Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Automatic Ontology-Based Knowledge Extraction from Web Documents
IEEE Intelligent Systems
The state of the art in ontology learning: a framework for comparison
The Knowledge Engineering Review
Risk Analysis with Information Described in Natural Language
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Empirical textual mining to protein entities recognition from pubmed corpus
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
Semantic annotation of a natural language corpus for knowledge extraction
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
Ontology extension and population: an approach for the pharmacotherapeutic domain
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
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In this paper we propose an NLP-based Ontology Population approach for a Generic Structure instantiation from natural language texts, in the domain of Risk Management. The approach is semi-automatic and based on combined NLP techniques using domain expert intervention for control and validation. It relies on the predicative power of verbs in the instantiation process. It is not domain dependent since it heavily relies on linguistic knowledge. We demonstrate the effectiveness of our method on the ontology of the PRIMA project (supported by the European community) and we populate this generic domain ontology via an available corpus. A first validation of the approach is done through an experiment with Chemical Fact Sheets from Environmental Protection Agency.