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
With the explosive growth of data available, there is an urgent need to develop continuous data mining which reduces manual interaction evidently. A novel model for data mining is proposed in evolving environment. Fir...With the explosive growth of data available, there is an urgent need to develop continuous data mining which reduces manual interaction evidently. A novel model for data mining is proposed in evolving environment. First, some valid mining task schedules are generated, and then au tonomous and local mining are executed periodically, finally, previous results are merged and refined. The framework based on the model creates a communication mechanism to in corporate domain knowledge into continuous process through ontology service. The local and merge mining are transparent to the end user and heterogeneous data ,source by ontology. Experiments suggest that the framework should be useful in guiding the continuous mining process.展开更多
目的:探讨理论域框架(TDF)在质性研究中的应用。方法:系统检索中国知网、万方数据知识服务平台、PubMed及Web of Science中使用TDF探讨临床护理行为发生及改变影响因素的相关质性研究,采用描述性分析方法对结果进行整合,分析TDF在质性...目的:探讨理论域框架(TDF)在质性研究中的应用。方法:系统检索中国知网、万方数据知识服务平台、PubMed及Web of Science中使用TDF探讨临床护理行为发生及改变影响因素的相关质性研究,采用描述性分析方法对结果进行整合,分析TDF在质性研究中的应用状况。结果:共纳入22篇文献,其中17篇文献基于TDF制定访谈提纲;数据分析方面,11篇文献采用了TDF应用指南推荐的两阶段式数据分析方法,4篇文献采用了定向内容分析法,2篇文献采用了框架分析法;质量控制方面,18篇文献使用了NVIVO软件或其他定性分析软件辅助进行数据管理与分析,3篇文献计算了一致性系数,2篇文献使用了三角测量技术,6篇文献确定了理论领域相关性。结论:TDF可以用于指导质性研究设计,解决实施中的行为改变问题,促进临床循证护理工作的实施。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Supported by the National Natural Science Foun-dation of China (60173058 ,70372024)
文摘With the explosive growth of data available, there is an urgent need to develop continuous data mining which reduces manual interaction evidently. A novel model for data mining is proposed in evolving environment. First, some valid mining task schedules are generated, and then au tonomous and local mining are executed periodically, finally, previous results are merged and refined. The framework based on the model creates a communication mechanism to in corporate domain knowledge into continuous process through ontology service. The local and merge mining are transparent to the end user and heterogeneous data ,source by ontology. Experiments suggest that the framework should be useful in guiding the continuous mining process.
文摘目的:探讨理论域框架(TDF)在质性研究中的应用。方法:系统检索中国知网、万方数据知识服务平台、PubMed及Web of Science中使用TDF探讨临床护理行为发生及改变影响因素的相关质性研究,采用描述性分析方法对结果进行整合,分析TDF在质性研究中的应用状况。结果:共纳入22篇文献,其中17篇文献基于TDF制定访谈提纲;数据分析方面,11篇文献采用了TDF应用指南推荐的两阶段式数据分析方法,4篇文献采用了定向内容分析法,2篇文献采用了框架分析法;质量控制方面,18篇文献使用了NVIVO软件或其他定性分析软件辅助进行数据管理与分析,3篇文献计算了一致性系数,2篇文献使用了三角测量技术,6篇文献确定了理论领域相关性。结论:TDF可以用于指导质性研究设计,解决实施中的行为改变问题,促进临床循证护理工作的实施。