Semantic HMC for Big Data Analysis
This work addresses the challenge of analyzing big data for corporations to improve efficiency, but it appears incremental as it builds on existing classification and ontology techniques.
The authors tackled the problem of deriving value from big data by proposing Semantic HMC, a semantic hierarchical multi-label classification method based on unsupervised ontology learning, scalable machine learning, and rule-based reasoning, but no concrete results or numbers are provided.
Analyzing Big Data can help corporations to im-prove 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.