581-5},
year = {2013},
date = {2013-09-06},
booktitle = {5th International Conference on Knowledge Engineering and Ontology Development, KEOD 2013; Vilamoura, Algarve; Portugal; 19 September 2013 - 22 September 2013},
pages = {379-386},
publisher = {INSTICC, Lissabon},
address = {Lissabon},
abstract = {Ontologies have been applied as knowledge representation in different domains including intelligent building management. One of the challenges in using ontologies is the population with building specific information, such as the building elements and the energy consuming devices.The population usually has to be done manually, thus it requires an extensive work. This is due to the lack of semantic information in the existing building drawings. The building drawings only contain geometrical information. However, it is possible that we understand the semantics of the drawings, if we have the knowledge in interpreting the semantics of the symbols, shapes and other geometric information. In this paper we introduce a tool to extract the semantic information from CAD drawings and populate the ontology using the extracted semantic information in a semi-automatic way. We extract the drawing primitives from CAD files, perform the pattern matching and classification algorithms to extract the semantic information and enrich them with geometric data like object world positions and bounding boxes. The resulting semantic information is then mapped to the corresponding ontology classes of a T-Box ontology. Finally individuals of the corresponding classes are created to populate the ontology.},
keywords = {Ontology, ontology population, pattern recognition},
pubstate = {published},
tppubtype = {inproceedings}
}
Ontologies have been applied as knowledge representation in different domains including intelligent building management. One of the challenges in using ontologies is the population with building specific information, such as the building elements and the energy consuming devices.The population usually has to be done manually, thus it requires an extensive work. This is due to the lack of semantic information in the existing building drawings. The building drawings only contain geometrical information. However, it is possible that we understand the semantics of the drawings, if we have the knowledge in interpreting the semantics of the symbols, shapes and other geometric information. In this paper we introduce a tool to extract the semantic information from CAD drawings and populate the ontology using the extracted semantic information in a semi-automatic way. We extract the drawing primitives from CAD files, perform the pattern matching and classification algorithms to extract the semantic information and enrich them with geometric data like object world positions and bounding boxes. The resulting semantic information is then mapped to the corresponding ontology classes of a T-Box ontology. Finally individuals of the corresponding classes are created to populate the ontology. |
Wicaksono, Hendro; Dobreva, Preslava Intelligent knowledge generation for energy management in buildings Inproceedings Breh, Wolfgang (Ed.): Impulse für die Zukunft der Energie : Wissenschaftliche Beiträge des KIT zur 2. Jahrestagung des KIT-Zentrums Energie. Doktorandensymposium, 13.06.2013, pp. 73-78, Zentrum Energie (Karlsruhe) KIT Scientific Publishing, Karlsruhe, 2013, ISBN: 978-3-7315-0097-1. Abstract | Links | BibTeX | Tags: building energy management, energy efficiency, energy performance indicator, knowledge management, Ontology, ontology engineering, ontology population @inproceedings{Wicaksono2013e,
title = {Intelligent knowledge generation for energy management in buildings },
author = {Hendro Wicaksono and Preslava Dobreva},
editor = {Wolfgang Breh},
url = {https://publikationen.bibliothek.kit.edu/1000036425/2888062},
doi = {10.5445/KSP/1000036425},
isbn = {978-3-7315-0097-1},
year = {2013},
date = {2013-06-13},
booktitle = {Impulse für die Zukunft der Energie : Wissenschaftliche Beiträge des KIT zur 2. Jahrestagung des KIT-Zentrums Energie. Doktorandensymposium, 13.06.2013},
pages = {73-78},
publisher = {KIT Scientific Publishing},
address = {Karlsruhe},
organization = {Zentrum Energie (Karlsruhe)},
abstract = {Energy consumption in buildings is currently representing a significant percentage of the whole energy consumption on earth. The EU responds to this trend by dedicated policy making and financially supporting research activities in the field of efficiency improvement without decreasing inhabitants comfort. This paper describes a method for intelligent energy management in public buildings, going behind classical data-driven approaches commonly used by BMS solutions. An ontology based approach for energy analysis offering extended concept for automated population, self-learning mechanisms and integration to other systems. Furthermore we demonstrate how the energy performance analysis is improved using the ontology based approach. },
keywords = {building energy management, energy efficiency, energy performance indicator, knowledge management, Ontology, ontology engineering, ontology population},
pubstate = {published},
tppubtype = {inproceedings}
}
Energy consumption in buildings is currently representing a significant percentage of the whole energy consumption on earth. The EU responds to this trend by dedicated policy making and financially supporting research activities in the field of efficiency improvement without decreasing inhabitants comfort. This paper describes a method for intelligent energy management in public buildings, going behind classical data-driven approaches commonly used by BMS solutions. An ontology based approach for energy analysis offering extended concept for automated population, self-learning mechanisms and integration to other systems. Furthermore we demonstrate how the energy performance analysis is improved using the ontology based approach. |