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Every research field (domain) has a lot of data or information in textual format. The main problem is how to optimally arrange and transform the textual data or information to explore research issues. The authors propose a framework that may help in exploration of research issues from text of specific field (domain). First textual data or information is transformed to semantic network by using some transformation functions or algorithms. Then the semantic network is transformed to frames using other transformation functions or algorithms. Knowledge base, semantic networks and frames repositories are updated from new concepts, semantic networks and frames respectively. By doing this, exploration of research issues from text may become quick, efficient and easy.