Title :
Semantic HMC for big data analysis
Author :
Hassan, Thomas ; Peixoto, Rafael ; Cruz, Cristovao ; Bertaux, Aurlie ; Silva, Nuno
Author_Institution :
Univ. de Bourgogne, Dijon, France
Abstract :
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 propose a Semantic HMC process, using scalable Machine-Learning techniques and Rule-based reasoning.
Keywords :
Big Data; data analysis; inference mechanisms; knowledge based systems; learning (artificial intelligence); ontologies (artificial intelligence); pattern classification; Big Data analysis; machine-learning techniques; nonsupervised ontology learning process; rule-based reasoning; semantic HMC; semantic hierarchical multilabel classification; Big data; Cognition; Data mining; Ontologies; Semantics; Taxonomy; Vectors; Big-Data; classification; machine learning; multi-classify; ontology; semantic technologies;
Conference_Titel :
Big Data (Big Data), 2014 IEEE International Conference on
Conference_Location :
Washington, DC
DOI :
10.1109/BigData.2014.7004482
