Semantic HMC for Big Data Analysis

被引:0
作者
Hassan, Thomas [1 ]
Peixoto, Rafael [2 ]
Cruz, Christophe [1 ]
Bertaux, Aurlie [1 ]
Silva, Nuno [2 ]
机构
[1] Univ Bourgogne, Dijon, France
[2] Polytech Porto, Oporto, Portugal
来源
2014 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2014年
关键词
classification; multi-classify; Big-Data; ontology; semantic technologies; machine learning; TEXT;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Analyzing Big Data can help corporations to improve their efficiency. In this work we present a new vision to derive Value from Big Data using a Semantic Hierarchical Multi-label Classification called Semantic HMC based in a non-supervised Ontology learning process. We also proposea Semantic HMC process, using scalable Machine-Learning techniques and Rule-based reasoning.
引用
收藏
页数:3
相关论文
共 18 条
[1]  
[Anonymous], 2011, IDCS DIGITAL UNIVERS
[2]   Recommender systems survey [J].
Bobadilla, J. ;
Ortega, F. ;
Hernando, A. ;
Gutierrez, A. .
KNOWLEDGE-BASED SYSTEMS, 2013, 46 :109-132
[3]   Big Data: A Survey [J].
Chen, Min ;
Mao, Shiwen ;
Liu, Yunhao .
MOBILE NETWORKS & APPLICATIONS, 2014, 19 (02) :171-209
[4]   Domain taxonomy learning from text: The subsumption method versus hierarchical clustering [J].
de Knijff, Jeroen ;
Frasincar, Flavius ;
Hogenboom, Frederik .
DATA & KNOWLEDGE ENGINEERING, 2013, 83 :54-69
[5]  
Dean J, 2004, USENIX ASSOCIATION PROCEEDINGS OF THE SIXTH SYMPOSIUM ON OPERATING SYSTEMS DESIGN AND IMPLEMENTATION (OSDE '04), P137
[6]   Linked Data, Big Data, and the 4th Paradigm [J].
Hitzler, Pascal ;
Janowicz, Krzysztof .
SEMANTIC WEB, 2013, 4 (03) :233-235
[7]  
Kwok J., 2011, YEAST, P1
[8]  
Lambe P., 2014, ORGANISING KNOWLEDGE
[9]  
Lops P, 2011, RECOMMENDER SYSTEMS HANDBOOK, P73, DOI 10.1007/978-0-387-85820-3_3
[10]  
Meijer K., 2014, DECISION SUPPORT SYS