InternatIonal Journal of CognItIve InformatICs and natural IntellIgenCe April-June 2013, Vol. 7, No. 2 Table of Contents Special Issue on Cognitive-based Text Understanding and Web Wisdom Guest Editorial Preface iv Xiangfeng Luo, School of Computing Engineering and Science, Shanghai University, Shanghai, China Qing Li, Department of Computer Science, City University of Hong Kong, Hong Kong Qun Jin, Department of Human Informatics and Cognitive Sciences, Waseda University, Tokyo, Japan Feifei Xu, Department of Computer Science, Shanghai University of Electric Power, Shanghai, China Research Articles 1 Measuring the Semantic Relatedness Between Images Using Social Tags Zheng Xu, The Third Research Institute of Ministry of Public Security, Shanghai, China Zhiguo Yan, The Third Research Institute of Ministry of Public Security, Shanghai, China Yunhuai Liu, The Third Research Institute of Ministry of Public Security, Shanghai, China Lin Mei, The Third Research Institute of Ministry of Public Security, Shanghai, China 13 Extracting Visually Presented Element Relationships from Web Documents Radek Burget, Faculty of Information Technology, IT4Innovations Centre of Excellence, Brno University of Technology, Brno, Czech Republic Pavel Smrz, Faculty of Information Technology, IT4Innovations Centre of Excellence, Brno University of Technology, Brno, Czech Republic 30 Semantic Relatedness Estimation using the Layout Information of Wikipedia Articles Patrick Chan, Osaka University, Suita, Japan Yoshinori Hijikata, Osaka University, Suita, Japan Toshiya Kuramochi, Osaka University, Suita, Japan Shogo Nishida, Osaka University, Suita, Japan 49 Improving the Compression Efficiency for News Web Service Using Semantic Relations Among Webpages Xiao Wei, Shanghai University, Shanghai, China & Shanghai Institute of Technology, Shanghai, China & City University of Hong Kong, Hong Kong Xiangfeng Luo, Shanghai University, Shanghai, China Qing Li, City University of Hong Kong, Hong Kong 65 Semantically Linking Information Resources for Web-Based Sharing Junsheng Zhang, IT Support Center, Institute of Scientific and Technical Information of China, Beijing, China Yingfan Gao, IT Support Center, Institute of Scientific and Technical Information of China, Beijing, China Yanqing He, IT Support Center, Institute of Scientific and Technical Information of China, Beijing, China Hongjiao Xu, IT Support Center, Institute of Scientific and Technical Information of China, Beijing, China Chongde Shi, IT Support Center, Institute of Scientific and Technical Information of China, Beijing, China Peng Qu, IT Support Center, Institute of Scientific and Technical Information of China, Beijing, China 80 Measurement of Textual Complexity Based on Categorical Invariance Lixiao Zhang, School of Computer Engineering and Science, Shanghai University, Shanghai, China & Shanghai Sanda University, Shanghai, China Jun Zhang, School of Computer Engineering and Science, Shanghai University, Shanghai, China Copyright The International Journal of Cognitive Informatics and Natural Intelligence (ISSN: 1557-3958; e-ISSN: 1557-3966). Copyright © 2013 IGI Global. All rights, including translation into other languages reserved by the publisher. No part of this journal may be reproduced or used in any form or by any means without written permission from the publisher, except for noncommercial, educational use including classroom teaching purposes. Product or company names used in this journal are for identification purposes only. Inclusion of the names of the products or companies does not indicate a claim of ownership by IGI Global of the trademark or registered trademark. The views expressed in this journal are those of the authors but not necessarily of IGI Global. IJCINI is currently listed or indexed in: ACM Digital Library; Bacon's Media Directory; Cabell's Directories; Compendex (Elsevier Engineering Index); CSA Illumina; DBLP; Gale Directory of Publications & Broadcast Media; GetCited; Google Scholar; INSPEC; JournalTOCs; MediaFinder; PsycINFO®; SCOPUS; The Index of Information Systems Journals; The Standard Periodical Directory; Ulrich's Periodicals Directory.
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