Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In recent years there have been some efforts to automate the ontology acquisition and construction process. The proposed systems differ from each other in some factors and have many features in common.  presents the state of the art in Ontology Learning (OL) and introduces a framework for classifying and comparing OL systems. The dimensions of the framework concern what to learn, from where to learn it and how it may be learnt. They include features of the input, the methods of learning and knowledge acquisition, the elements learned, the resulting ontology and also the evaluation process. To extract this framework, over 50 OL systems or modules thereof that have been described in recent articles are studied here and seven prominent ones, which illustrate the greatest differences, are selected for analysis according to our framework.  after a brief description of the seven selected systems  describe the dimensions of the framework. Then  place the representative ontology learning systems into our framework. Finally,  describe the differences, strengths and aknesses of various values for our dimensions in order to present a guideline for researchers to choose the appropriate features to create or use an OL system for their own domain or application.
['M Shamsfard', 'Ahmad Abdollahzadeh Barforoush']
I am writing a research paper on a idea The state of the art in ontology learning: a framework for comparison
[{"from": "human", "value": "I am writing a research paper on a idea The state of the art in ontology learning: a framework for comparison"}, {"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 there have been some efforts to automate the ontology acquisition and construction process. The proposed systems differ from each other in some factors and have many features in common.  presents the state of the art in Ontology Learning (OL) and introduces a framework for classifying and comparing OL systems. The dimensions of the framework concern what to learn, from where to learn it and how it may be learnt. They include features of the input, the methods of learning and knowledge acquisition, the elements learned, the resulting ontology and also the evaluation process. To extract this framework, over 50 OL systems or modules thereof that have been described in recent articles are studied here and seven prominent ones, which illustrate the greatest differences, are selected for analysis according to our framework.  after a brief description of the seven selected systems  describe the dimensions of the framework. Then  place the representative ontology learning systems into our framework. Finally,  describe the differences, strengths and aknesses of various values for our dimensions in order to present a guideline for researchers to choose the appropriate features to create or use an OL system for their own domain or application."}]