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Towards a Smallest Scale of Context in Ontology Integration
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作者 XIAO Ruliang TANG Shengqun 《Wuhan University Journal of Natural Sciences》 CAS 2008年第4期407-411,共5页
In order to solve the ambiguity problems in the semantic context (structure, granularity or scale) emerging in the process of ontology integration application, this paper analyzes the essential characters of context... In order to solve the ambiguity problems in the semantic context (structure, granularity or scale) emerging in the process of ontology integration application, this paper analyzes the essential characters of context structure, proposes a novel semantic context generating algorithm, which is implemented over VO-Editor(visual ontology editor), from the satisfiability-based point of view, and proves that the context entity generated by this algorithm is smallest in scale and unique. It offers a feasible means for developers to handle context problems for ontology integration application. 展开更多
关键词 ontology integration application context structure generating algorithm smallest scale of context
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An integrated framework for automatic green building evaluation:A case study of China
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作者 Qiufeng HE Zezhou WU Xiangsheng CHEN 《Frontiers of Engineering Management》 CSCD 2024年第2期269-287,共19页
With the burgeoning emphasis on sustainable construction practices in China,the demand for green building assessment has significantly escalated.The overall evaluation process comprises two key components:The acquisit... With the burgeoning emphasis on sustainable construction practices in China,the demand for green building assessment has significantly escalated.The overall evaluation process comprises two key components:The acquisition of evaluation data and the evaluation of green scores,both of which entail considerable time and effort.Previous research predominantly concentrated on automating the latter process,often neglecting the exploration of automating the former in accordance with the Chinese green building assessment system.Furthermore,there is a pressing requirement for more streamlined management of structured standard knowledge to facilitate broader dissemination.In response to these challenges,this paper presents a conceptual framework that integrates building information modeling,ontology,and web map services to augment the efficiency of the overall evaluation process and the management of standard knowledge.More specifically,in accordance with the Assessment Standard for Green Building(GB/T 50378-2019)in China,this study innovatively employs visual programming software,Dynamo in Autodesk Revit,and the application programming interface of web map services to expedite the acquisition of essential architectural data and geographic information for green building assessment.Subsequently,ontology technology is harnessed to visualize the management of standard knowledge related to green building assessment and to enable the derivation of green scores through logical reasoning.Ultimately,a residential building is employed as a case study to validate the theoretical and technical feasibility of the developed automated evaluation conceptual framework for green buildings.The research findings hold valuable utility in providing a self-assessment method for applicants in the field. 展开更多
关键词 automatic evaluation green building BIM web map service ontology inference application
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