Designing Semiautomatic System in Ontology Structure by Co-occurrence Word Analysis and C-value Method (Case Study: The Field of Scientometrics of Iran)

Ontologies are the means of expression of formal concepts and relations in the specific regions. It have recently tried to design the learning methods and automation process of constructing of Ontology. Whereas Ontology containing concepts and the relations, extracting of concepts, the semantic relations among concept are important.
Constructing of various Ontology for various regions and different applications are expensive and time-consuming processe. Automation of this prose is important step. The lack of knowledge such as treasures or database of knowledge domains, will make it difficult to gain knowledge of ontology in different domains.
in present study a semi-automatic method was suggested in order to gain knowledge in the Iran scinetometrics domains. this method can extract information of this domain and processing exiting knowledge for constricting Ontology in a proses., therefore, at first, the documents of Domain were collected and then automated indexing by text mining
methods. text maing then, it was in the next step by using C-value method, main oncepts were extract., than by using k-means clustering, relater documents were clustered, and based on TF-IDF method, main concepts were estrect for each cluster. Finally by using co-word analyses the hierarchy of concepts were extract and related ontology were construct. The results showed that this method in compare with other has had a lot accuracy in ontology building learning.