Journal of Information & Systems Management Madiha Liaqat, Zia-ul-Qayyum, Adeel Akram 2 2 2012 http://www.dline.info/jism/fulltext/v2n2/2.pdf This paper analyzes the crisp and fuzzy ontology for image classification and retrieval. It addresses a question of how fuzzy ontology performs as compared to crisp ontology in retrieving images. The approach is based on building ontology of natural scenes using Protégé for querying in more natural way and then integrating fuzzy logic to improve the image retrieval.