This two volume set LNCS 5981 and LNCS 5982 constitutes the refereed proceedings of the 15th International Conference on Database Systems for Advanced Applications, DASFAA 2010, held in Tsukuba, Japan, in April 2010. The 39 revised full papers and 16 revised short papers presented together with 3 invited keynote papers, 22 demonstration papers, 6 industrial papers, and 2 keynote talks were carefully reviewed and selected from 285 submissions. The papers of the first volume are organized in topical sections on P2P-based technologies, data mining technologies, XML search and matching, graphs, spatialdatabases, XML technologies, time series and streams, advanced data mining, query processing, Web, sensor networks and communications, information management, as well as communities and Web graphs. The second volume contains contributions related to trajectories and moving objects, skyline queries, privacy and security, data streams, similarity search and event processing, storage and advanced topics, industrial, demo papers, and tutorials and panels.

This book introduces Chinese language-processing issues and techniques to readers who already have a basic background in natural language processing (NLP). Since the major difference between Chinese and Western languages is at the word level, the book primarily focuses on Chinese morphological analysis and introduces the concept, structure, and interword semantics of Chinese words. The following topics are covered: a general introduction to Chinese NLP; Chinese characters, morphemes, and words and the characteristics of Chinese words that have to be considered in NLP applications; Chinese word segmentation; unknown word detection; word meaning and Chinese linguistic resources; interword semantics based on word collocation and NLP techniques for collocation extraction. Table of Contents: Introduction / Words in Chinese / Challenges in Chinese Morphological Processing / Chinese Word Segmentation / Unknown Word Identification / Word Meaning / Chinese Collocations / Automatic Chinese Collocation Extraction / Appendix / References / Author Biographies

The International Conference on the Computer Processing of Oriental L- guages(ICCPOL)seriesishostedbytheChineseandOrientalLanguagesSociety (COLCS),aninternationalsocietyfoundedin1975.RecentICCPOLeventshave been held in Hong Kong (1997), Tokushima, Japan (1999), Seoul, Korea (2001), Shenyang, China (2003) and Singapore (2006). This volume presents the proceedings of the 22nd International Conference ontheComputerProcessingofOrientalLanguages(ICCPOL2009)heldinHong Kong, March 26-27, 2009. We received 63 submissions and all the papers went through a blind review process by members of the Program Committee. After careful discussion, 25 of them were selected for oral presentation and 15 for poster presentation. The accepted papers covered a variety of topics in natural language processing and its applications, including word segmentation, phrase and term extraction, chunking and parsing, semantic labelling, opinion mining, ontology construction, machine translation, information extraction, document summarization and so on. On behalf of the Program Committee, we would like to thank all authors of submitted papers for their support. We wish to extend our appreciation to the Program Committee members and additional external reviewers for their tremendous e?ort and excellent reviews. We gratefully acknowledge the Or- nizing Committee and Publication Committee members for their generous c- tribution to the success of the conference. We also thank the Asian Federation of Natural Language Processing (AFNLP), the Department of Computing, The Hong Kong Polytechnic University, Hong Kong, the Department of Systems - gineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong, and the Centre for Language Technology, Macquarie University, Australia for their valuable support.

Social media platforms have been ubiquitously used in our daily lives and are steadily transforming the ways people communicate, socialize and conduct business. However, the growing popularity of social media adversely leads to wild spread of unreliable information. This in turn inevitably creates serious pollution problem of the global social media environment, which is harmful against humanity. For example, President Donald Trump used social media strategically to win in the 2016 USA Presidential Election. But it was found that many messages he delivered over social media were unproven, if not untrue. This problem must be prevented at all cost and as soon as possible. Thus, analysis of social media content is a pressing issue. It is a timely and important research subject worldwide. However, the short and informal nature of social media messages renders conventional content analysis, which is based on natural language processing (NLP), ineffective. This volume consists of a collection of highly relevant scientific articles published by the authors in different international conferences and journals, and is divided into three distinct parts: (I) search and filtering; (II) opinion and sentiment analysis; and (III) event detection and summarization. This book presents the latest advances in NLP technologies for social media content analysis, especially content on microblogging platforms such as Twitter and Weibo.