Title
Pilot eye monitoring for aircraft safety using semantic web tools & technologies
Abstract
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.
Year
DOI
Venue
2016
10.1109/GCCE.2016.7800403
2016 IEEE 5th Global Conference on Consumer Electronics
Keywords
Field
DocType
aviation,semantics,eye monitoring,cataract,glaucoma,crossed eyes
Ontology (information science),Eye disease,Computer vision,Glaucoma,Aircraft safety,Computer science,Aviation,Semantic Web,Human–computer interaction,Artificial intelligence,Mission critical,Semantics
Conference
ISBN
Citations 
PageRank 
978-1-5090-2334-9
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Dewan Abdullah100.34
Khalid Mahmood Malik283.60
Hironao Takahashi300.34