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基于引文的信息检索可视化系统设计与实现 总被引：1，自引：0，他引：1
针对新的环境下用户信息需求的特点,设计并实现了具有个性化服务特色的基于引文的信息检索可视化系统,包括系统目标、体系结构、工作流程、核心功能模块及关键技术等,为相关检索可视化系统的进一步研究奠定基础. 相似文献
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在对现有可视化信息检索系统比较分析的基础上,依据相似点将它们与网络导航系统———网上信息地图相兼容,从而形成动态的网络可视化信息检索系统。 相似文献
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文献间的相互引用作为知识流动中的一种重要方式,不仅扩大了知识溢出,同时也为知识增殖提供了条件。以信息检索领域作为研究对象,以Web of Science数据库中引用信息检索领域的奠基人之Gerard Salton的引文作为研究对象,探讨了信息检索领域中的知识溢出,并通过词频统计分析引文的研究热点。鉴于Gerard Salton是向量空间模型的创始人,进一步分析了引文中研究向量空间模型的引文,具体研究了其知识增殖状况。最后,基于上面的结论总结了知识流动中知识链的两个节点——前沿载文和知识基础,并探讨了前沿载文中的研究前沿问题,且初步预测了未来信息检索领域的研究前沿。 相似文献
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对国外音乐信息检索可视化的起源、相关技术及应用的研究进展进行综述,深入分析音乐信息检索可视化涉及的3个主要技术--音乐内容特征和情感特征的提取与分类技术、可视化映射技术和可视化交互技术,重点探讨音乐信息检索可视化的应用及实现路径,介绍几种音乐信息检索可视化的工具或软件,并对音乐信息检索可视化的发展方向进行展望. 相似文献
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Previous studies have repeatedly demonstrated that the relevance of a citing document is related to the number of times with which the source document is cited. Despite the ease with which electronic documents would permit the incorporation of this information into citation-based document search and retrieval systems, the possibilities of repeated citations remain untapped. Part of this under-utilization may be due to the fact that very little is known regarding the pattern of repeated citations in scholarly literature or how this pattern may vary as a function of journal, academic discipline or self-citation. The current research addresses these unanswered questions in order to facilitate the future incorporation of repeated citation information into document search and retrieval systems. Using data mining of electronic texts, the citation characteristics of nine different journals, covering the three different academic fields (economics, computing, and medicine & biology), were characterized. It was found that the frequency (f) with which a reference is cited N or more times within a document is consistent across the sampled journals and academic fields. Self-citation causes an increase in frequency, and this effect becomes more pronounced for large N. The objectivity, automatability, and insensitivity of repeated citations to journal and discipline, present powerful opportunities for improving citation-based document search. 相似文献
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This paper reviews the career and legacy of William (Bill) Goffman, who served as a researcher, Professor, Dean and Emeritus at Case Western Reserve University, Cleveland, Ohio, from 1959 to 2000. Goffman pioneered mathematical information science broadly and in several key areas. First, he applied disease epidemiology concepts to model accurately the spread of knowledge and the formation of knowledge systems and their ecologies, including the dynamics of scientific discovery. Second, he proposed significant improvements in information retrieval through the deployment of multi-valued logic, appropriate file ordering, effective and efficient retrieval measures, and simplified retrieval approaches, including early work in citation-based searching. Third, Goffman applied Bradford-like distributions to model effective core research literature collection development and usage. Fourth, he developed original epidemiology models, and was an early contributor in biomedical informatics. His mathematical contributions have stood the test of time and will continue to be applicable indefinitely. 相似文献
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Current citation-based document retrieval systems generally offer only limited search facilities, such as author search. In order to facilitate more advanced search functions, we have developed a significantly improved system that employs two novel techniques: Context-based Cluster Analysis (CCA) and Context-based Ontology Generation frAmework (COGA). CCA aims to extract relevant information from clusters originally obtained from disparate clustering methods by building relationships between them. The built relationships are then represented as formal context using the Formal Concept Analysis (FCA) technique. COGA aims to generate ontology from clusters relationship built by CCA. By combining these two techniques, we are able to perform ontology learning from a citation database using clustering results. We have implemented the improved system and have demonstrated its use for finding research domain expertise. We have also conducted performance evaluation on the system and the results are encouraging. 相似文献
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数字图书馆信息可视化应用模型研究 总被引：1，自引：0，他引：1
本文讨论了信息可视化技术在数字图书馆中的几个应用方面:检索过程可视化、检索结果集可视化、数字图书馆信息可视化,并设计了数字图书馆语义信息可视化模型。 相似文献
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文章通过概述知识链接的概念和内涵,阐述了知识链接的产生背景、作用和功能。在综述近年来知识链接研究现状基础上,提出了知识链接的发展趋向。目前知识链接研究与实践主要集中在基于引文的关联检索和聚类分析、基于参考链接技术的文献交叉揭示与集成整合、基于关系的信息组织与知识概念关联3个方面。下一步知识链接将朝着面向科研环境的开放式跨界链接、基于用户行为的个性化推荐链接、基于本体的语义关系链接、面向科研评价的知识要素链接、基于知识元的知识组织链接等方面发展。 相似文献
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As the volume and breadth of online information is rapidly increasing, ad hoc search systems become less and less efficient to answer information needs of modern users. To support the growing complexity of search tasks, researchers in the field of information developed and explored a range of approaches that extend the traditional ad hoc retrieval paradigm. Among these approaches, personalized search systems and exploratory search systems attracted many followers. Personalized search explored the power of artificial intelligence techniques to provide tailored search results according to different user interests, contexts, and tasks. In contrast, exploratory search capitalized on the power of human intelligence by providing users with more powerful interfaces to support the search process. As these approaches are not contradictory, we believe that they can re-enforce each other. We argue that the effectiveness of personalized search systems may be increased by allowing users to interact with the system and learn/investigate the problem in order to reach the final goal. We also suggest that an interactive visualization approach could offer a good ground to combine the strong sides of personalized and exploratory search approaches. This paper proposes a specific way to integrate interactive visualization and personalized search and introduces an adaptive visualization based search system Adaptive VIBE that implements it. We tested the effectiveness of Adaptive VIBE and investigated its strengths and weaknesses by conducting a full-scale user study. The results show that Adaptive VIBE can improve the precision and the productivity of the personalized search system while helping users to discover more diverse sets of information. 相似文献
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《Information processing & management》2001,37(3):435-458
We are interested in how ideas from document clustering can be used to improve the retrieval accuracy of ranked lists in interactive systems. In particular, we are interested in ways to evaluate the effectiveness of such systems to decide how they might best be constructed. In this study, we construct and evaluate systems that present the user with ranked lists and a visualization of inter-document similarities. We first carry out a user study to evaluate the clustering/ranked list combination on instance-oriented retrieval, the task of the TREC-6 Interactive Track. We find that although users generally prefer the combination, they are not able to use it to improve effectiveness. In the second half of this study, we develop and evaluate an approach that more directly combines the ranked list with information from inter-document similarities. Using the TREC collections and relevance judgments, we show that it is possible to realize substantial improvements in effectiveness by doing so, and that although users can use the combined information effectively, the system can provide hints that substantially improve on the user's solo effort. The resulting approach shares much in common with an interactive application of incremental relevance feedback. Throughout this study, we illustrate our work using two prototype systems constructed for these evaluations. The first, AspInQuery, is a classic information retrieval system augmented with a specialized tool for recording information about instances of relevance. The other system, Lighthouse, is a Web-based application that combines a ranked list with a portrayal of inter-document similarity. Lighthouse can work with collections such as TREC, as well as the results of Web search engines. 相似文献