Building basic level knowledge network

In order to realize a human-like intuitive communication between human and robot, a robot should understand the human´s basic level knowledge which is usually hidden in communication. However, as human´s basic level knowledge has been unconsciously built during our development, it is very hard to build the knowledge network as the computational system. In this paper, we propose the approach to build the basic level knowledge network through different types of corpus including websites, books, and other available common sense knowledge bases. As for the main part, we build our Basic level Knowledge Network system semantic elements, namely concepts and connections. Each connection is weighted by a set of weights which represents the commonness of the semantic element. We implemented our system onto iPad to realize a human-robot interface device for the scenario of “Bring something”.