电子政务动态信息采集模型的研究

电子政务动态信息采集模型的设计,要有高效、便利的信息采集平台,支持多种数据格式,提供丰富的检索手段,有支持数字信息的安全管理与审核机制,有开放的多元化的信息资源发布平台,提供资源整合手段。其各项功能由6个子模块提供。图1。参考文献7。     

基于协同理论的企业信息系统集成框架

协同理论有两层含义:企业内部资源协同,企业外部资源协同即供应链的协同。以协同理论和信息系统的集成方法为依托,提出制造业企业信息系统集成的框架。框架基于数据挖掘技术和Web Services技术,内部协同框架表现为企业应用集成,外部协同框架表现为协同商务平台。整个框架提高了企业内外部信息传递和沟通的有效性,保证了供应链上各个环节信息的有效收集和传递,实现了企业价值增值。图2。参考文献7。     

Multilingual modeling of cross-lingual spelling variants

Technical term translations are important for cross-lingual information retrieval. In many languages, new technical terms have a common origin rendered with different spelling of the underlying sounds, also known as cross-lingual spelling variants (CLSV). To find the best CLSV in a text database index, we contribute a formulation of the problem in a probabilistic framework, and implement this with an instance of the general edit distance using weighted finite-state transducers. Some training data is required when estimating the costs for the general edit distance. We demonstrate that after some basic training our new multilingual model is robust and requires little or no adaptation for covering additional languages, as the model takes advantage of language independent transliteration patterns. We train the model with medical terms in seven languages and test it with terms from varied domains in six languages. Two test languages are not in the training data. Against a large text database index, we achieve 64–78 % precision at the point of 100% recall. This is a relative improvement of 22% on the simple edit distance.     

Two-stage statistical language models for text database selection

As the number and diversity of distributed Web databases on the Internet exponentially increase, it is difficult for user to know which databases are appropriate to search. Given database language models that describe the content of each database, database selection services can provide assistance in locating databases relevant to the information needs of users. In this paper, we propose a database selection approach based on statistical language modeling. The basic idea behind the approach is that, for databases that are categorized into a topic hierarchy, individual language models are estimated at different search stages, and then the databases are ranked by the similarity to the query according to the estimated language model. Two-stage smoothed language models are presented to circumvent inaccuracy due to word sparseness. Experimental results demonstrate that such a language modeling approach is competitive with current state-of-the-art database selection approaches.     

图书情报学与传播学理论交叉研究综述

在调研近十几年传播学与图书情报学交叉研究论文的基础上，对传播学与图书情报学的学科比较研究、学科交叉研究等方面进行综述，并对发展趋势作出预测。     

基于数字资源的期刊联合目录数据库建设

为今后深入开展期刊信息资源整合机制方面的研究，本文从数据的收集、数据的规范和整合两方面探讨创建一个以期刊为纽带的链接数据库的方法、途径和实施步骤，并对此链接数据库未来的发展方向进行展望。     

从两次ACA分析看情报科学的发展

就美国情报学家怀特(White)分别于1981年、1998年进行的两次ACA(作者同被引分析)结果的差异进行分析，并对情报科学的发展脉络及变化趋势进行探讨。     

河北省高校图书馆信息供给能力调研

对河北省23所高校2000名大学生进行问卷调查，针对反馈结果进行统计分析，对于省内各高校连续几年扩招，办学规模急速扩大背景下的信息供给现状作出较客观的评估，供有关部门、人士参考。     

近5年《图书情报工作》引文分析的若干问题

通过对1998-2002年《图书情报工作》引文之引用文献、引用语种、自引、最佳馆藏期刊、引用高峰期、老化规律等情况的分类统计分析，得出我国图书馆学情报学的核心期刊、重要文献和学术带头人。