排序方式: 共有74条查询结果,搜索用时 15 毫秒
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从Wikipedia 中获取本体:原理与方法研究 总被引:1,自引:0,他引:1
Wikipedia 作为一个大型的知识库,正逐渐被人们应用于不同的领域.在本体构建领域,Wikipedia 以其丰富的组织结构为大规模协作式的本体学习提供了有效的环境,利用Wikipedia 进行本体学习逐渐成为一个新的研究热点.本文从这一角度出发,在剖析Wikipedia 基本结构的基础上,分析和比较了从类别结构图、信息盒和定义句中获取本体概念和实例的相关原理和方法,阐述了利用Wikipedia 获取本体关系的原理,分析了基于结构特征、基于词典、基于句法和基于混合方式的模式匹配方法,以及基于结构特征和文本特征的统计学习方法,并对利用各种方法获取本体关系的效果进行了比较. 相似文献
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本文将半衰期的理论与计算方法引入到对维基百科的研究中,以时间为标度揭示了中文维基百科的发展演化规律。从条目、参与者、编辑次数、链接等角度讨论了中文维基百科的总量半衰期和年度增量半衰期,在此基础上计算了各基本元素总量半衰期与总时间的关系,明确地展示了中文维基百科的发展演化规律。 相似文献
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为解决社区问答系统中的问题短文本特征词少、描述信息弱的问题,本文利用维基百科进行特征扩展以辅助中文问题短文本分类。首先通过维基百科概念及链接等信息进行词语相关概念集合抽取,并综合利用链接结构和类别体系信息进行概念间相关度计算。然后以相关概念集合为基础进行特征扩展以补充文本特征语义信息。实验结果表明,本文提出的基于特征扩展的短文本分类算法能有效提高问题短文本分类效果。 相似文献
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Sesia J. Zhao Kem Z.K. Zhang Christian Wagner Huaping Chen 《International Journal of Information Management》2013
The recent prevalence of wiki applications has demonstrated that wikis have high potential in facilitating knowledge creation, sharing, integration, and utilization. As wikis are increasingly adopted in contexts like business, education, research, government, and the public, how to improve user contribution becomes an important concern for researchers and practitioners. In this research, we focus on the quality aspect of user contribution: contribution value. Building upon the critical mass theory and research on editing activities in wikis, this study investigates whether user interests and resources can increase contribution value for different types of users. We develop our research model and empirically test it using survey method and content analysis method in Wikipedia. The results demonstrate that (1) for users who emphasize substantive edits, depth of interests and depth of resources play more influential roles in affecting contribution value; and (2) for users who focus on non-substantive edits, breadth of interests and breadth of resources are more important in increasing contribution value. The findings suggest that contribution value develops in different patterns for two types of users. Implications for both theory and practice are discussed. 相似文献
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Automatic text summarization attempts to provide an effective solution to today’s unprecedented growth of textual data. This paper proposes an innovative graph-based text summarization framework for generic single and multi document summarization. The summarizer benefits from two well-established text semantic representation techniques; Semantic Role Labelling (SRL) and Explicit Semantic Analysis (ESA) as well as the constantly evolving collective human knowledge in Wikipedia. The SRL is used to achieve sentence semantic parsing whose word tokens are represented as a vector of weighted Wikipedia concepts using ESA method. The essence of the developed framework is to construct a unique concept graph representation underpinned by semantic role-based multi-node (under sentence level) vertices for summarization. We have empirically evaluated the summarization system using the standard publicly available dataset from Document Understanding Conference 2002 (DUC 2002). Experimental results indicate that the proposed summarizer outperforms all state-of-the-art related comparators in the single document summarization based on the ROUGE-1 and ROUGE-2 measures, while also ranking second in the ROUGE-1 and ROUGE-SU4 scores for the multi-document summarization. On the other hand, the testing also demonstrates the scalability of the system, i.e., varying the evaluation data size is shown to have little impact on the summarizer performance, particularly for the single document summarization task. In a nutshell, the findings demonstrate the power of the role-based and vectorial semantic representation when combined with the crowd-sourced knowledge base in Wikipedia. 相似文献
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为解决短文本特征词少、概念信号弱的问题,结合维基百科进行特征扩展以辅助中文短文本分类。通过维基百科概念及链接等信息进行词语相关概念集合抽取、概念间相关度计算,利用消歧页结合短文本上下文信息解决一词多义问题,进而以词语间语义相关关系为基础进行特征扩展,以补充文本特征语义信息。最后,给出基于维基百科的中文短文本分类算法,并对其进行实验验证。结果表明,该算法能有效提高中文短文本分类效果。 相似文献
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在线共享的自由百科全书——维基百科 总被引:2,自引:0,他引:2
维基百科是基于网络合作共享而产生的一个知识库,供网络用户免费使用。论文介绍维基百科的起源与发展概况,分析其快速发展的原因,解析其特点与原则。 相似文献
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Visits to museums have been studied as hedonic and utilitarian forms of cultural consumption, though limited attention has been given to the access of museum collections online. We perform a unique historic analysis of the visibility of collections in a museum of ethnographic collections and compare 100 years of onsite visits to 5 years online visits. We find two main results: first, access to collections increased substantially online. From a selection of objects available both onsite and online, access grew from an average of 156,000 onsite visits per year to over 1.5 million views online per year. Onsite, the museum received 15.5 million visits in a span of a century while online, collections were viewed 7.9 million times in only the last 5 years. Second, we find a difference in consumer preference for type of object, favouring 3D onsite and 2D online (photographs of objects, particularly when showing them being used). Results support understanding of online heritage consumption and emerging dynamics, particularly outside of an institutional environment, such as Wikipedia. 相似文献