Heterogeneous data,different definitions and incompatible models are a huge problem in many domains,with no exception for the field of energy systems analysis.Hence,it is hard to re-use results,compare model results o...Heterogeneous data,different definitions and incompatible models are a huge problem in many domains,with no exception for the field of energy systems analysis.Hence,it is hard to re-use results,compare model results or couple models at all.Ontologies provide a precisely defined vocabulary to build a common and shared conceptu-alisation of the energy domain.Here,we present the Open Energy Ontology(OEO)developed for the domain of energy systems analysis.Using the OEO provides several benefits for the community.First,it enables consistent annotation of large amounts of data from various research projects.One example is the Open Energy Platform(OEP).Adding such annotations makes data semantically searchable,exchangeable,re-usable and interoperable.Second,computational model coupling becomes much easier.The advantages of using an ontology such as the OEO are demonstrated with three use cases:data representation,data annotation and interface homogenisation.We also describe how the ontology can be used for linked open data(LOD).展开更多
基金This work was supported by grants from the Federal Ministry for Economic Affairs and Energy of Germany(BMWi)for the projects SzenarienDB(03ET4057A-D),LOD-GEOSS(03EI1005A-G)and SIROP(03EI1035A-D).
文摘Heterogeneous data,different definitions and incompatible models are a huge problem in many domains,with no exception for the field of energy systems analysis.Hence,it is hard to re-use results,compare model results or couple models at all.Ontologies provide a precisely defined vocabulary to build a common and shared conceptu-alisation of the energy domain.Here,we present the Open Energy Ontology(OEO)developed for the domain of energy systems analysis.Using the OEO provides several benefits for the community.First,it enables consistent annotation of large amounts of data from various research projects.One example is the Open Energy Platform(OEP).Adding such annotations makes data semantically searchable,exchangeable,re-usable and interoperable.Second,computational model coupling becomes much easier.The advantages of using an ontology such as the OEO are demonstrated with three use cases:data representation,data annotation and interface homogenisation.We also describe how the ontology can be used for linked open data(LOD).
