Title: An Interactive System for Knowledge Graph Search
Authors: Sinha Baivab, Xin Wang, Wei Jiang, Ju Ma, Huayi Zhan and Xueyan Zhong
Abstract: Recent years, knowledge graphs (KG) have experienced rapid growth since they contain enormous volume of facts about the real world, and become the source of various knowledge. It is hence highly desirable that the query-processing engine of a KG is capable of processing queries presented in natural language directly, though these natural language queries bring various ambiguities. In this paper, we present KGBot, an interactive system for searching information from knowledge graphs with natural language. KGBot has the following characteristics: it (1) understands queries issued with natural languages; (2) resolve query ambiguity via human-computer interaction ; and (3) provides a graphical interface to interact with users.
