OntoRich - A Support Tool for Semi-Automatic Ontology Enrichment and Evaluation
This addresses the need for efficient ontology maintenance in domains like knowledge management, but it is incremental as it builds on existing NLP tools.
The paper tackles the problem of dynamic ontology enrichment by proposing the OntoRich framework, which uses WordNet and OpenNLP to extract candidates from RSS streams and evaluate them with qualitative metrics, resulting in a semi-automatic tool for this task.
This paper presents the OntoRich framework, a support tool for semi-automatic ontology enrichment and evaluation. The WordNet is used to extract candidates for dynamic ontology enrichment from RSS streams. With the integration of OpenNLP the system gains access to syntactic analysis of the RSS news. The enriched ontologies are evaluated against several qualitative metrics.