会议名称(中文)： 2015第十届智能系统与知识工程国际学术会议（ISKE2015）
会议名称(英文)： The 10th International Conference on Intelligent Systems and Knowledge Engineering(iske2015)
所属学科： 计算数学与科学工程计算,信息安全,人工智能,信号与信息处理,控制系统仿真技术
开始日期： 2015-11-24
结束日期： 2015-11-27
所在国家： 中华人民共和国
所在城市： 台湾省 台北市
主办单位： 西南交通大学信息技术学院
[ 组织结构 ]
会议主席： 李天瑞 博导
[ 重要日期 ]
摘要截稿日期： 2015-05-15
全文截稿日期： 2015-05-15
[ 会务组联系方式 ]
联系人： 钱芝玲
会议背景介绍：
The 2015 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2015) is the 10th in a series of ISKE conferences. ISKE 2015 follows the successful ISKE 2006 in Shanghai (China), ISKE 2007 in Chengdu (China), ISKE 2008 in Xiamen (China), ISKE 2009 in Hasselt (Belgium), ISKE 2010 in Hangzhou (China), ISKE 2011 in Shanghai (China), ISKE 2012 in Beijing (China), ISKE 2013 in Shenzhen (China), ISKE 2014 in Joao Pessoa (Brazil), ISKE 2015 will be held in Taipei, Taiwan, organized by the National Taiwan University of Science and Technology. ISKE 2015 emphasizes current practice, experience and promising new ideas in the broad area of intelligent systems and knowledge engineering. ISKE 2015 accepts submissions that have not been published or submitted in any form elsewhere. Besides technical/research papers, submissions reporting on industrial case studies are also welcome. Papers will be reviewed internationally and selected based on their originality, significance, relevance, and clarity of presentation.
征文范围及要求：
The topics include, but not limited to:
Foundations of Intelligent Systems:
Artificial Intelligence Theories; Intelligent System Models; Logic, Reasoning & Problem Solving; Multi-Agent Systems; Soft Computing and Fuzzy Systems; Case-Based Reasoning, Neural Networks; Probabilistic Reasoning; Search, Optimization and Planning; Genetic and Swarm Computing; Pattern Recognition; Speech Recognition; Computer Vision; Machine Learning; Biological Inspired Computation; Game Theory; Computational Intelligence (Distributed computing, cloud computing, and pervasive computing); Image/Video Processing, Computer Vision and Brain-Computer Interface, Cognitive Systems and Information processing, and Computational Neuroscience.
Knowledge Engineering and Management:
Knowledge Representation and Modeling; Knowledge Maintenance; Knowledge Elicitation; Knowledge-Based Systems; Expert Systems or Decision Support Systems; Content Management and Knowledge Management Systems; Workflow Management Systems; Business Process Reengineering; Ontology Engineering (Modeling, Mapping, Integration); Data Mining and Knowledge Discovery; Natural Language Processing; Text Mining, Classification and Summarization; Textual Entailment; Question Answering Systems; Document Preparation and Text Processing; Language Translation and Linguistics; Information Storage, Annotation and Retrieval; Unstructured and Semi-Structured Data Retrieval; Data Simulation, Modeling, and Visualization; Information and Knowledge Integration (Semantic Web; SOA, XML and Business Process Integration).
Practical Applications and Systems:
Social Computing, Service Computing and Mobile Computing; Intelligent Game; Intelligent Multimedia; User Interfaces and Human Computer Interaction; Intelligent Engineering Systems; Business Intelligence; Knowledge Engineering in E-commerce, Art and Education; Intelligent Bioinformatics Systems; Intelligent Healthcare Systems; E-learning and Intelligent Tutoring Systems; Intelligent Systems in Engineering and Science; Knowledge-based Software Engineering; Adaptive and Intelligent Control Systems, Perceptron and Navigation; Intelligent issues in GIS, Networks or in Internet of Things; Social Issues of Knowledge Engineering. |
