A high-level electrical energy ontology with weighted attributes

Küçük, Dilek

doi:10.1016/j.aei.2015.04.002

Cited by 13 publications

(15 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Through modeling resource and technology in EIP, it is claimed that their ontology is able to provide significant CO 2 emission and waste reduction effect in EIP. Other ontology works were also reported for the sub-systems, such as electrical power system [46,47] and transportation systems [48,49]. Moreover, ontologies have also been proved useful tools for solving the privacy-related issues during information fusion, which would be a great feature for enhancing usability in practice [50].…”

Section: Domain Ontologies For Socio-technical Systemsmentioning

confidence: 99%

An ontology framework towards decentralized information management for eco-industrial parks

Zhou

Zhang

Karimi

et al. 2018

Computers & Chemical Engineering

View full text Add to dashboard Cite

Section: Domain Ontologies For Socio-technical Systemsmentioning

confidence: 99%

An ontology framework towards decentralized information management for eco-industrial parks

Zhou

Zhang

Karimi

et al. 2018

Computers & Chemical Engineering

View full text Add to dashboard Cite

“…In order to include it within the larger electrical energy ontology with weighted attributes [11], the ontology has been extended to include weighted attributes and this extended version is again publicly shared at http://www.ceng.metu.edu.tr/ ~e120329/FWONT.owl. This form of the ontology is henceforth referred to as WONT due to the name of its initial OWL file and the electrical energy ontology [11] is henceforth referred to as FEEONT, based on the name of its publicly-available OWL file at http://www.ceng.metu.edu.tr/ ~e120329/FEEONT.owl.…”

Section: Initial Version Of the Wind Energy Ontologymentioning

confidence: 99%

“…Figure 5 also demonstrates the use of the aforementioned new attributes of OntoWind, namely, country, webAddress, and twitterAccount. The remaining ones are the already existing attributes from WONT [12] and FEEONT [11], and they are explained below again, for the purposes of completeness: label : This attribute holds the exact concept name.…”

Section: Extensionsmentioning

confidence: 99%

“…In [12], a domain ontology for wind energy which was constructed through a semi-automated procedure is presented. A high-level covering ontology for the domain of electrical energy is presented in [11] where this ontology was also aligned with the aforementioned electrical power quality and wind energy ontologies. An ontology for energy efficiency in smart grid neighborhoods is presented in [14], and finally an ontology matching system for the smart grid domain is described in [20] which aims to reduce the related interoperability issues.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

OntoWind: An Improved and Extended Wind Energy Ontology

Küçük,

Küçük

2018

Preprint

Self Cite

View full text Add to dashboard Cite

Ontologies are critical sources of semantic information for many application domains. Hence, there are ontologies proposed and utilized for domains such as medicine, chemical engineering, and electrical energy. In this paper, we present an improved and extended version of a wind energy ontology previously proposed. First, the ontology is restructured to increase its understandability and coverage. Secondly, it is enriched with new concepts, crisp/fuzzy attributes, and instances to increase its usability in semantic applications regarding wind energy. The ultimate ontology is utilized within a Web-based semantic portal application for wind energy, in order to showcase its contribution in a genuine application. Hence, the current study is a significant to wind and thereby renewable energy informatics, with the presented publicly-available wind energy ontology and the implemented proof-of-concept system.

show abstract

“…As shown in the above Table 1, ontologies are already adopted in numerous applications, proving their usefulness in various scientific fields [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35]. Thus, the development of an equivalent ontology concerning climate would be a useful and efficient tool for the creation of the Climate Policy Database and the structuring of the gathered resources.…”

Section: Introductionmentioning

confidence: 99%

Managing Climate Policy Information Facilitating Knowledge Transfer to Policy Makers

Karakosta

Flamos

2016

Energies

View full text Add to dashboard Cite

Abstract:In the challenging context of intense negotiations and radical developments in the field of climate policy, informing stakeholders about opportunities and pathways and about scientific insights and warnings is important to help create positive dynamics. Policy makers need digestible information to design good policies, and understand their options and the possible impacts of these options. They need access to well-structured knowledge, as well as appropriate techniques to manage information and data. However, available information is often difficult to access, not in the right format and of limited use to stakeholders. The range of knowledge needs identified has to be effectively addressed by providing interested parties with suitable, to-the-point information, covering the identified gaps. This is the main aim of this article that proposes the design and development of a climate policy database, which contains all the resources that can cover the identified knowledge gaps. The resources are derived from a broad range of existing reports, research and climate policy decisions at different levels. The goal is to render climate policy associated stakeholders able to extract key policy conclusions. The added value of this database was verified by users and stakeholders that generally argued that the climate policy database facilitates solid understanding of climate policy implications and fosters collaborative knowledge exchange in the field.

show abstract

A high-level electrical energy ontology with weighted attributes

Cited by 13 publications

References 20 publications

An ontology framework towards decentralized information management for eco-industrial parks

An ontology framework towards decentralized information management for eco-industrial parks

OntoWind: An Improved and Extended Wind Energy Ontology

Managing Climate Policy Information Facilitating Knowledge Transfer to Policy Makers

Contact Info

Product

Resources

About