曹金盛老师在光学期刊联盟培训班上讲中文期刊英文摘要的写作，给国内中国光学期刊“挑刺”。应该说大部分英文摘要写得还可以，但就是少数的几个语法、句话的错误在大屏幕上出现时邓显得非常刺眼。 was build, was work,这些中学生就看得出的错误，还出现在学术期刊上，编辑工作还不够细致，作者也要留心。这样的态度或者水平，如何能直接在国际英文刊发表论文呢。 看来中文期刊还是有必要办的，至少还能帮助作者提高一下英文水平，也包括中文水平，或者说是写文章时的态度。 如能得到曹老师的许可，我会把报告内容放在网上。
核心期刊英文摘要编校质量堪忧 鉴于近年来社会各界对核心期刊问题的关注， 2008 年 4 月 2 日至 12 月 25 日，新闻报刊司组织有关专家抽检了 100 种 “ 中文核心期刊 ”( 社会科学类和自然科学类各 50 种 ) 的英文摘要 ( 随机抽查两篇英文摘要 ) ，试图从这一角度考量核心期刊的出版质量。检查结果令人担忧，以一处差错（含）以内为合格， 100 种期刊中只有 15 种合格， 85 种不合格。期刊语言与编校质量差错率最高的期刊万字差错率达 293.2 ，错误量最多的有 19.5 处， 100 种期刊英文摘要的平均万字差错率为 82.35 。对此结果，新闻报刊司有关负责人表示，核心期刊的语言规范和编校质量堪忧。 抽查不合格期刊的差错涉及语法、结构、词语搭配、用词、语言习惯与逻辑、英文与中文不符、拼写、大小写、标点符号、格式等英语语言的各个方面。其中，语法和结构占错误总量的一半以上。 据了解，目前，多数 “ 核心期刊 ” 的学术研究与成果仅满足于国内引用与交流，缺乏国际视野，只把文章的英文摘要作为发表形式而不重视其语言和编校质量，不愿在英文摘要的质量把关上增加投入。此外， “ 核心期刊 ” 的广告价值被超限利用的倾向日益明显。例如，某刊在杂志封面上印有核心期刊之类字样，扉页上赫然印着 “ 中文核心期刊、中国期刊方阵双效期刊、中国人文社科学报核心期刊、全国百强社科学报、华东地区优秀期刊、省优秀社科期刊、省优秀期刊 ” 等条目，但该刊两篇英文摘要却被发现 5 处差错，万字差错率达 74 。这家期刊显示了相当一部分用各种桂冠把自己环绕起来的所谓 “ 核心期刊 ” 的实际质量，颇有代表性。 据悉，针对此次抽查的结果，新闻出版总署培训中心将举办针对学术期刊英文摘要编辑的专题培训班。新闻报刊司有关负责人表示，管理部门还将高度重视学术期刊的出版质量，将对不合格的学术期刊进行质量跟踪和抽检，对出版质量严重不合格者勒令退出。 ( 据《中国新闻出版报》 2009-04-29) 我国多数外文学术期刊编校质量堪忧（附抽检结果） 国家新闻出版总署报刊司 2008 年 3 月公布 2007 年度外文版学术期刊编校质量检查结果。在此次列入检查范围的 148 种外文版学术期刊，以差错率万分之五（含）为合格标准，合格期刊 44 种，合格率仅为 29.7% 。而排名最后的一种期刊差错率高达万分之 91 。检查结果显示，我国多数外文版学术期刊的语言规范和编校质量堪忧。 从检查结果看，受检期刊语言规范与编辑质量主要差错分为十类：语法差错、结构差错、词语搭配差错、用词差错、拼写差错、大小写差错、标点符号差错、格式差错、语言逻辑差错、乱码。其中，前四类反映的是作者和编校人员对基本语言知识和运用能力的缺失，后六类则主要表明编校工作的草率。 学术期刊的内容反映了一个国家科研投入的产出绩效，其外文版则是将这一绩效向全球公布的窗口。鉴于我国的学术期刊日益走向世界，与国际同行的学术交流日益增多， 2007 年 4 月 2 日至 12 月 25 日，为配合新闻出版总署出版物质量管理年活动，报刊司组织有关专家对全国外文版学术期刊进行了较为全面的编校质量检查，以了解我国外文版学术期刊的整体出版质量。 报刊司有关负责人表示，主办单位在学术期刊出版过程中忽略了对刊物语言规范和编校质量的把关和跟踪，外文版学术期刊缺乏既精通英语又熟悉相关学术领域知识的编辑人才，刊社缺少高素质的编校和审校人员等是严重影响外文版学术期刊质量、造成编辑力量薄弱的主要原因。 针对此次抽查结果，报刊司计划在四五月份对外文版学术期刊的编辑队伍进行两期业务培训，并要求在此次质检中不合格的期刊必须派出骨干编辑参加培训。报刊司有关负责人表示，外文版学术期刊对从业人员的要求是非常高的，从此次检查的结果看，面向其从业人员开展业务培训显得尤为重要。此外，为使语言规范与编辑质量在外文版学术期刊中引起足够的重视，报刊司还将在今年继续对不合格的外文版学术期刊进行质量跟踪和抽检。 ( 据《中国新闻出版报》 2008-03-21) 148 种外文版学术期刊编校质量抽检结果总汇 序号 英文 刊名 中文 刊名 万字 差错率 抽检 结论 1 Science in China Series A: Mathematics 中国科学 A 辑 0 合格 2 Transactions of Nanjing University of Aeronautics Astronautics 南京航空航天大学学报 0.5 合格 3 Satellite Technology and Application 中国航天 1 合格 4 Advances in Atmospheric Sciences 大气科学进展 1.25 合格 5 Contemporary International Relations 现代国际关系 1.25 合格 6 The World of English 英语世界 2 合格 7 Voice of Friendship 友声 2 合格 8 Chinese Journal of Astronomy and Astrophysics 中国天文和天体物理学报 2 合格 9 Tsinghua Science and Technology 清华大学学报 2 合格 10 Agricultural Sciences in China 中国农业科学 2.25 合格 11 Social Sciences in China 中国社会科学 2.25 合格 12 Pedosphere 土壤圈 2.5 合格 13 English Language Learning 英语学习 2.5 合格 14 China Ocean Engineering 中国海洋工程 2.5 合格 15 Chinese Medical Journal 中华医学杂志 3 合格 16 Chinese Journal of Polymer Science 高分子科学 3 合格 17 Journal of Geriatric Cardiology 老年心脏病杂志 3 合格 18 Abstract of Chinese Geological Literature 中国地质文摘 3 合格 19 Journal of University of Science and Technology Beijing 北京科技大学学报 3 合格 20 Genomics Proteomics Bioinfomatics 基因组蛋白质组与生物信息学报 3 合格 21 China Auto 中国汽车 3 合格 22 Women of China 中国妇女 3.25 合格 23 Journal of Rare Earth 中国稀土学报 3.5 合格 24 Annals of Differential Equations 微分方程年刊 3.75 合格 25 Chemical Research in Chinese University 高等学校化学研究 3.75 合格 26 Chinese Journal of Geochemistry 中国地球化学 4 合格 27 China Today (English Edition) 今日中国 4 合格 28 Cellular Molecular Immunology 中国免疫学杂志 4 合格 29 Journal of Materials Science Technology 材料科学技术 4 合格 30 China World Economy 中国与世界经济 4 合格 31 Journal of Traditional Chinese Medicine 中医杂志 4 合格 32 Rare metals 稀有金属 4.25 合格 33 Beijing Review 北京周报 4.25 合格 34 Journal of Ocean University of China 中国海洋大学学报 4.25 合格 35 Numerical Mathematics 高等学校计算数学学报 4.25 合格 36 CADDM 计算机辅助绘图设计与制造 4.25 合格 37 Science in China Series C: Life Science 中国科学 C 辑 4.5 合格 38 China Tibetology 中国藏学 4.5 合格 39 China Annals of Mathematics, Series B 数学年刊 B 辑 4.75 合格 40 Chinese Journal of Chemical Engineering 中国化学工程学报 4.75 合格 41 China Textile 中国纺织 5 合格 42 Chinese Journal of Clinical Oncology 中国肿瘤临床 5 合格 43 Cell Research 细胞研究 5 合格 44 Science in China Series B: Chemistry 中国科学 B 辑 5 合格 45 Science in China Series F: Information Sciences 中国科学 F 辑 5.75 不合格 46 Journal of Central South University of Technology 中南工业大学学报 6 不合格 47 Asian Journal of Andrology 亚洲男性学杂志 6 不合格 48 Acta Pharmacologica Sinica 中国药理学报 6.25 不合格 49 World Journal of Gastroenterology 世界胃肠病学杂志 6.25 不合格 50 Bulletin of the Chinese Academy of Sciences 中国科学院院刊 6.75 不合格 51 Acta Oceanologica Sinica 海洋学报 7 不合格 52 Journal of Beijing Institute of Technology 北京理工大学学报 7 不合格 53 Applied Mathematics: A Journal of Chinese Universities 高校应用数学学报 B 辑 7 不合格 54 Agriculture Science Technology 农业科学与技术 7 不合格 55 Journal of Hydrodynamics 水动力学研究与进展 7.25 不合格 56 Transactions of Nonferrous Metals Society of China 中国有色金属学报 7.25 不合格 57 China Medical Abstracts (Internal Medicine) 中国医学文摘 • 内科学分册 7.5 不合格 58 The Journal of China Universities of Posts and Telecommunications 中国邮电高校学报 7.75 不合格 59 Northeastern Mathematical Journal 东北数学 8 不合格 60 China Particuology 颗粒学报 8 不合格 61 Journal of Wuhan University of Technology-Materials Science Edition 武汉理工大学学报 - 材料科学版 8 不合格 62 Chinese Journal of Biomedical Engineering 中国生物医学工程学报 8 不合格 63 Chinese Science Bulletin 科学通报 8.25 不合格 64 Virologica Sinica 中国病毒学 8.25 不合格 65 Journal of China University of Geosciences 中国地质大学学报 8.75 不合格 66 Earthquake Research in China 中国地震研究 9 不合格 67 China Rare Earth Information 中国稀土信息 9.5 不合格 68 China the World Cultural Exchange 中外文化交流 9.75 不合格 69 Journal of Southwest Jiaotong University 西南交通大学学报 10 不合格 70 Nuclear Science and Techniques 核技术 10 不合格 71 Neuroscience Bulletin 神经科学通报 10 不合格 72 ZTE Communications 中兴通讯技术 10 不合格 73 Acta Meteorologica Sinica 气象学报 10 不合格 74 Journal of Southeast University 东南大学学报 10.75 不合格 75 Journal of Geographical Science 地理学报 11 不合格 76 China’s Tibet 中国西藏 11 不合格 77 Transactions of Tianjin University 天津大学学报 11 不合格 78 Chinese Chemical Letters 中国化学快报 11 不合格 79 International Journal of Sediment Research 国际泥沙研究 11 不合格 80 Chinese Journal of Mechanical Engineering 机械工程学报 11 不合格 81 Chinese Journal of Oceanology and Limnology 中国海洋湖沼学报 11.5 不合格 82 Journal of Chinese Phamaceutical Sciences 中国药学 11.75 不合格 83 Acta Mathematica Scientia 数学物理学报 12 不合格 84 Chinese Geographical Science 中国地理科学 12 不合格 85 Chinese Journal of Cancer Research 中国癌症研究 12.25 不合格 86 Forestry Studies in China 中国林学 12.25 不合格 87 Journal of Chongqing University 重庆大学学报 12.5 不合格 88 Journal of Shanghai University 上海大学学报 （自然科学） 13 不合格 89 Applied Mathematics and Mechanics 应用数学和力学 13 不合格 90 Journal of China Ordnance 兵工学报 13 不合格 91 Science in China Series E: Technological Sciences 中国科学 E 辑 13.25 不合格 92 Acta Mechanica Solida Sinica 固体力学学报 13.25 不合格 93 Neural Regeneration Research 中国神经再生研究 15 不合格 94 Academic Journal of Xi’an Jiaotong University 西安交通大学学报 15.25 不合格 95 Chinese Journal of Chemistry 中国化学 16.25 不合格 96 Study for Junior Middle School Students 初中生学习（英语阅读新概念） 16.25 不合格 97 Acta Metallurgica Sinica 金属学报 16.75 不合格 98 Science in China Series D: Earth Science 中国科学 D 辑 16.75 不合格 99 Acta Geologica Sinica 地质学报 17 不合格 100 Wuhan University Journal of Natural Sciences 武汉大学学报（自然科学英文版） 17.5 不合格 101 Journal of Donghua University (English Edition) 东华大学学报 17.5 不合格 102 Chinese Medical Sciences Journal 中华医学杂志 19.25 不合格 103 Journal of China University of Mining Technology 中国矿业大学学报 19.25 不合格 104 Biomedical And Environmental Sciences 生物医学与环境科学 19.5 不合格 105 Journal of Nanjing Medical University 南京医科大学学报 19.5 不合格 106 International Journal of Automation and Computing 国际自动化与计算杂志 20 不合格 107 CHINA WELDING 中国焊接 20.5 不合格 108 Progress in Natural Science 自然科学进展 21 不合格 109 Chinese Journal of Integrative Medicine 中国中西医结合杂志 21 不合格 110 Journal of Iron and Steel Research, International 钢铁研究学报 21.25 不合格 111 Chinese Journal of Lasers 中国激光 22 不合格 112 Journal of Electronic Science and Technology of China 中国电子科技 23.25 不合格 113 Chinese Journal of Traumatology 中华创伤杂志 24 不合格 114 Journal of Medical Colleges of PLA 中国人民解放军军医大学学报 24.25 不合格 115 China Oil Gas 中国油气 24.25 不合格 116 Journal of Systems Engineering and Electronics 系统工程与电子技术 24.75 不合格 117 Chinese Optics Letters 中国光学快报 25 不合格 118 Journal of Reproduction Contraception 生殖与避孕 25 不合格 119 Journal of Environmental Sciences 环境科学学报 25.5 不合格 120 Geo-spatial Information Science 地球空间信息科学学报 26 不合格 121 World Journal of Acupuncture-Moxibustion 世界针灸杂志 26.25 不合格 122 China’s Foreign Trade 中国对外贸易 26.75 不合格 123 Journal of Otology 中华耳科学杂志 27 不合格 124 Journal of Mountain Science 山地科学学报 27 不合格 125 International Understanding 国际交流 27.25 不合格 126 Engineering Sciences 中国工程科学 29 不合格 127 Chinese Journal of Population, Resources and Environment 中国人口、资源与环境 29 不合格 128 Chinese Forestry Science and Technology 中国林业科技 30 不合格 129 Ecological Economy 生态经济 31 不合格 130 Journal of Northeast Agricultural University 东北农业大学学报 31.25 不合格 131 Optoelectronics Letters 光电子快报 32.75 不合格 132 Human Rights 人权 33.75 不合格 133 Journal of Control Theory and Applications 控制理论与应用 36.75 不合格 134 China’s Refractories 中国耐火材料 37 不合格 135 Acta Seisomologica Sinica 地震学报 39 不合格 136 Chinese Journal of Acoustics 声学学报 42.25 不合格 137 Journal of Forestry Research 林业研究 42.5 不合格 138 Journal of Harbin Institute of Technology 哈尔滨工业大学学报 43.5 不合格 139 International Journal of Plant Engineering and Management 国际设备工程与管理 44.75 不合格 140 Chinese Journal of Aeronautics 中国航空学报 45.25 不合格 141 Electricity 电气 48.25 不合格 142 Journal of Bionic Engineering 仿生工程学报 50.25 不合格 143 Chinese-German Journal of Clinical Oncology 中德临床肿瘤学杂志 55.25 不合格 144 Journal of Shanghai Jiaotong University (Science) 上海交通大学学报 55.5 不合格 145 Journal of Coal Science Engineering (China) 煤炭学报 60.75 不合格 146 Journal of Shanghai Second Medical University 上海第二医科大学学报 61.5 不合格 147 Journal of Tropical Meteorology 热带气象学报 63 不合格 148 South China Journal of Cardiology 岭南心血管病杂志 91 不合格
Nature ：渐进性的演化改变 发布: 2011-07-01 来自: Nature 阅读数：3569次 研究背景： 发育基因的改变常常导致形态演化，但是，造成演化的突变数量和突变效应却不为人所知。 技术路线： Frankel等人开发出果蝇shavenbaby基因的模型，来研究这一遗传现象。 结果： shavenbaby基因的顺式作用元件出现较多的核苷酸突变，这些突变改变了基因的表达时期和表达水平。这种果蝇要形成无毛的幼虫，需要很多有较小影响的突变（而不是一个有较大影响的突变）。这项研究在单核苷酸突变水平上验证了达尔文支持的渐进性演化观点。 生物探索推荐英文摘要 doi:10.1038/nature10200 Morphological evolution caused by many subtle-effect substitutions in regulatory DNA Abstract: Morphology evolves often through changes in developmental genes, but the causal mutations, and their effects, remain largely unknown. The evolution of naked cuticle on larvae of Drosophila sechellia resulted from changes in five transcriptional enhancers of shavenbaby (svb), a transcript of the ovo locus that encodes a transcription factor that governs morphogenesis of microtrichiae, hereafter called ‘trichomes’. Here we show that the function of one of these enhancers evolved through multiple single-nucleotide substitutions that altered both the timing and level of svb expression. The consequences of these nucleotide substitutions on larval morphology were quantified with a novel functional assay. We found that each substitution had a relatively small phenotypic effect, and that many nucleotide changes account for this large morphological difference. In addition, we observed that the substitutions had non-additive effects. These data provide unprecedented resolution of the phenotypic effects of substitutions and show how individual nucleotide changes in a transcriptional enhancer have caused morphological
情 报 学 报 ISSN 1000-0135 第 30 卷 第 8 期 787-795 ， 2011 年 8 月 JOURNAL OF THE CHINA SOCIETY FOR SCIENTIFIC AND TECHNICAL INFORMATION ISSN 1000-0135 Vol.30 No.8 ， 787-795 1. Evolution of Knowledge Networks (I) ： Growth and Obsolescence Ma Feicheng and Liu Xiang (Center for Studies of Information Resources of Wuhan University, Wuhan, 430072) Abstract: For the analysis of topology and obsolescence of knowledge under different growth patterns, we constructed an evolution model of knowledge networks. A general function analysis and simulation had been done, it was found that the degree distribution had no relation to the growth pattern and the diachronic citation of vertex decreased, when the growth ratio of knowledge was convergence function, such as liner function; On the other hand, the exponent of degree distribution was small and the diachronic citation was increased when the growth function was transpire function, like exponent function. The faster the rapid of growth, the flatter the degree distribution it was, which also means the higher efficiency of knowledge utilization. Keywords: knowledge, complex networks, evolution, obsolescence, model 2. Collaborative Recommendation Using Smoothing Clustering Based on User Information Matrix Chang Fuyang, Xu Kan and Lin Hongfei (School of Computer Science and Technology, Dalian University of Technology, Dalian 116024) Abstract: Collaborative recommendation technology can help people find something interesting in the e ? commerce business field. In collaborative recommendation, there is a common way to generate recommendation called nearest neighbor method. With the increase of commodity quantity, the ratio of useful data is decreasing. In order to solve the sparse problem, we collect and discrete user information on the basis of ordinary score data, then we convert user information to a 0 ? 1 vector. We compute the N ? nearest neighbors from the user information matrix and smooth the it using the k ? NN. We cluster the user rating matrix to predict the score. The experiment results show that the approach of rating and discretion the user information can improves the predicting score precision. Keywords: collaborative recommendation, user information, data smoothing, rating cluster 3. Contextual Recommendation ? oriented User Preference Drift Recognition Based on Hypergraph Model Cai Shuqin1, Hu Muhai2, Ye Bo3 and Ma Yutao1 （ 1.Institute of Enterprise Business Intelligence Engineering, Huazhong University of Science and Technology, Wuhan 430074 ； 2.Management School, Wuhan Textile University, Wuhan 430074; 3.Guangxi Technology Information Net Center ， Nanning 530012 ） Abstract: User preference drift recognition is one of the keys to update user profile and keep the description precision of users preference. With the quick development of mobile commerce, such recognition was paid great attention recently. However, most of researches based on clustering are insufficient for the treatment of item objects where weak N-ary associations exist. In this paper, through the analysis of contextual recommendation, a hypergraph model of contextual items is proposed, and the similarity between a pair of items, a pair of item clusters and user preference drift degree are defined. Based on above related definitions, a method to measure preference drift is constructed which is based on two stages hierarchical clustering framework and in combination with Multilevel k-way Hypergraph Partitioning arithmetic. Finally the time complexity and application mechanism of the method are discussed, the usefulness of the method is also verified by two groups of experiments. Keywords: hypergraph, contextual recommendation, preference drift 4. Fuzzy Clustering Model and Algorithm Based on Rate Distortion Theory Guo Chonghui and Zhang Yanchang (Institute of Systems Engineering, Dalian University of Technology, Dalian 116024 ) Abstract: Clustering is considered as a process of lossy compression from an information theory perspective in this paper. Firstly an optimization model of fuzzy clustering is built by using the rate distortion theory. Comparing to the classic fuzzy clustering model, the new model introduces a new index in the objective function which describes the complexity of clustering process. In order to estimate the number of clusters, a new cluster validity index is also proposed. Then the fuzzy clustering algorithm based on rate distortion theory is obtained by solving the optimization model. Finally some numerical experiments are made to compare the fuzzy clustering algorithm based on rate distortion theory with fuzzy c ? means. The experimental results indicate that the fuzzy clustering algorithm based on rate distortion theory can estimate the number of clusters automatically and it also has less running time than fuzzy c ? means. Moreover, membership assignments of the proposed algorithm based on rate distortion theory are less confused than fuzzy c-means, which makes the result more definite and reliable. Keywords: fuzzy clustering ， rate distortion theory ， mutual information ， number of clusters 5. Study on Clustering of Retrieval Results Based on Co-occurrence Analysis of Keywords Li Fenglin and He Zhoufang (Center for Studies of Information Resources of Wuhan University, Wuhan 430072) Abstract: The continuous growth in the size of the Internet is creating difficulties for improving efficiency of information retrieval. First of all, this paper extracts the keywords from each document through a specific algorithm. Secondly, it has applied statistical techniques to measure the quantities of co ? occurrence keywords for forming the label matrix of them, and finally agglomerated them into higher ? level clusters by hierarchical clustering algorithm in order to classify the results which return from the source research engine. The view of retrieval results clustering can help the user quickly and efficiently navigate the results of a query at a topic level and locate the relevant information. Compared with Lingo, the experimental results show that the labels generated by our algorithm are of more readability and generality. What ’ s more, F ? measure index also shows that our algorithm has improved the quality of text clustering to some extent. Keywords: keywords, co-occurrence, clustering, retrieval results 6. A Novel Classification Model Based on Relaxed Conservative Inference Rule for Incomplete Data Qi Ruihua1,2 and Yang Deli2 (1.Modern Education Technology Center, Dalian University of Foreign Language , Dalian 116044 ； 2.Institute of System Engineering, School of Management, Dalian University of Technology, Dalian 116024) Abstract: To solve the problem of declining proportion of clear samples in the tofal when using Naive Credal Classifier, this paper improves conservative inference rule, and proposes an incomplete data classification model based on relaxed conservative inference rule. Simulation results of comparative experiment with Naive Bayesian Classifier and Naive Credal Classifier verify the effectiveness of this classification model. Besides, the style identification as the application background, comparative experimental results further show that this classifier has better overall performance on the style identification data set. Keywords: classification, incomplete data, interval advantage 7. Research on Semantic Text Mining Based on Domain Ontology Zhang Yufeng and He Chao （ Center for Studies of Information Resources of Wuhan University, Wuhan 430072 ） Abstract: In order to improve the depth and accuracy of text mining, a semantic text mining model based on domain ontology is proposed. In this model, semantic role labeling is applied to semantic analysis so that the semantic relations can be extracted accurately. For the defect of traditional knowledge mining algorithms that can not effectively mine semantic meta database, an association patterns mining algorithm based on semantic is designed and used to acquire the deep semantic association patterns from semantic meta database. Experimental results show that the model can mine deep semantic knowledge from text database. The pattern got has great potential applications, and the algorithm designed has strong adaptability and scalability. Keywords: semantic text mining, domain ontology, semantic patterns 8. Application Research on Improved PSO Algorithm for Data Prediction Mining Wang Xiaojia, Yang Shanlin and Xu Dayu (Hefei University of Technology, Key Laboratory of Process Optimization and Intelligent Decision ? making, Ministry of Education, Hefei 230009) Abstract: In order to solve the problem of prematurity and tendancy to fall into local convergence in particle swarm optimization algorithm, this paper proposed an improved particle swarm optimization algorithm that is able to overcome prematurity. Extreme disturbances and adaptive adjustment factor were added to the standard PSO algorithm. Making the algorithm can jump out of local optimum easily. It also analyzed the limitations of gray model GM (1,1).So a selfadaptive PSO algorithm with disturbed extremum called AdPSO is presented. Utilizing the new model for data mining prediction. Finally, an example is used to validate the proposed method. Example shows that this model has higher prediction accuracy. Keywords: particle swarm optimization algorithm, GM(1,1) model, AdPSO-GM model, forecasting mining 9. A Tag Ranking Method Based on HITS and Random Walk Wang Zhaopeng1, Hu Xia2, Ni Ning3 and Wang Can1 （ 1.College of Computer Science, Zhejiang University, Hangzhou 310027; 2.Hangzhou Science and Technology Information Research Institute, Hangzhou 310001; 3.Information Technology Department, Zhejiang Vocational College of Commerce, Hangzhou 310012 ） Abstract: With the rise of Web 2.0 applications, a new trend in information science, namely the evolution from “organizing document” to “organizing knowledge”, is looming on the horizon. One of important Web 2.0 applications, social tag, is making this trend a reality by adding meaningful annotations to Web pages. However, existing tag ranking methods are not efficient in knowledge organization. To improve tag ranking performance, this paper proposes a new ranking algorithm by utilizing relationships among users, tags and Web documents in a tripartite collaborative tagging model. By combining HITS and random walk, we effectively exploit the mutual reinforcement between quality users and quality tags and retrieve related tags by measuring similarity between tags. Experimental results on Delicious dataset demonstrate the effectiveness of our algorithm. Keywords: tag, ranking, HITS, random walk 10. Research on the Recognition of Business Organizations Names in Internet Zhao Jie1,2, Liu Yanhong3 and Jin Peiquan3 (1.School of Business Administration, Anhui University, Hefei 230029; 2.School of Management, University of Science and Technology of China, Hefei 230026; 3.School of Computer Science and Technology, University of Science and Technology of China, Hefei 230026) Abstract: Internet has been one of the major sources for enterprises and organizations to acquire competitive intelligence. And many enterprises have shown urgent requirements on building a Web ? based system to acquire competitor intelligence. In such a Web ? based competitor intelligence system, a fundamental issue is to recognize business organizations’ names in Internet, because it is the basis of identifying competitors and extracting further intelligence from the Web. In this paper, we present a new approach to recognizing business organizations in Internet, which considers the semantic relationship between business organizations’ names and their context in Web pages and recognizes organizations’ names based on an integration of semantic annotation and the Hidden Markov Model (HMM). We conduct an experiment on a real dataset consisting of a large number of Chinese Web pages and evaluate the performance of our approach as well as three competitor algorithms including CHMM, MEM, and SVM, with respect to recall, precision, and F ? measure. The results show that our new approach improves the effectiveness of the reorganization of business organizations ’ names. Meanwhile, it is a general ? purposed algorithm and can suit different types of tasks on business organizations recognition. Keywords: competitive intelligence, internet, business organization, hidden Markov model 11. Network Characteristics of Chinese Scientific and Technical Vocabulary System Hu Changai and Zhu Lijun （ Institute of Scientific and Technical Information of China, Beijing 100038 ） Abstract: The evaluation of the traditional knowledge organization systems lacks of macroeconomic measure, works out very late, and cann’t reveal dynamic process. Based on complex network theory, this paper has analyzed the network properties of the Chinese science and technology vocabulary system from the aspects of basic characteristics, dynamic characteristics and robustness. The analysis of basic characteristics shows that the Chinese science and technology vocabulary system is a small world and scale free network, and it has good connexity. But there are errors and multiplicity; The analysis of dynamic property shows that the system is much more small ? world, while the network's performance should be further improved. The analysis of robustness shows that the system is much robust. So that the suggestion has been advanced that the vocabulary system should be constructed under the direction, and the importance should be attached to each and every vocabulary to ensure the connectivity of the system. Keywords: Chinese scientific and technical vocabulary system, complex network, small world, scale ? free, robustness 12. Research on Personalized Cross-language Academic Search Pang Guansong1, Zhang Lisha2 and Jiang Shengyi3 （ 1.School of Management, Guangdong University of Foreign Studies, Guangzhou ， 510006 ； 2.Cardiff Business School, Cardiff University, CF10 3EU, Cardiff, United Kingdom ； 3.School of Informatics, Guangdong University of Foreign Studies, Guangzhou ， 510420 ） Abstract: The academic search engine is a domain ? oriented search engine. However, due to its lack of personalized services, there appeared the problem of inefficiency in literature retrieval and insufficient usage of massive digital academic resource. This paper employs Google translation, presents a Chinese, English, Russia, French and Spanish cross ? language academic search engine based on machine translation. On the foundation of cross ? language academic search, we research on personalized information retrieval techniques, propose a personalized information retrieval approach based on clustering: based on the click behavior of the clusters achieved by search results clustering, generates and updates user real ? time profile, employs cosine formula compute the similarities between the user real ? time profile and search results, finally personalized resorts the search results based on the similarities. The experimental results show that the proposed approach has its effectiveness and users acceptance. Keywords: cross-language information retrieval ， personalized information retrieval ， one pass clustering ， academic search ， user click behavior 13. Network Based Users Book?Loan Behavior Analysis ： A Case Study of Peking University Library Yan Fei1, Zhang Ming1, Sun Tao1 and Xiao Long2 （ 1.School of EECS, Peking University, Beijing 100871; 2. Library of Peking University, Beijing 100871 ） Abstract: Book loan is the most important service in libraries. Taking Peking University as an example, almost every student has borrowed books from the library. Hence, it is essential to understand users ′ book ? loan behaviors, and provide better user ? oriented services based on the understandings. There exist two kinds of networks in libraries: book ? borrowing network and co ? borrowing network. In the book ? borrowing network, a user and a book are connected if the user borrowed the book. Meanwhile, in the co ? borrowing network, two users are connected if they borrowed same books. The latter can also be regarded as a knowledge sharing network. In the paper, we analyze users ′ book ? loan behaviors in these two networks, gain new understandings from users ′ behaviors, and apply the analysis results to promote library services. Our research exactly goes as the trend of Library 2.0. Keywords: user behavior analysis, social network analysis, digital library, log mining 14. Visualization Analysis of the Research Fronts Based on CiteSpaceII Yang Liangxuan, Li Zili and Wang Hao (School of Information System and Management ， National University of Defense Technology ， Changsha 410073 ） Abstract: Research Fronts is emerging thematic trends and surges of new topics, according to find out the research fronts, can provide for the researchers the newest information which he or she wants to know. Based on this, first, we introduced the existed methods to detect the research fronts in briefly; and then, used the visualization software CiteSpaceII to description the relationships of co ? citation, the critical articles and important researchers would be listed. In addition, we also discussed the shortage of the software, and forecast the future application of the research fronts. Keywords: research fronts, fronts analysis, CiteSpaceII 15. Study on Focuses in Pervasive Computing Based on National Top level Domains Huang Lucheng and Zhao Pan (School of Economics and Management, Beijing University of Technology, Beijing 100124) Abstract: With the development of network technology and the massive data, the network information has become the community can not ignore the important information resource, which not only contains a lot of information and technology related, but also subtle to guide and influence technology development. According to status of current research in this area, we propose idea analyzing focus technology and development direction in future using national domain name in Top ? level domain based on Internet information. Using the hierarchical clustering method, through comparing countries in one group and between groups, we can discover various countries current universally concerned hot technology and technology development direction in future, and use pervasive computing technology as an example for empirical analysis. Keywords: national Top ? level domain, hot technology, cluster analysis, pervasive computing technology
情 报 学 报 ISSN 1000-0135 第 30 卷 第 7 期 675-681 ， 2011 年 7 月 JOURNAL OF THE CHINA SOCIETY FOR SCIENTIFIC AND TECHNICAL INFORMATION ISSN 1000-0135 Vol.30 No.7 ， 675-681 July 2011 1.Study on Potential Knowledge Discovery from Electronic Medical Records Based on Semantic Triple Wen Youkui1,2 and Jiao Yuying1 (1.School of Information Management of Wuhan University, Wuhan 430072 ； 2.School of Economy and Management, Xidian University, Xi’an 710071) Abstract: Electronic medical records (EMR) is a challenging task of medical informatics (MI) in order to solve the expression, organization, application in the field of medical information. Information of medical records has specific semantic requirements, mainly in professional represents of medical information and truth of the actual medical procedure. Electronic medical records can not now express dynamic semantics relationship between the concepts of pathological; it is difficult to realize semantic based information retrieval and potential pathological findings. For this reason, we developed a electronic medical records of potential knowledge discovery systems based on knowledge element, which extract electronic medical records into the knowledge element of semantic triples form, to solve semantic reasoning and potential disease problems of the electronic medical records, to implement integrated system of treatment cases for diagnosis, instrumentation detection, treatment options. Experiment proved the system have some guidance for diseases treatment, teaching and research. Keywords: electronic medical records, knowledge discovery, knowledge element, semantic triple 2. Research on Multi-perspectives Topic Constructing Wu Qingqiang1 ， 2 and Zhang Xiaolin2 （ 1.Institute of Scientific and Technical Information of China, Beijing 100038 ； 3.Library of Chinese Academy of Sciences, Beijing 100094 ） Abstract: In this article, the authors conduct the research on the multi-perspectives access to topic structure. Firstly, an experiment is used to discover that there are some obvious differences between the two topic structures generated by the variant analysis and the co-word analysis, and both of which are a reflection of the existing topic structure. According to the characteristics of variant analysis and co-word analysis, this dissertation adopts the relationship integration, the process integration and the result integration to obtain the topic structure in multi-perspectives. In the relationship integration, three different functions including the linear function, the Max function and the co-variant are adopted. The tests have been carried out in terms of the topic class levels, the relationship of words and the relationship in the topic class to verify their adaptation to the topic structure in multi-perspectives. Keywords: topic constructure, multi-perspectives topic constructing, co-word analysis, variant analysis 3. Research on Semantic Reasoning with Ontology and Rules Tang Xiaobo and Jin Zhongming (Center for Studies of Information Resources of Wuhan University, Wuhan 430072) Abstract: To solve the information share and integrating for related concept of ontology, find the semantic relationship among ontologies, this paper proposes the semantic reasoning model ORRM with ontology and rules combined, establish the family ontology FO. Semantic reasoning focus on two layers, the first layer uses Racer to reason based on description logic, testing ontology conflict. The second layer uses concepts and attributes presented by ontology for member rule base, using SWRL and Jess as inference engine. The new ontology exported by the model adds the semantic relationship between the concepts, makes implicit knowledge explicit and perfects the contents of ontology knowledge base. In the fields of semantic web, the utilization of ontology knowledge is improved by the application of the model. Keywords: domain ontology ， description logic ， SWRL ， Jess ， semantic reasoning 4. Language Model and Its Application to Information Retrieval Su Sui, Lin Yuan and Lin Hongfei (Laboratory of Information Retrieval, School of Computer, Dalian University of Technology, Dalian 116024) Abstract: Language modeling approach to information retrieval is promising and challenging because of its favorable foundations in statistical theory, which can deduce other classical retrieval models easily. However the recent researches on language modeling approach focus on the task of single language retrieval, and there are few studies examining its effectiveness on cross language retrieval. In this paper, we apply language modeling approach to the task of cross language retrieval based on introducing the retrieval approaches of language models. This paper presents two cross language retrieval model: statistical translation model and cross language relevance language model, and also analyzes their effectiveness. Keywords: statistical language model ， cross language information retrieval ， relevance model 5. A Collaborative Filtering Recommendation Algorithm Based on Item-Class Preference Leng Yajun, Liang Changyong, Zhang Enqiao and Qi Xiaowen (School of Management, Hefei University of Technology, Hefei 230009) Abstract: Currently collaborative filtering is the most successful and widely used recommendation technology in recommender systems. However, with the development of E-commerce, the magnitudes of users and commodities grow rapidly, which results in the extreme sparsity of user rating data. The method of searching for nearest neighbors in traditional collaborative filtering algorithm works poor in this situation, which makes the quality of the recommender systems decrease dramatically. To address this issue, a collaborative filtering recommendation algorithm based on item-class preference is proposed. The proposed algorithm first finds out a set of candidate neighbors who are similar to the active user in item-class preference. The candidate neighbors have similar interest and more co-rated items with the active user. Then the algorithm identifies some nearest neighbors in the candidate neighbor set, which eliminates the interference of the users who have few co-rated items with the active user, and enhances the accuracy of searching for nearest neighbors. The experimental results show that the proposed algorithm can efficiently improve recommendation quality. Keywords: recommender system, collaborative filtering, item-class preference, similarity 6. A Study on the Method of Mobile Content Recommendation Based on Frequent Marked Lattice Cai Shuqin1, Zhang Yu2, Hu Muhai1 and Xiao Quan3 （ 1.School of Management, Huazhong University of Science and Technology, Wuhan, Hubei, 430074 ； 2.School of Management, Wuhan Textile University, Wuhan 430073 ； 3.School of Information Technology, Jiangxi University of Finance Economics, Nanchang 330013 ） Abstract: In existing mobile content service systems, There are few studies is still quite rare on automatic situation service rule construction. Hence, a method is proposed that the semantic association rules between situations and preferences are built by quantitative frequent marked lattice based on ontological model. The method provides a solution to the problems of rule collision and context data availability. Frequent Marked Lattice further reduces needed node number for rule generation compared to frequent concept lattice and it is more convenient to extract different rules and calculate related parameters. The construction algorithm of FML and priority mechanism of rule extraction are designed. The validity of the algorithm is verified by experiment and an analysis is performed compared with the related works. Keywords: mobile content recommendation ， situation ， context ， ontology ， frequent marked lattice 7. Research on Knowledge Transfer Behavior of individuals Based on Cellular Automata Wu Jiangning, Liu Na and Xuan Zhaoguo (Institute of Systems Engineering, Dalian University of Technology, Dalian 116024) Abstract: Knowledge exchange and transfer are key means for the organization to acquire knowledge and hence promote its knowledge stock and competitive competence, which has attracted more attention from many knowledge managers. This paper starts with this issue and focuses on the different learning styles of individuals within the organization. The individuals involved are divided into two types, i.e. active learner or passive learner, whose learning attitude, behavior and knowledge stock will be changed during the process of knowledge exchange. The knowledge to be exchanged is expressed by a multi-dimensional vector. Hereby, a cellular automata knowledge transfer model is proposed to study the influence of structure of neighborhood, the ratio of initial active learners, the people movement and expert introduction mechanisms on the performance of knowledge transfer processes by using two kinds of rules which are the state update rule and the knowledge exchange rule respectively. Simulation results show that the local interactions between individuals at the micro-level reveal some complex properties like self-organization at the macro-level within the organization. The structure of Moore neighborhood is more effective on the knowledge exchange and transfer within the organization, and the growth of the average knowledge stock is going up with the increase of the ratio of initial active learners. Both the people movement and the expert introduction mechanisms can improve the performance of knowledge transfer and knowledge stocks. Besides, the growth of the average knowledge stock is proportional to the self-learning ability of individuals. Keywords: knowledge transfer, cellular automata, people movement, expert introduction 8. Evaluating Influence of Sampling Methods Upon Social Network Analysis Tan Xiaojie, Wu Kewen, Zhao Yuxiang, Zhu Qinghua and Wang Qianjun (Department of Information Management, Nanjing University, Nanjing 210093) Abstract: Social Network Analysis(SNA), a quantitative research method which aims at analyzing the structure and various properties of target network, has been applied in many academic fields. However, those existing studies emphasize more on the explanations of SNA indexes, rather than evaluating the impact of process elements to the research conclusion. This study selected four classic sampling methods (node sampling, link sampling, depth first sampling and snowball sampling) as the research object, and briefly analyzed the impact of different sampling methods to five typical SNA indexes (diameter, average distance, clustering coefficient, degree centrality and betweenness centrality) in scale free networks, which can be helpful to formalize the research process of implementing SNA. Keywords: social network analysis, sampling method, sample error, snowball sampling 9. A Study on the Scientific Research Collaboration Network of “ 985 Project” Universities in China Qiu Junping and Wen Fangfang (The Research Center of Chinese Science Evaluation, Hubei Wuhan 430072) Abstract: Universities have become the main component in the national scientific innovation system. As the collaboration between different universities strengthens, the study on the scientific research collaboration is of increasingly vital value and importance. This paper chooses the “985 Project” universities as the sample to study on their scientific research collaboration relationship from the perspective of co-authorship based on the methods and tools of Social Network Analysis. The research results illustrate that the 39 universities has already established the primary scientific research collaboration, but the intensity still waits for enhancement. Besides, there exists significant correlation between scientific output and scientific collaboration. It means that to some extent to strengthen collaboration intensity can improve the quantity of universities’ scientific output. Keywords: scientific collaboration, collaboration relationship, social network analysis, co-authorship 10. Patent Mapping of Technology Competition among Fortune 500 Enterprises Based on Global Patent Co-citation Analysis Wang Xianwen1 ， 2 ， Ding Kun1 ， 2 and Zhang Xi1 (1.Faculty of Humanities and Social Sciences, Dalian University of Technology, Dalian 116085 ； 2.Joint Institute for the Study of Knowledge Visualization and Scientific Discovery ， DUT?Drexel ） Abstract: Patent citations are generally used to provide support for specific statements of technology competition, when patentometrics has become one kind of main method to analyze competitive technical intelligence for companies. In this paper, the authors choose Fortune 500 enterprises, released in 2009, as research objects. Using patent data (2000~2009) from Derwent Innovation Index, employing full network methods in social network analysis, the authors construct the global patent co-citation matrix of Fortune 500 companies based on the patent forward citation, and conduct patent mapping analysis using information visualization technology and social network analysis method, including clustering distribution, Kernel density, and co-citation network analysis, to study the technology clusters, technology competition structure of Fortune 500, and to find the pivotal enterprises in the technology competition network. Keywords: forward citation ， patent co-citation ， technology competition ， patent mapping ， global co-citation 11. Co-word Analysis on the Hotspots in Chinese Library and Information Science for the Last Decade Wang Hong (Hubei University of Automotive Technology, Shiyan 442002) Abstract: Five years as a period ， this paper uses the co-word analysis method to perform cluster analysis and cluster relationship analysis to the high frequency keywords of eight core journals of Chinese Library and Information Science （ abbreviation LIS ） from 1998 to 2007. At the same time, the paper draws the relation table of clustering results and drafts the relationship figure of cluster, and systematically analyzes the research hotspots of Chinese LIS in different period, in order to reveal microscopically the research hotspots of Chinese LIS in different period. To sum up, the research hotspots of Chinese LIS has a certain characteristics of inheritance, continuity, stability, expansibility and variability. Keywords: co-word analysis, library and information science, cluster analysis, cluster relationship analysis 12. The Study on Information Visualization Technology in Medical Information Analysis Xiong Jun and Qiu Xiao （ School of Medicine and Health Management, Hangzhou Normal University, Hangzhou 310036 ） Abstract: We made the scientific map basis on the citation analysis, co-citation analysis, cluster analysis and social network analysis, and with the help of Citespace, Bibexcel, Pajek and Ucinet . Discussion on the use Information visualization techniques in medical information analysis. Through the knowledge mapping, we can determine the seven core journals. Use of network analysis methods analysis the social position and role ,which include the core journals, reference texts and the author. Through the keywords and Noun phrases, we draw the knowledge mapping of public health and preventive medicine, and reveal the research topic and hot from 2005?2009. I hope it can help someone who want to apply the information visualization technology in Medicine information. Keywords: information visualization ， knowledge mapping ， citation analysis ， cluster analysis ， public health and preventive medicine
标签: 英文摘要
