Title: A QUESTION-ANSWERING INFERENCING SYSTEM BASED ON DEFINITION AND ACQUISITION OF KNOWLEDGE IN WRITTEN ENGLISH TEXT

Issue Number: Vol. 6, No. 4
Year of Publication: Oct - 2016
Page Numbers: 292-298
Authors: Kenta Hiratsuka , Hiroki Imamura
Journal Name: International Journal of Digital Information and Wireless Communications (IJDIWC)
- Hong Kong
DOI:  http://dx.doi.org/10.17781/P002154

Abstract:


In recent years, question-answering systems have become a major area of research and development in information search technologies. We have proposed a new question answering system that can produce new knowledge by the logical inferencing. The proposed system is based on two characteristics that are logical inferencing using the knowledge and dealing with diversity in natural language. To realize this system, in this paper, we construct a question-answering processing section that can perform logical inferencing in the proposed system. This system performs inferencing based on "knowledge sentences" and "definition sentences". It can perform a more complicated logical inference by using definition sentences and performing the inference repeatedly. In this way, new knowledge is not only acquired by humans, but may be produced by the logical combination of knowledge. In the future, this system has the potential to become an important aid to human intellectual activity.