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DynamicView: Distribution, Evolution and Visualization of Research Areas in Computer Science

机译:DynamicView:计算机科学研究领域的分布,演变和可视化

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摘要

It is tedious and error-prone to query search engines manually in order to accumulate a large body of factual information. Search engines retrieve and rank potentially relevant documents for human perusal, but do not extract facts, or fuse information from multiple documents. This paper introduces DynamicView, a Semantic Web application for researchers to query, browse and visualize distribution and evolution of research areas in computer science. Present and historical web pages of top 20 universities in USA and China are analyzed, and research areas of faculties in computer science are extracted automatically by segmentation based algorithm. Different ontologies of ACM and MST classification systems are combined by SKOS vocabularies, and the classification of research areas is learned from the ACM Digital Library. Query results including numbers of researchers and their locations are visualized in SVG map and animation. Interestingly, great differences of hot topics do exist between the two countries, and the number of researchers in certain areas changed greatly from the year 2000 to 2005.
机译:手动查询搜索引擎以累积大量的事实信息既繁琐又容易出错。搜索引擎检索并排序可能相关的文档以供人类阅读,但不会提取事实或从多个文档中融合信息。本文介绍了DynamicView,这是一个语义Web应用程序,供研究人员查询,浏览和可视化计算机科学领域的分布和演变。分析了美国和中国排名前20位的大学的当前和历史网页,并通过基于分段的算法自动提取了计算机科学系的研究领域。通过SKOS词汇表将ACM和MST分类系统的不同本体结合在一起,并从ACM数字图书馆学习研究领域的分类。包括研究人员数量及其位置在内的查询结果均以SVG地图和动画形式显示。有趣的是,两国之间确实存在热点话题的巨大差异,并且从2000年到2005年,某些领域的研究人员人数发生了巨大变化。

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