大学经典推荐书目的遴选标准与发展特点

[目的/意义] 经典阅读处于学生通识教育的核心环节，大学经典推荐书目在"读什么""怎么读"的核心教育环节发挥着重要作用。分析和确立大学经典推荐书目的遴选标准，探究其发展特点，对于优化经典书目编制、推动经典阅读，具有十分重要的意义。[方法/过程] 通过网络调研和电话访谈梳理部分"双一流"高校的官方经典推荐书目，分析我国高校经典推荐书目的产生过程与背景。[结果/结论] 大学经典推荐书目在遴选上重视中国传统经典，也注重借鉴西方经典；人文社会科学经典与自然科学经典遴选相对均衡；发掘元典书目新生，重视充实有价值的影响书目。同时，在阅读推广实践中，呈现出尊重阅读主体、重视首因效应发挥、丰富创新推介载体，以及差异化、层次化、定制化的发展特点，体现出高校党政领导的重视和图书馆的主动作为。     

Data Visualization as Participatory Research: A Model for Digital Collections to Inspire User-Driven Research

The emerging creative practices of digital collections are increasing in prominence thanks to the access to, and appeal of, data visualizations. Interactive data visualizations, such as a map, timeline, chart, graph, or artist’s rendering of data, enable users to pursue their own research interests within a collection and participate in new areas of research. Use of these data visualizations enhances the scope of the collection and enables a modern and diverse thematic collection to emerge. This article considers the question: Does the addition of data visualizations affect how users participate with a research collection? Impacts on collection development, application of user-centered design, and analysis of users’ exploratory strategies are discussed. Examples of data visualizations used in digital humanities projects and digital collections are presented as case studies.     

协同搜索过程中用户交流内容与模式研究

[目的/意义]旨在分析协同搜索用户在信息搜索任务过程中的交流内容与模式,从而理解协同搜索用户的关注重点与搜索过程。[研究设计/方法]基于书籍交互检索平台(CLEF-Social Book Search)设计实验,共招募18名被试完成两种搜索任务,通过录音记录对话并对其进行编码和分析,总结交流内容特征和模式。结合任务类型、认知类型组合、服务器记录的搜索交互行为日志以及问卷收集的搜索体验进行了探索分析。[结论/发现]从交流内容上看,协同搜索用户主要理解与评判书目信息、商讨搜索任务计划;比起认知类型不同的用户,相同认知类型的用户在操作交互方面交流更多,在评判决策方面交流较少。交流模式依据讨论内容比重可分为理解评判型、评判主导型、均衡交流型三种,评判主导型用户的任务完成满意度最高。[创新/价值]协同搜索用户的交流反映出搜索过程中需要与同伴商讨协同的焦点,也是需要系统提供协助的重点,给协同搜索系统设计提供一定参考。本研究针对协同搜索的交流内容设计的编码系统对相关的协同交流研究也有借鉴意义。     

A Corpus-Based Learning Method of Compound Noun Indexing Rules for Korean

In Korean information retrieval, compound nouns play an important role in improving precision in search experiments. There are two major approaches to compound noun indexing in Korean: statistical and linguistic. Each method, however, has its own shortcomings, such as limitations when indexing diverse types of compound nouns, over-generation of compound nouns, and data sparseness in training. In this paper, we propose a corpus-based learning method, which can index diverse types of compound nouns using rules automatically extracted from a large corpus. The automatic learning method is more portable and requires less human effort, although it exhibits a performance level similar to the manual-linguistic approach. We also present a new filtering method to solve the problems of compound noun over-generation and data sparseness.     

Measuring Search Engine Quality

The effectiveness of twenty public search engines is evaluated using TREC-inspired methods and a set of 54 queries taken from real Web search logs. The World Wide Web is taken as the test collection and a combination of crawler and text retrieval system is evaluated. The engines are compared on a range of measures derivable from binary relevance judgments of the first seven live results returned. Statistical testing reveals a significant difference between engines and high intercorrelations between measures. Surprisingly, given the dynamic nature of the Web and the time elapsed, there is also a high correlation between results of this study and a previous study by Gordon and Pathak. For nearly all engines, there is a gradual decline in precision at increasing cutoff after some initial fluctuation. Performance of the engines as a group is found to be inferior to the group of participants in the TREC-8 Large Web task, although the best engines approach the median of those systems. Shortcomings of current Web search evaluation methodology are identified and recommendations are made for future improvements. In particular, the present study and its predecessors deal with queries which are assumed to derive from a need to find a selection of documents relevant to a topic. By contrast, real Web search reflects a range of other information need types which require different judging and different measures.     

跨语言综合搜索引擎设计

分析了当前网络上信息分布的特点, 对目前相关的技术进行评价。在此基础上, 设计了一个解决网络搜索过程中语言障碍的系统——跨语言综合搜索引擎。     

搜索引擎简析

在介绍搜索引擎定义和主要技术基础上,阐述了搜索引擎的分类和主要工作原理,并对其发展趋势做了简单预测。     

关于信息技术与课程整合的思考与实践

本文主要介绍信息技术与课程整合的意义,以及在电子信息专业的课程教学中运用信息技术来提高教学效果。     

田径教学训练大纲综合评定软件的研制

在IBM—PC/XT286及其兼容机上,在UCDOS 支持下,以汉字DBASE-Ⅲ语言编写而成。主要包括:使用信息、运动员成绩计算及打印、运动员成绩查询与打印。测试运动员年龄段为13～17岁。测试项目为短跑、中长跑、竞走、跨栏、跳高、跳远、三级跳远(男)、撑竿跳高(男)、铅球、标枪、铁饼、链球(男)。软件的研制成功,大大提高了田径教学训练大纲综合评定的运算速度,避免了人工计算时可能出现的错误,是大纲测试有力助手。     

网络信息环境下馆藏评价标准的变革

文章以现代图书馆馆藏建设的变革为切入口，评析了传统馆藏评价标准。这些基础上重点探讨了网络信息环境下馆藏评价标准的变革。