Feel-Phy: An intelligent web-based physics QA system

• Main Authors: Fong, Kwong Seng, Bong, Chih How, Zahrah, Binti Ahmad, Norisma, H. Idris
• Format: E-Article
• Language: English
• Published: Springer Verlag 2016
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://ir.unimas.my/id/eprint/14090/1/Feel-Phy-An-intelligent-web-based-physics-QA-system_2016_Communications-in-Computer-and-Information-Science.html; http://ir.unimas.my/id/eprint/14090/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84989311653&partnerID=40&md5=cd415fc52c6f3e4c3effff95cabd2b13
• Institution: Universiti Malaysia Sarawak

Feel-Phy is a computerized and unmanned question answering system which is able to solve open-ended Physics problems, providing adaptive guidance and retrieve relevant resources to user inputs. Latent Semantic Indexing (LSI) is employed to process the user inputs and retrieve relevant references. Th...