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.     

基于内容的图像检索之相关标准研究

论述基于内容的图像检索(CBIR)的3类标准：图像压缩标准、查询语言和信息内容描述标准，分析其存在的问题并提出解决方法，最后重点剖析多媒体信息描述国际标准MPEG-7的内容及其在CBIR中的应用。     

中国专利引文数据库的设计与应用

专利文献在公布大量专利技术内容的同时 ,也著录了专利引文的信息。专利引文与申请专利的发明创造密切相关 ,它记录了专利审查员在专利审查过程中 ,发明人在进行发明创造时的智力活动 ,从而全面反映专利文献交流的现状与趋势。为了更好地开发和利用中国专利引文信息资源 ,尽快建立中国专利引文数据库势在必行。本文在此背景下 ,提出建设中国专利引文数据库的总体设计方案 ,以及数据库开发应用的前景     

信息检索中的相关性研究

本文系统地阐述了国外信息检索中的相关性研究 ,具体的论述按照三个阶段展开 ,分别是 195 8年之前的第一阶段 ,195 8— 1976年的第二阶段以及 1976年之后的第三阶段 ;其中每一阶段的阐述又被分为理论与实证两部分     

中国档案置标著录Web检索系统的研究与实现

国内开发档案置标著录的Web检索系统是个空白。本文对中国档案置标著录 (CNEAD)的计算机信息系统进行了具体的研究和实现 ,包括架构在Microsoft.NET框架上的CNEAD系统功能设计、数据库设计、定义文档结构的XMLSchema模式设计、多途径和多入口的Web检索、全宗 类别 案卷 文件的树型结构级联检索。该系统对我国相关标准的制定可起到推动作用。     

温州地方文献的收集与利用

本文系统地回顾与总结了温州市图书馆的地方文献工作，并着重介绍该馆近几年征集与利用过程中行之有效的办法和经验。     

创建基于Microsoft Indexing Service的Web全文检索系统

分析基于Microsoft Indexing Service创建Web全文检索系统的理由及Microsoft Indexing Service的索引机制,并利用Mi-crosoft Visual C#.NET技术给出一个具体实现方案。     

专升本后图书馆的文献资源建设

阐述了专升本后图书馆应更新管理理念，建设馆藏印刷型文献、馆藏数字化文献与网上文献信息三位一体的文献资源体系问题。     

信息检索课课程设计和教学资源整合

提出在信息检索课教学中实行系统设计、资源整合的思想，介绍了作者对教学内容、教学流程和教学媒体的设计，以及对课程教学中各种资源的整合。