A Study of Information Bots and Knowledge Bots
Amartya Hatua · Aquila Digital Community (University of Southern Mississippi) · 2020
In this dissertation, a study of different aspects of information bots and knowledge bots is done. The research contributes to a better understanding of the various characteristics of information bots as well as the different patterns and factors responsible for the information diffusion in a social network. This research also shows how these factors can be used to predict information diffusion for a particular topic in a social network. The second part of the research is focused on strategies for improving the knowledge base of knowledge bots, where two different approaches are studied. In the first approach, knowledge is transferred from other similar types of domains, thus reducing the time and effort required for knowledge acquisition. In the second approach, an attempt is made to generate human-like data, thereby augmenting the knowledge base. To analyze and implement these various methodologies, different machine learning, deep learning and reinforcement learning techniques are used, and encouraging experimental results are presented that demonstrate the great potential of our approaches in applications using knowledge bots.