SLIA 2013 - First Workshop on Semantic Learning and Intelligent Awareness
Date2013-05-16 - 2013-05-18
Deadline2013-02-15
VenueSuzhou, China
Keywords
Websitehttps://www.itqm-meeting.org
Topics/Call fo Papers
Workshop Chair: Alex Liu ( alexliu360-AT-gmail.com ,Michigan State University, USA)
Dr. Zhou Xiaofei ( zhouxiaofei-AT-iie.ac.cn,Chinese Academy of Sciences, China)
Semantic knowledge discovering, extraction and learning are becoming more widespread and significant in the fields such as information filter, text mining, content retrieval, web analysis and multimedia recognition. Semantic is unseen essential knowledge, which is latent structure, feature, and relations behind the web content, link, text context, words, documents, multimedia, and social agents. Currently semantic methods including semantic web, text semantic, document topic, wordnet, multimedia semantic, are the hot researches in computer science disciplines involving natural language, artificial intelligence, pattern mining, graph computing, social and behavior studies etc. The aim of this session is to provide an international forum to discuss semantic learning and data intelligent awareness for many research fields of computational sciences. The topics covered will include, but not limited to:
*Web mining & security
*Semantic Learning for text mining
*Semantic knowledge in multimedia
*Social agents for intelligent awareness
*Intelligent information filter
*Context-based recognition
*Unsupervised learning of event ontologies
*Semantic representations of spatio-temporal data
*Semantic multimedia presentation
*Event recognition by vision information
*Situational semantic awareness
*Content retrieval based semantic knowledge
*Probabilistic models
* Topic Models
*Graph Computing
Dr. Zhou Xiaofei ( zhouxiaofei-AT-iie.ac.cn,Chinese Academy of Sciences, China)
Semantic knowledge discovering, extraction and learning are becoming more widespread and significant in the fields such as information filter, text mining, content retrieval, web analysis and multimedia recognition. Semantic is unseen essential knowledge, which is latent structure, feature, and relations behind the web content, link, text context, words, documents, multimedia, and social agents. Currently semantic methods including semantic web, text semantic, document topic, wordnet, multimedia semantic, are the hot researches in computer science disciplines involving natural language, artificial intelligence, pattern mining, graph computing, social and behavior studies etc. The aim of this session is to provide an international forum to discuss semantic learning and data intelligent awareness for many research fields of computational sciences. The topics covered will include, but not limited to:
*Web mining & security
*Semantic Learning for text mining
*Semantic knowledge in multimedia
*Social agents for intelligent awareness
*Intelligent information filter
*Context-based recognition
*Unsupervised learning of event ontologies
*Semantic representations of spatio-temporal data
*Semantic multimedia presentation
*Event recognition by vision information
*Situational semantic awareness
*Content retrieval based semantic knowledge
*Probabilistic models
* Topic Models
*Graph Computing
Other CFPs
- Special Session on Fuzzy Preference Modelling, Decision Making and Consensus
- Special Session on Soft Computing Methods in Quantitative Management
- Special Session on Optimal Decisions on Production and Logistics
- Special Session on Multicriteria Analysis with Imprecise Information and Criteria Interactions
- Security and Privacy in Healthcare IT special track in the 26th IEEE International Symposium on Computer-Based Medical Systems
Last modified: 2012-11-26 22:36:51