UGLEO: A WEB BASED INTELLIGENCE CHATBOT FOR STUDENT ADMISSION PORTAL USING MEGAHAL STYLE
Management Information System, Master Degree Program Gunadarma University
Indonesia
Management Information System, Master Degree Program Gunadarma University
Indonesia
Abstract
To fulfill the prospective student's information need about student admission, Gunadarma University has already many kinds of services which are time limited, such as website, book, registration place, Media Information Center, and Question Answering’s website (UG-Pedia). It needs a service that can serve them anytime and anywhere. Therefore, this research is developing the UGLeo as a web based QA intelligence chatbot application for Gunadarma University's student admission portal. UGLeo is developed by MegaHal style which implements the Markov Chain method. In this research, there are some modifications in MegaHal style, those modifications are the structure of natural language processing and the structure of database. The accuracy of UGLeo reply is 65%. However, to increase the accuracy there are some improvements to be applied in UGLeo system, both improvement in natural language processing and improvement in MegaHal style.
Keywords
References
B. A. Shawar and E. Atwell, “A chatbot as a question answering tool,” In International Conference on Advances in Software, Control and Mechanical Engineering, 2015.
B. A. Shawar, “A Corpus Based Approach to Generalising a Chatbot System.” PhD thesis, University of Leeds School of Computing, 2005.
S. Quarteroni and S. Manandhar, “A chatbot-based interactive question answering system,” In 11th Workshop on the S, 2007.
G. R. Sankar, J. Greyling, and D. Vogts, “Towards a conversational agent for contact centres,” In SATNAC, 2008.
A. S. Lokman and J. M. Zain, “One-match and all-match categories for keywords matching in chatbot,” American Journal of Applied Sciences 7, pp. 1406– 1411, 2010.
F. A. Mikic, J. C. Burguillo, A. Peleteiro, and M. Rey-Lopez, “Using tags in an aiml-based chatterbot to improve its knowledge,” Computer Science, pp. 123– 133, 2012.
L. Prize, “What is the loebner prize?,” 1995. [Online]. Accessed on June 2016.Available: http://www.loebner.net/Prizef/loebner- prize.html.
L. Bradesko and D. Mladenic, “A survey of chatbot systems through a loebner prize competition,” Research Gate, 2012. [Online]. Accessed on January 2016. Available: https://www.researchgate.net/profile/Luka_Bradesko/publication/235664166_A_S urvey_of_Chatbot_Systems_through_a_Loebner_Prize_Competition/links/09e415 12679b504a17000000.pdf?origin=publication_detail.
J. L. Hutchens and M. D. Alder, M. D, “Introducing megahal,” ACL Home Association for Computational Linguistics, 1993. [Online]. Accessed on January 2016. Available:http://www.csee.umbc.edu/courses/471/papers/introducing- megahal.pdf
S. J. Russell and P. Norvig, Artificial Intelligence: A Modern, 3rd Edition. Pearson Education Limited, 2010.
Z. Ghahramani, Unsupervised Learning, University College Lon-don, UK, Gatsby Computational Neuroscience Unit, 2004.
E. D. Liddy, Encyclopedia of Library and Information Science, 2nd Edition, chapter Natural Language Processing. Marcel Decker, Inc, 2001.
P. M. Nadkarni and L. Ohno-Machado, and W. W. Chapman, Natural language processing: an introduction. J Am Med Inform Assoc, 2011.
N. Indurkhya and F. J. Damerau, Handbook of Natural Language Processing, 2nd Edition. Chapman & Hall, 2010.
B. A. Shawar, A chatbot as a natural web interface to Arabic web qa,” iJET, 2011.
B. A. Shawar and E. Atwell, “Chatbots: Are they really useful?” LDV-Forum, 2007.
D. Nopiyanti and K. Sekarwati, “Aplikasi pencarian kata dasar dokumen berbahasa indonesia dengan metode stemming porter menggunakan php dan mysql,” In Prosiding Seminar Ilmiah Nasional Komputer dan Sistem Intelijen, volume 8: KOMMIT, 2014.
