基于WWW的ProQuest6.0全文数据库检索系统分析

本文以美国ProQuest公司开发的ProQuest6．0全文数据库检索系统为例，主要分析了其检索性能，指出较之以前版本的新增功能所在，并对其特点进行了评价，提出对中文检索系统发展的一点建议。     

认知建构视角下交互式信息检索模型研究

[目的/意义]信息检索本质上是一个认知过程,研究促进用户认知的交互式信息检索模型具有重要意义。[研究设计/方法]以建构主义理论为指导,以促进用户的认知发展为研究目标,构建了以信息空间层、用户空间层和界面交互层为顶层分析框架的交互式信息检索模型,并开发了原型系统。[结论/发现]实验结果表明原型系统能有效地促进用户对信息空间的探索与挖掘,帮助用户积极主动地进行认知建构,发展认知空间。[创新/价值]将认知建构理论运用于信息检索领域,从交互设计方面对检索系统提出了改进建议,以更好地提供认知支持。     

国际著名检索系统收录我国高校学报的情况分析及应对策略

通过对美国SCI、Ei、MEDLINE、CA 等4种国际著名检索系统收录评价体系及我国高校学报被这4种国际著名检索系统收录情况的分析,认为我国高校学报应从提高学术质量、提升刊物的国际化程度、强化期刊的编排出版规范、缩短出版周期、注意英文写作规范、重视引文分析数据、加强对国际检索机构进行有针对性的宣传并与之动态联系等几方面入手,方能提高被国际著名检索系统收录的可能性.     

Extending WHIRL with background knowledge for improved text classification

Intelligent use of the many diverse forms of data available on the Internet requires new tools for managing and manipulating heterogeneous forms of information. This paper uses WHIRL, an extension of relational databases that can manipulate textual data using statistical similarity measures developed by the information retrieval community. We show that although WHIRL is designed for more general similarity-based reasoning tasks, it is competitive with mature systems designed explicitly for inductive classification. In particular, WHIRL is well suited for combining different sources of knowledge in the classification process. We show on a diverse set of tasks that the use of appropriate sets of unlabeled background knowledge often decreases error rates, particularly if the number of examples or the size of the strings in the training set is small. This is especially useful when labeling text is a labor-intensive job and when there is a large amount of information available about a particular problem on the World Wide Web.

Result merging methods in distributed information retrieval with overlapping databases

In distributed information retrieval systems, document overlaps occur frequently among different component databases. This paper presents an experimental investigation and evaluation of a group of result merging methods including the shadow document method and the multi-evidence method in the environment of overlapping databases. We assume, with the exception of resultant document lists (either with rankings or scores), no extra information about retrieval servers and text databases is available, which is the usual case for many applications on the Internet and the Web. The experimental results show that the shadow document method and the multi-evidence method are the two best methods when overlap is high, while Round-robin is the best for low overlap. The experiments also show that [0,1] linear normalization is a better option than linear regression normalization for result merging in a heterogeneous environment.

从一句话看隐喻的语义识别

"我是回民,我不会吃你的",这句话中蕴涵着深刻的隐喻意义。本文从隐喻意义的识别和推断,对隐喻理解过程中意义的模糊性和民族性进行分析。     

基于Web服务的企业应用集成研究

针对企业信息化过程中存在的"信息孤岛"现象,提出信息集成解决方案,分析企业信息集成的方式和层次,通过引入Web服务和语义Web技术,构建了企业应用集成的两个应用模型,即基于Web服务的EAI模型和基于语义WEB服务的EAI模型,并阐述了模型的组成结构运行机制,以满足企业应用集成需要.     

现代日语量词“本”的认知考察

现代日语量词"本"的原型用法是表示细长物体的量,其扩张用法是表示运动时有轨迹的物体的量,边缘用法则是表示没有具体形状、但是内容上连贯,或时间上先后发生的、属于一个完整事件——比如人类的语言活动"记事"、"连载"、"讲演"等较新事物的量。另外日语中量词的使用,因不同事物,以及同一事物不同状态而不同。     

从焦点角度看古汉语数量结构

数量结构是句中陈述人强调的焦点,无论其位于什么位置。本文从焦点敏感的外在形式和内在语义两方面进行阐述,指出古汉语的数量结构是语义焦点。     

新兴名词性ABB式流行语探微

＂范跑跑＂热传于各种媒体,并派生出一系列相似结构的指称社会热点事件的名词性ABB式流行语。这类新兴的名词性ABB式流行语外在形式一样,但在内部构词语素的搭配上灵活多变,在语义表现及情感功能上丰富多样。它们的发展和流行有其现实依据和理论依据,是语言常规下的一种非常态的使用形式。名词性ABB式流行语有着不同于传统ABB式名词的语用特性。