Semantic HMC: Ontology-Described Hierarchy Maintenance in Big Data Context

摘要: One of the biggest challenges in Big Data is exploitation Value from large volumes data that are constantly changing. To exploit value, one must focus on extracting knowledge these sources. extract and value unstructured text we propose using a Hierarchical Multi-Label Classification process called Semantic HMC uses ontologies to describe predictive model including label hierarchy classification rules. not overload user, this automatically learns ontology-described very set documents. This paper aims present maintenance relations with regards stream documents context incrementally updates hierarchy.