@article{(Open Science Index):https://publications.waset.org/pdf/8580,
	  title     = {Ontology Population via NLP Techniques in Risk Management},
	  author    = {Jawad Makki and  Anne-Marie Alquier and  Violaine Prince},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper we propose an NLP-based method for
Ontology Population from texts and apply it to semi automatic
instantiate a Generic Knowledge Base (Generic Domain Ontology) in
the risk management domain. The approach is semi-automatic and
uses a domain expert intervention for validation. The proposed
approach relies on a set of Instances Recognition Rules based on
syntactic structures, and on the predicative power of verbs in the
instantiation process. It is not domain dependent since it heavily
relies on linguistic knowledge.
A description of an experiment performed on a part of the
ontology of the PRIMA1 project (supported by the European
community) is given. A first validation of the method is done by
populating this ontology with Chemical Fact Sheets from
Environmental Protection Agency2. The results of this experiment
complete the paper and support the hypothesis that relying on the
predicative power of verbs in the instantiation process improves the
	    journal   = {International Journal of Industrial and Manufacturing Engineering},
	  volume    = {2},
	  number    = {7},
	  year      = {2008},
	  pages     = {708 - 713},
	  ee        = {https://publications.waset.org/pdf/8580},
	  url   	= {https://publications.waset.org/vol/19},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 19, 2008},