SLIA 2014 - International Workshop on Semantic Learning and Intelligent Awareness
Date2014-06-03 - 2014-06-05
Deadline2014-02-15
VenueMoscow, Russia
Keywords
Websitehttps://itqm2014.hse.ru
Topics/Call fo Papers
Prof. Guo Li, guoli-AT-iie.ac.cn (IIE, Chinese Academy of Sciences, China)
Prof. Boris Mirkin, bmirkin-AT-hse.ru (HSE, Moscow, Russia)
Prof. Hu Yue, huyue-AT-iie.ac.cn (IIE, Chinese Academy of Sciences, China)
Dr. Zhou Xiaofei, zhouxiaofei-AT-iie.ac.cn (IIE, Chinese Academy of Sciences, China)
Semantic knowledge discovery, extraction and analysis are becoming more widespread and significant in data mining, artificial intelligence and knowledge management fields. Semantic is latent essential knowledge, feature, structure and relations behind the big information data, such as text semantic, multimedia semantic and semantic graph etc. This workshop aims to provide an international forum to discuss semantic learning and data intelligent mining for computational science, knowledge engineering and management decision discipline fields.
The topics covered will include, but not limited to:
1) Semantic extraction and expression
2) Text semantic analysis
3) Semantic learning of event ontologies
4) Multimedia semantic learning
5) Semantic graph
6) Semantic knowledge in management decision
7) Semantic representations of spatio-temporal data
8) Social agents for intelligent awareness
9) Situational semantic awareness
10) Data mining technique: classification, clustering, regression etc.
11) Text mining
12) Information filter
13) Object recognition
14) Content retrieval
15) Probabilistic models
16) Topic Models
17) Graph Computing
Prof. Boris Mirkin, bmirkin-AT-hse.ru (HSE, Moscow, Russia)
Prof. Hu Yue, huyue-AT-iie.ac.cn (IIE, Chinese Academy of Sciences, China)
Dr. Zhou Xiaofei, zhouxiaofei-AT-iie.ac.cn (IIE, Chinese Academy of Sciences, China)
Semantic knowledge discovery, extraction and analysis are becoming more widespread and significant in data mining, artificial intelligence and knowledge management fields. Semantic is latent essential knowledge, feature, structure and relations behind the big information data, such as text semantic, multimedia semantic and semantic graph etc. This workshop aims to provide an international forum to discuss semantic learning and data intelligent mining for computational science, knowledge engineering and management decision discipline fields.
The topics covered will include, but not limited to:
1) Semantic extraction and expression
2) Text semantic analysis
3) Semantic learning of event ontologies
4) Multimedia semantic learning
5) Semantic graph
6) Semantic knowledge in management decision
7) Semantic representations of spatio-temporal data
8) Social agents for intelligent awareness
9) Situational semantic awareness
10) Data mining technique: classification, clustering, regression etc.
11) Text mining
12) Information filter
13) Object recognition
14) Content retrieval
15) Probabilistic models
16) Topic Models
17) Graph Computing
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Last modified: 2014-01-18 16:06:20