排序方式： 共有73条查询结果，搜索用时 296 毫秒
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Edgardo Ferretti Leticia Cagnina Viviana Paiz Sebastián Delle Donne Rodrigo Zacagnini Marcelo Errecalde 《Information processing & management》2018,54(6):1169-1181
In this work, we present the first quality flaw prediction study for articles containing the two most frequent verifiability flaws in Spanish Wikipedia: articles which do not cite any references or sources at all (denominated Unreferenced) and articles that need additional citations for verification (so-called Refimprove). Based on the underlying characteristics of each flaw, different state-of-the-art approaches were evaluated. For articles not citing any references, a well-established rule-based approach was evaluated and interesting findings show that some of them suffer from Refimprove flaw instead. Likewise, for articles that need additional citations for verification, the well-known PU learning and one-class classification approaches were evaluated. Besides, new methods were compared and a new feature was also proposed to model this latter flaw. The results showed that new methods such as under-bagged decision trees with sum or majority voting rules, biased-SVM, and centroid-based balanced SVM, perform best in comparison with the ones previously published. 相似文献
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本文介绍了华盛顿大学图书馆的数字馆藏,以及被公认的Wikipedia现象,同时还介绍了对Wikipedia文章添加链接的过程以及我们从华盛顿大学图书馆数字项目的获得的启示。 相似文献
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[目的/意义]在线百科主题覆盖面和用户范围非常广泛,不同的学科领域及不同类型的用户对应着不同的需求和利用模式,因此需要从研究人员对在线百科的引用特征和引用类型出发,深入分析在线百科的用户需求和利用特征。[方法/过程]以我国图书情报学领域（以下简称“图情领域”）期刊论文为研究对象,从引用在线百科资源的论文数量及引文数量、时间分布、主题分布、期刊分布、机构分布、作者分布、文献类型、引用类型等多个指标,探析图情领域期刊论文在线百科的利用特征与规律。[结果/结论]结果表明,在我国图情领域学术研究过程对在线百科资源具有较高的依赖性,引用在线百科的期刊论文研究主题集中在图书馆、当下流行的信息技术和概念等相关方面,以非实证性研究居多,引用频次较高的期刊和机构主要是排名靠前的核心期刊和高校,引用较多的作者群体多为女性作者和实践工作者,引用类型依次为对非图情专业术语的引用、图情专业术语的引用以及网站和词条本身的引用。最后从在线百科词条质量和信息聚合两个角度对这一现象和特征进行讨论。 相似文献
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网络时代的百科全书--维基百科 总被引：11，自引：1，他引：11
维基百科是在互联网基础上产生的一种新型百科全书。与传统百科全书不同，它采用全球志愿者协作的方式完成，目前已经取得了令人瞩目的成就。文章介绍了这种新型的百科全书，并对其相关功能进行了评介。 相似文献
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[目的/意义]研究利用维基百科条目的丰富信息来补充完善当前中文名称规范档附加信息不足、名称难以准确区分的问题。[方法/过程]探讨网络环境下个人名称规范档的部分缺陷和维基百科相应的优势,重点阐述维基百科的接口Media Wiki API,并从两个方面探讨实现个人名称规范档与维基百科的链接应用:一是实现从名称规范档到维基百科的链接,二是动态生成个人简介,为名称规范档提供必要的信息来源。[结果/结论]集成维基百科的资源实现中文名称规范档信息的自我完善,有效地建立中文人名名称规范档与维基百科的链接,有助于个人名称的识别与检索。 相似文献
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维基百科是一部具有开放性、自由性、中立性和公众集体参与编撰的在线百科全书.网络百科全书的成功依赖于广大用户的积极参与和贡献.但是,在国内维基用户的编辑参与率不高.论文探讨了维基编辑参与率低的原因,有技术设施因素、网民心理因素和管理制度因素.针对其原因,提出了相应对策：降低门槛,让人们入门不难;提供服务满意度,激发兴趣回报社区;完善激励机制,精神和物质双重奖励. 相似文献
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Yogesh Sankarasubramaniam Krishnan Ramanathan Subhankar Ghosh 《Information processing & management》2014
Automatic text summarization has been an active field of research for many years. Several approaches have been proposed, ranging from simple position and word-frequency methods, to learning and graph based algorithms. The advent of human-generated knowledge bases like Wikipedia offer a further possibility in text summarization – they can be used to understand the input text in terms of salient concepts from the knowledge base. In this paper, we study a novel approach that leverages Wikipedia in conjunction with graph-based ranking. Our approach is to first construct a bipartite sentence–concept graph, and then rank the input sentences using iterative updates on this graph. We consider several models for the bipartite graph, and derive convergence properties under each model. Then, we take up personalized and query-focused summarization, where the sentence ranks additionally depend on user interests and queries, respectively. Finally, we present a Wikipedia-based multi-document summarization algorithm. An important feature of the proposed algorithms is that they enable real-time incremental summarization – users can first view an initial summary, and then request additional content if interested. We evaluate the performance of our proposed summarizer using the ROUGE metric, and the results show that leveraging Wikipedia can significantly improve summary quality. We also present results from a user study, which suggests that using incremental summarization can help in better understanding news articles. 相似文献
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Ling-Xiang Tang Shlomo Geva Andrew Trotman Yue Xu Kelly Y. Itakura 《Information processing & management》2014
Cross-Lingual Link Discovery (CLLD) is a new problem in Information Retrieval. The aim is to automatically identify meaningful and relevant hypertext links between documents in different languages. This is particularly helpful in knowledge discovery if a multi-lingual knowledge base is sparse in one language or another, or the topical coverage in each language is different; such is the case with Wikipedia. Techniques for identifying new and topically relevant cross-lingual links are a current topic of interest at NTCIR where the CrossLink task has been running since the 2011 NTCIR-9. This paper presents the evaluation framework for benchmarking algorithms for cross-lingual link discovery evaluated in the context of NTCIR-9. 相似文献
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利用WOS( Web of Science)和Wikipedia两种数据源,对大数据相关的内容进行词频统计、文本归类分析,得出两种数据源下大数据主题的共识和差异,并进一步梳理提炼出大数据领域的主题类别。共同的类别包括整体角度、技术层面、应用层面、实体和活动等,进一步细分的主题包括数据及数据源、大数据处理和分析技术、大数据系统和应用、国家地区以及企业的推动、社会和人的讨论、行业和学科变化等。最后论文还结合相关数据探讨了大数据领域的研究前沿。 相似文献
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Wiki在图书馆中的应用与实践 总被引：3，自引：0，他引：3
wiki在国际图书馆界是非常有名的沟通和交流的网站平台,但在国内图书馆的应用并不广泛。论文主要介绍了Wiki的基本概念及发展历程,分析了Wiki网站的类型及当前存在的问题,对我国图书馆Wiki网站的建设有一定的借鉴意义。 相似文献