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

Fong, Kwong Seng and Bong, Chih How and Zahrah, Binti Ahmad and Norisma, H. Idris (2016) Feel-Phy: An intelligent web-based physics QA system. Communications in Computer and Information Science, 652. pp. 259-270. ISSN 18650929

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Abstract

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. The proposed architecture for Feel-Phy constitutes of four basic modules: data extraction, question classification, solution identification and answer formulation. The data extraction module is used to construct a Physics knowledge base. The question classification module is used to identify question type and understand the question. The solution identification module computes the answer to the question and also retrieve the top n most relevant resource References to the users. Finally, the last module, answer formulation is to present the results to the users. Our preliminary experiments have shown that this proposed method is able to solve well-structure Physics question and retrieve relevant References to the users.

Item Type: Article
Uncontrolled Keywords: Calculation; Information retrieval; LSI; Open text question; Physics problem; QA system, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Ibrahim
Date Deposited: 31 Oct 2016 07:09
Last Modified: 31 Oct 2016 07:09
URI: http://ir.unimas.my/id/eprint/14090

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