给出了一个石油管理领域应用的面向对象公共数据模型 PDMM(petroleum data model for management) ,论述了元模型的建立与表达、类结构组织和实体定义、属性及约束规则等模型构筑技术 .强调了通过引入“活动”、“特性”等超类使模型具...给出了一个石油管理领域应用的面向对象公共数据模型 PDMM(petroleum data model for management) ,论述了元模型的建立与表达、类结构组织和实体定义、属性及约束规则等模型构筑技术 .强调了通过引入“活动”、“特性”等超类使模型具有强大描述能力的特色 ,给出了模型的 EXPRESS语言描述方法 .展开更多
完全句法分析是自然语言处理(Natural language processing, NLP)中重要的结构化过程,由于中文电子病历(Chinese electronic medical record, CEMR)句法标注语料匮乏,目前还没有面向中文电子病历的完全句法分析研究.本文针对中文电子病...完全句法分析是自然语言处理(Natural language processing, NLP)中重要的结构化过程,由于中文电子病历(Chinese electronic medical record, CEMR)句法标注语料匮乏,目前还没有面向中文电子病历的完全句法分析研究.本文针对中文电子病历模式化强的子语言特征,首次以树片段形式化中文电子病历复用的模式,提出了面向数据句法分析(Dataoriented parsing, DOP)和层次句法分析融合模型.在树片段抽取阶段,提出效率更高的标准树片段和局部树片段抽取算法,分别解决了标准树片段的重复比对问题,以及二次树核(Quadratic tree kernel, QTK)的效率低下问题,获得了标准树片段集和局部树片段集.基于上述两个树片段集,提出词汇和词性混合匹配策略和最大化树片段组合算法改进面向数据句法分析模型,缓解了无效树片段带来的噪声.实验结果表明,该融合模型能够有效改善中文电子病历句法分析效果,基于少量标注语料F1值能够达到目前最高的80.87%,并且在跨科室句法分析上超过Stanford parser和Berkeley parser 2%以上.展开更多
The bases of distributed parallel network data storage technology(DPNDS) are high speed network tech-nology, database technology, artificial intelligence and multimedia technology. It will become the foundation of mod...The bases of distributed parallel network data storage technology(DPNDS) are high speed network tech-nology, database technology, artificial intelligence and multimedia technology. It will become the foundation of mod-ern information society because of the excellent management efficiency, reliability, availability, expansibility and lowcost. In this paper, we discuss the key technology of DPNDS which includes data distributing, parallel data process-ing, data network storage, object-oriented data storage and then give some suggestions about the new research direc-tion.展开更多
文摘给出了一个石油管理领域应用的面向对象公共数据模型 PDMM(petroleum data model for management) ,论述了元模型的建立与表达、类结构组织和实体定义、属性及约束规则等模型构筑技术 .强调了通过引入“活动”、“特性”等超类使模型具有强大描述能力的特色 ,给出了模型的 EXPRESS语言描述方法 .
文摘The bases of distributed parallel network data storage technology(DPNDS) are high speed network tech-nology, database technology, artificial intelligence and multimedia technology. It will become the foundation of mod-ern information society because of the excellent management efficiency, reliability, availability, expansibility and lowcost. In this paper, we discuss the key technology of DPNDS which includes data distributing, parallel data process-ing, data network storage, object-oriented data storage and then give some suggestions about the new research direc-tion.
