Intelligent Chatbot Using Semantic Knowledge and Summarizer |
Author(s): |
| L.B.Venkatesh , Dr. Mahalingam College of Engineering and Technology; R.Gayathri, Dr. Mahalingam College of Engineering and Technology; R.Vinoth Kanna, Dr. Mahalingam College of Engineering and Technology; V.Priya, Dr. Mahalingam College of Engineering and Technology |
Keywords: |
| Chatbots, Machine Learning, Natural Language Processing, Ontology, Semantic Knowledge |
Abstract |
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Chatbots are applications that provide interaction between humans and machines. Though may chatbot systems have evolved, there is a need for performance improvement based on retrieval accuracy, time and other parameters in the existing system. An Ontology based intelligence chatbot has been proposed to improve accuracy. This chatbot helps user by mapping relationships of the various entities required by the user, thus providing details and accurate information there by overcoming the drawbacks of the traditional chatbots. The ontology template is developed using Protégé which stores the knowledge acquired from the website APIs while the dialog manager is handled using Dialogflow. Existing chatbot does not used any semantic knowledge based on Ontology. The intelligent chatbot is expected to improve in its performance. |
Other Details |
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Paper ID: IJSRDV7I120597 Published in: Volume : 7, Issue : 12 Publication Date: 01/03/2020 Page(s): 765-768 |
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