Providing FAQ lists based on ontology

Researchers have been fascinated in FAQ (Frequently Asked Questions) management systems in recent years. These systems have reduced the cost of supporting productions. The goal of this research is to implement a Persian FAQ generator in PC domain based on ontology. There are several steps for implementation. First, all slangs are converted into formal Persian phrases. Second, our proposed similarity method measures similarity between questions. After creating question similarity matrix, similar questions are gathered in the same clusters. FAQ lists are created based on clusters which have the most number of members. Evaluations indicates that our proposed similarity matrix generates the best results in comparison with Lin, MCS, and LSA matrices. Moreover, our proposed clustering method provides better results compared to hierarchical complete-linkage, hierarchical single-linkage, and Kmeans methods.