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
In complicated application environment such as CIMS (Computer Integrated Manufacture System) enterprise, it will bring great benefits to integrate distributed knowledge sources. But the difficulties of knowledge shari...In complicated application environment such as CIMS (Computer Integrated Manufacture System) enterprise, it will bring great benefits to integrate distributed knowledge sources. But the difficulties of knowledge sharing and reuse seriously encumbrance the implementation of knowledge integration. In this paper, we describe how a framework of knowledge-integrated system based on ontology (KISO) can be used to support integrating distributed knowledge sources.展开更多
Purpose:With the deep integration of information technologies into urban governance,smart communities have emerged as pivotal platforms for advancing sustainable urban development.However,existing research has not off...Purpose:With the deep integration of information technologies into urban governance,smart communities have emerged as pivotal platforms for advancing sustainable urban development.However,existing research has not offered a systematic analysis or clear presentation of the field’s academic evolution and thematic structure.This study examines the literature on smart communities published between 2000 and 2024.Employing data analysis and visualization tools,it aims to trace the evolution and development trends of smart community research,map its core themes and their interrelationships,and provide actionable insights for policymaking and practical implementation.Design/methodology/approach:Based on 2,347 publications indexed in the Web of Science from 2000 to 2024,this study employed CiteSpace and VOSviewer to conduct co-citation analysis,keyword co-occurrence mapping,national collaboration network analysis,author and institutional contribution assessment,burst detection,and hotspot term analysis.The literature screening adhered to predefined publication-type criteria and citation-count thresholds to ensure that the results were representative and reliable.Findings:This study,through literature analysis and data visualization in the field of smart communities,yields the following principal conclusions.First,the application of digital twin technology in optimizing smart community resources has attracted growing attention,demonstrating considerable potential in urban management,infrastructure maintenance,and resident services.Second,as technology advances,digitaltwin applications are evolving towards greater precision and efficiency,particularly by deepening their support for resource allocation and decision-making processes.Finally,the future development of smart communities will increasingly depend on the deep integration of digital twins with other cutting-edge technologies,thereby driving intelligent management and optimization of community resources.Research limitations:This literature repository excludes grey literature and non-English publications,potentially underestimating the representativeness of grassroots innovation.Furthermore,the temporal analysis was constrained by the citation-lag effects of publications from 2000 to 2024.Practical implications:This study proposes a decision-support toolkit tailored for municipal planners and policymakers.The toolkit comprises three core intervention strategies:multiscale environmental sensing,participatory governance protocols,and regenerative technology pathways.These measures are designed to advance the implementation of the United Nations Sustainable Development Goal 11:Sustainable Cities and Communities.Originality/value:By explicitly defining and applying the“thematic knowledge framework,”this paper offers a concise roadmap for the evolution of smart community research.It also provides precise guidance for designing and implementing community development strategies that align with Sustainable Development Goals.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
文摘In complicated application environment such as CIMS (Computer Integrated Manufacture System) enterprise, it will bring great benefits to integrate distributed knowledge sources. But the difficulties of knowledge sharing and reuse seriously encumbrance the implementation of knowledge integration. In this paper, we describe how a framework of knowledge-integrated system based on ontology (KISO) can be used to support integrating distributed knowledge sources.
基金funded by Zhejiang Province(grant number jg20220704)Wenzhou University of Technology(grant number ky202415).
文摘Purpose:With the deep integration of information technologies into urban governance,smart communities have emerged as pivotal platforms for advancing sustainable urban development.However,existing research has not offered a systematic analysis or clear presentation of the field’s academic evolution and thematic structure.This study examines the literature on smart communities published between 2000 and 2024.Employing data analysis and visualization tools,it aims to trace the evolution and development trends of smart community research,map its core themes and their interrelationships,and provide actionable insights for policymaking and practical implementation.Design/methodology/approach:Based on 2,347 publications indexed in the Web of Science from 2000 to 2024,this study employed CiteSpace and VOSviewer to conduct co-citation analysis,keyword co-occurrence mapping,national collaboration network analysis,author and institutional contribution assessment,burst detection,and hotspot term analysis.The literature screening adhered to predefined publication-type criteria and citation-count thresholds to ensure that the results were representative and reliable.Findings:This study,through literature analysis and data visualization in the field of smart communities,yields the following principal conclusions.First,the application of digital twin technology in optimizing smart community resources has attracted growing attention,demonstrating considerable potential in urban management,infrastructure maintenance,and resident services.Second,as technology advances,digitaltwin applications are evolving towards greater precision and efficiency,particularly by deepening their support for resource allocation and decision-making processes.Finally,the future development of smart communities will increasingly depend on the deep integration of digital twins with other cutting-edge technologies,thereby driving intelligent management and optimization of community resources.Research limitations:This literature repository excludes grey literature and non-English publications,potentially underestimating the representativeness of grassroots innovation.Furthermore,the temporal analysis was constrained by the citation-lag effects of publications from 2000 to 2024.Practical implications:This study proposes a decision-support toolkit tailored for municipal planners and policymakers.The toolkit comprises three core intervention strategies:multiscale environmental sensing,participatory governance protocols,and regenerative technology pathways.These measures are designed to advance the implementation of the United Nations Sustainable Development Goal 11:Sustainable Cities and Communities.Originality/value:By explicitly defining and applying the“thematic knowledge framework,”this paper offers a concise roadmap for the evolution of smart community research.It also provides precise guidance for designing and implementing community development strategies that align with Sustainable Development Goals.
