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Pilot eye monitoring for aircraft safety using semantic web tools & technologies

The condition of the pilot eyes is one of the important safety factors for the mission critical aviation business. There are so many eye diseases that can effect pilot normal working namely cataract, glaucoma, crossed eyes etc. In this paper we propose advanced analysis of eye diseases for the safety of the pilot operations. Our analysis involves using different semantic techniques in order to conclude for the presence of the mentioned eye diseases using clinical notes of the pilot. We propose using different medical ontologies and SWRL along with NLP techniques in order to predict the most prominent eye disease.