| 基于Web挖掘的学术热点发现模型的设计与实现 |
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| 引用本文： | 余洋,刘宇宏.基于Web挖掘的学术热点发现模型的设计与实现[J].网络安全技术与应用,2010(8):48-50. |
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| 作者姓名： | 余洋 刘宇宏 |
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| 作者单位： | [1]上海海事大学商船学院,上海200135 [2]上海航天测控通信研究所,上海201109 |
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| 摘 要： | 本文借助文本挖掘及其相关技术,针对航海领域,建立了一个基于Web的学术热点发现模型。该模型可对Web上所发表的科技论文进行内容挖掘,从而发现航海领域某一段时期内的学术研究热点。模型中运用自然语言处理技术对文本内容进行分词、句法和语义分析等处理;建立模糊聚类算法对文本进行聚类,进而获得航海领域的研究热点。该模型也可扩展用于发现其他领域的研究热点问题。
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| 关 键 词： | Web挖掘 中文自动分词 语义网 |
The design of an academic hot spot discovering model based on Web Mining |
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| Yu Yang,Liu Yuhong.The design of an academic hot spot discovering model based on Web Mining[J].Net Security Technologies and Application,2010(8):48-50. |
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| Authors: | Yu Yang Liu Yuhong |
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| Affiliation: | 1Merchant Marine College,Shanghai Maritime University,Shanghai,200135,China 2Shanghai Spaceflight TT ＆C and Telecommunication Institute,Shanghai Maritime University,Shanghai,201109,China |
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| Abstract: | With text mining and related technologies,an academic hot spot discovering model based on Web Mining was established.The model can make content mining on the papers published on the Web,and find the academic research focus in the field of navigation during a certain period.Natural language processing technology was used to segment the word in the text content,to analyze the syntax and semantics.So the key characteristics of capacity of paper was extracted;A fuzzy clustering algorithm was builded for text clustering,and then the hot research spots was got in the field of navigation research. |
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| Keywords: | Web mining word segmentation semantic field |
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