A Subject-Oriented Ontology Development for Information Retrieval Application

Abstract

Recently,  ontology-based  application  is  an important approach of some researches in several fields of Computer Science.  The  development  of  Subject-Oriented Ontology  (SOO)  may  be  hard  for  research  groups. However, since SOO can apply to various areas especially for  subject-driven  researches,  research  groups  are continuing  to  search  for  solutions  for  building  it.  The paper proposes an approach to develop an SOO based on corpus  of  scientific  papers  by  building  subject  trees  and semantic  relationships  among  them.   Our  experiments were  tested  on  the  ACM  corpus  and  we  have  acchieved good results in the first phase