Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In recent years, the success of Semantic b is strongly related to the diffusion of numerous distributed ontologies enabling shared machine readable contents. Ontologies vary in size, semantic, application domain, but often do not foresee the representation and manipulation of uncertain information. Here  describe an approach for automatic fuzzy ontology elicitation by the analysis of b resources collection. The approach exploits a fuzzy extension of Formal Concept Analysis theory and defines a methodological process to generate an OWL-based representation of concepts, properties and individuals. A simple case study in the b domain validates the applicability and the flexibility of this approach.
['Carmen De Maio', 'Giuseppe Fenza', 'Vincenzo Loia', 'Sabrina Senatore']
I am writing a research paper on a idea Towards an automatic fuzzy ontology generation
[{"from": "human", "value": "I am writing a research paper on a idea Towards an automatic fuzzy ontology generation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In recent years, the success of Semantic b is strongly related to the diffusion of numerous distributed ontologies enabling shared machine readable contents. Ontologies vary in size, semantic, application domain, but often do not foresee the representation and manipulation of uncertain information. Here  describe an approach for automatic fuzzy ontology elicitation by the analysis of b resources collection. The approach exploits a fuzzy extension of Formal Concept Analysis theory and defines a methodological process to generate an OWL-based representation of concepts, properties and individuals. A simple case study in the b domain validates the applicability and the flexibility of this approach."}]