基于本体论的数字图书馆搜索引擎的研究     

赵亚莉  魏淑琴 《现代情报》2007,27(8):104-106

基于本体（ontology）理论,利用本体对概念、术语及其相互关系的规范化描述,勾画出数字图书馆领域的基本知识体系,构建了数字图书馆领域本体库;然后,对现有的图书馆搜索引擎系统进行了改进,将构建的本体库引入到系统中,实现了基于本体的信息检索,方便用户对资源的查询,为用户提供高质量的个性化服务。  相似文献   

临界频率和非临界频率——频率和语法化关系的重新审视   总被引：1，自引：0，他引：1  

彭睿 《中国语文》2011,(1)

以往人们对频率—语法化关系的研究多建立在笼统意义的频率基础上,这在理论和实证上都遇到了问题。频率对语法化的影响是通过语用推理来实现的,因而有必要区分语法化项在具备语用推理条件和不具备语用推理条件两种环境下的频率,即临界频率和非临界频率。语法化受到前者的直接推动,但与后者并无关联。  相似文献   

语义web环境下语义推理的研究与实现   总被引：1，自引：0，他引：1  

汤怡洁  周子健 《图书馆杂志》2011,(3):69-75,64

从语义推理技术入手,主要针对描述逻辑、推理算法和推理机三个方面进行了研究分析。在此基础上,本文进行了语义推理原型系统的设计与实现。系统在语义分析模块中利用语义推理进行检索词的规范和扩展,在语义检索模块通过语义推理挖掘关联隐含知识。通过语义推理原型系统的构建,利用专用推理机Pellet与Jena推理子系统层叠的方式进行语义推理,为今后各种知识服务系统的语义推理提供参考依据。  相似文献   

基于R-R技术的腐败程度统计推断     

赵开斌  方葆青 《巢湖学院学报》2009,11(6):1-3

本文借助于敏感性问题调查技术--随机化问题回答技术(R-R技术)对局部部门(领域)的腐败程度进行统计推断,客观评估部门(领域)腐败实际状况,对构建腐败治理的测评体系将会起到一定的作用.  相似文献   

话语标记You know的话语功能分析     

李桔元  李鸿雁 《重庆师专学报》2006,5(6):59-62

话语标记（discourse markers）是国外会话分析、语用学研究的一个新领域。从会话互动和认知推理的角度对话语标记you know的话语功能进行了研究，结论认为它是多功能的，包括隐含推理功能、人际功能、话语修正功能和话语管理功能。这几种功能是相互联系的，后三者几乎可以从隐含推理功能中找到解释。  相似文献   

语境理论的新发展--认知语境   总被引：1，自引：0，他引：1  

吕郑芳  李永国 《烟台职业学院学报》2005,11(3):45-48

语境是语用学中的一个重要概念。语境是动态的,在言语交际中是一个变量;理解言语的过程就是在语境与新信息之间所作的推理过程。  相似文献   

会话含义的语用阐释     

魏月红 《安徽职业技术学院学报》2005,4(2):38-39

根据格莱斯的会话含义理论,含义可以给语言事实提供一些其他理论所鞭长莫及的功能性解释。文章从会话含义的定义、分类、违反原则及含义推导等方面对其作了分析,并运用关联论推导会话含义,解释语言交际。  相似文献   

基于模糊推理的智能楼宇安防系统的设计     

彭远强 《大众科技》2012,(8):1-3

针对智能楼宇安防系统高智能和高精度的设计需求,提出了基于模糊推理的智能楼宇安防系统设计方案,构建了模糊推理系统的组成结构.针对智能楼宇的特定应用环境,分析了各种安防控制的参数采集和处理过程.设计了模糊推理系统中的推理机制以及模糊推理规则,实现了一个高度智能化的楼宇安防系统.  相似文献   

Near-duplicate video detection featuring coupled temporal and perceptual visual structures and logical inference based matching     

Mohammed Belkhatir  Bashar Tahayna 《Information processing & management》2012

We propose in this paper an architecture for near-duplicate video detection based on: (i) index and query signature based structures integrating temporal and perceptual visual features and (ii) a matching framework computing the logical inference between index and query documents. As far as indexing is concerned, instead of concatenating low-level visual features in high-dimensional spaces which results in curse of dimensionality and redundancy issues, we adopt a perceptual symbolic representation based on color and texture concepts. For matching, we propose to instantiate a retrieval model based on logical inference through the coupling of an N-gram sliding window process and theoretically-sound lattice-based structures. The techniques we cover are robust and insensitive to general video editing and/or degradation, making it ideal for re-broadcasted video search. Experiments are carried out on large quantities of video data collected from the TRECVID 02, 03 and 04 collections and real-world video broadcasts recorded from two German TV stations. An empirical comparison over two state-of-the-art dynamic programming techniques is encouraging and demonstrates the advantage and feasibility of our method.  相似文献   

Instrumental Variables Two-Stage Least Squares (2SLS) vs. Maximum Likelihood Structural Equation Modeling of Causal Effects in Linear Regression Models     

Alberto Maydeu-Olivares  Dexin Shi  Yves Rosseel 《Structural equation modeling》2013,20(6):876-892

In the presence of omitted variables or similar validity threats, regression estimates are biased. Unbiased estimates (the causal effects) can be obtained in large samples by fitting instead the Instrumental Variables Regression (IVR) model. The IVR model can be estimated using structural equation modeling (SEM) software or using Econometric estimators such as two-stage least squares (2SLS). We describe 2SLS using SEM terminology, and report a simulation study in which we generated data according to a regression model in the presence of omitted variables and fitted (a) a regression model using ordinary least squares, (b) an IVR model using maximum likelihood (ML) as implemented in SEM software, and (c) an IVR model using 2SLS. Coverage rates of the causal effect using regression methods are always unacceptably low (often 0). When using the IVR model, accurate coverage is obtained across all conditions when N = 500. Even when the IVR model is misspecified, better coverage than regression is generally obtained. Differences between 2SLS and ML are small and favor 2SLS in small samples (N ≤ 100).  相似文献