The key activity to build semantic web is to build ontologies. But today, the theory and methodology of ontology construction is still far from ready. This paper proposed a theoretical framework for massive knowledge ...The key activity to build semantic web is to build ontologies. But today, the theory and methodology of ontology construction is still far from ready. This paper proposed a theoretical framework for massive knowledge management- the knowledge domain framework （KDF）, and introduces an integrated development environment （IDE） named large-scale ontology development environment （LODE）, which implements the proposed theoretical framework. We also compared LODE with other popular ontology development environments in this paper. The practice of using LODE on management and development of agriculture ontologies shows that knowledge domain framework can handle the development activities of large scale ontologies. Application studies based on the described briefly. principle of knowledge domain framework and LODE was展开更多
Advanced sensing,data analysis and communication techniques have led to the emergence and tremendous develop-ment of industrial internet of things(IIoT)in recent years,which raises revolution in condition monitoring a...Advanced sensing,data analysis and communication techniques have led to the emergence and tremendous develop-ment of industrial internet of things(IIoT)in recent years,which raises revolution in condition monitoring and maintenance for electrical assets.An open ecosystem for future IIoT is proposed in this paper and the architecture of the open ecosystem is discussed.An open development environment needs to be established for users to interact with power devices and servers freely via web or mobile applications installed on user terminals,increasing IIoT scalability and flexibility.The core technologies of open ecosystem in future IIoT are discussed,which include comprehensive sensing techniques,wide-area communication tools,Big Data service infrastructure,data analysis algorithms and intelligent maintenance schemes.An application of future IIoT ecosystem in wind farm maintenance is then presented.It is demonstrated that the efficiency and effectiveness of wind farm maintenance can be improved with the support of open ecosystem of future IIoT,providing an innovative insight for electrical assets monitoring and maintenance with high reliability.展开更多
基金supported by the Key Technology R&D Program of China during the 12th Five-Year Plan period:Super-Class Scientific and Technical Thesaurus and Ontology Construction Faced the Foreign Scientific and Technical Literature (2011BAH10B01)
文摘The key activity to build semantic web is to build ontologies. But today, the theory and methodology of ontology construction is still far from ready. This paper proposed a theoretical framework for massive knowledge management- the knowledge domain framework （KDF）, and introduces an integrated development environment （IDE） named large-scale ontology development environment （LODE）, which implements the proposed theoretical framework. We also compared LODE with other popular ontology development environments in this paper. The practice of using LODE on management and development of agriculture ontologies shows that knowledge domain framework can handle the development activities of large scale ontologies. Application studies based on the described briefly. principle of knowledge domain framework and LODE was
基金This work was supported in part by the Beijing Municipal Natural Science Foundation(L161002)and in part by the National Natural Science Foundation of China under Grant 51822705,51777112 and 61703227.
文摘Advanced sensing,data analysis and communication techniques have led to the emergence and tremendous develop-ment of industrial internet of things(IIoT)in recent years,which raises revolution in condition monitoring and maintenance for electrical assets.An open ecosystem for future IIoT is proposed in this paper and the architecture of the open ecosystem is discussed.An open development environment needs to be established for users to interact with power devices and servers freely via web or mobile applications installed on user terminals,increasing IIoT scalability and flexibility.The core technologies of open ecosystem in future IIoT are discussed,which include comprehensive sensing techniques,wide-area communication tools,Big Data service infrastructure,data analysis algorithms and intelligent maintenance schemes.An application of future IIoT ecosystem in wind farm maintenance is then presented.It is demonstrated that the efficiency and effectiveness of wind farm maintenance can be improved with the support of open ecosystem of future IIoT,providing an innovative insight for electrical assets monitoring and maintenance with high reliability.
