基于网络的集成化信息检索

集成化信息检索是以信息集成与服务集成为显著特征,以达到知识共享的最大化为目的,实现对由互联网连接起来的数字资源库群的分布式管理及跨平台、跨语种的网络化存取。参考文献7。     

学科信息门户:概念、结构与关键技术

以信息与应用高度集成、个性化和智能化为显著特征的新一代学科信息门户系统框架正在成为构建基于WWW的专业数字图书馆的理想模式。网络信息技术如门户构件、跨系统集成检索、元搜索引擎和智能代理等技术的迅速发展,为构建学科信息门户提供了关键技术支撑。图4。参考文献9。     

再论个人数字图书馆

作者在历时5年、建成容量60个G的多媒体个人数字图书馆的实践基础上，论述了个人数字图书馆的类型、特性、必要性、可行性及其对图书馆学研究和高校文献检索课的影响。     

专题型搜索引擎用户分析

通过对专题型搜索引擎的用户进行问卷调查,基于调查结果的统计与分析,从用户的视角来考察和评价当前专题引擎的发展现状,并以此为依据,对专题引擎的发展提出建议。     

智能检索中的网络数据挖掘技术探索

缺少一种深入信息内容的网络信息搜索工具 ,是实现智能检索的主要困难。采用网络数据挖掘技术是解决问题的关键。从智能信息检索的角度出发 ,主要考虑从网络信息内容的关联度来挖掘网络数据。图 1。表 1。参考文献 7。     

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��[Purpose/significance] Under the background of open innovation, the market competition of platform enterprises is becoming more and more fierce, the platform homogeneity is serious, the user flow is drying up day by day, and the growth is difficult. The lack of innovation resources and capability in the platform enterprises can't effectively support the business model innovation of enterprises. In this context, boundary-spanning search and big data capability construction provide a strong support for business model innovation of platform enterprises.[Method/process] Through literature related to boundary-spanning search, big data capability and business model innovation was review.Based on the elements of business model of platform enterprises, a synergistic model of boundary-spanning search and big data capability was constructed.[Result/conclusion] Boundary-spanning search is helpful to innovative knowledge flow and obtain innovative resources. Big data capability can complete resource integration and analysis in-depth. The synergistic effect of the two can promote the discovery of new knowledge in the market and facilitate the innovation of business model of platform enterprises.     

“入世”与应用写作的变化及特点

我国加入世贸组织以后,应用写作必将发生变化,对应用文作者、应用文写作中思想方法及书写手段等都提出了新要求。     

基于本体的论文检索系统的设计与实现

运用本体理论对计算机学科领域中的数据结构进行本体描述，探讨其本体库的构建过程，并在此基础上设计和实现基于本体的试验性论文检索系统，提高系统的检索性能。     

WWW检索工具比较研究

近年来,随着ＷＷＷ技术的广泛应用,使得Ｉｎｔｅｒｎｅｔ迅速发展。作为Ｉｎｔｅｒｎｅｔ网上的信息查找途径,ＷＷＷ检索站点已成为Ｉｎｔｅｒｎｅｔ网上最繁忙的站点之一。本文选取了Ｙａｈｏｏ、ＡｌｔａＶｉｓｔａ、Ｅｘｃｉｔｅ、ＨｏｔＢｏｔ、Ｉｎｆｏｓｅｋ、Ｌｙｃｏｓ、ＯｐｅｎＴｅｘｔ、ＷｅｂＣｒａｗｌｅｒ及ＭｅｔａＣｒａｗｌｅｒ等九个著名的ＷＷＷ检索工具,通过上网实验,分析比较各工具检索引擎的特点,并从用户角度指出检索引擎现阶段存在的问题。最后对开发我国的ＷＷＷ检索工具提出了建议     

Search on surfaces: Exploring the potential of interactive tabletops for collaborative search tasks

Collaborative information seeking often takes place in co-located settings; such opportunities may be planned (business colleagues meeting in a conference room or students working together in a library) or spontaneous (family members gathered in their living room or friends meeting at a café). Surface computing technologies (i.e., interactive tabletops) hold great potential for enhancing collaborative information seeking activities. Such devices provide engaging direct manipulation interactions, facilitate awareness of collaborators’ activities, and afford spatial organization of content. However, current tabletop technologies also present several challenges that creators of collaborative information seeking system must account for in their designs. In this article, we explore the design space for collaborative search systems on interactive tabletops, discussing the benefits and challenges of creating search applications for these devices. We discuss how features of our tabletop search prototypes TeamSearch, FourBySix Search, Cambiera, and WeSearch, illustrate different aspects of this design space.