Publication

Abstract : Question answering system is the significant application of Artificial Intelligence. If users ask for information from QA system in the form of natural language query, the syntax and semantics of query is understood by QA system and response is generated. Several existing solutions are proposed for AI-based QA system in E-commerce, Robotics, Autonomous vehicles and IoT-based solutions. However, to the best of our knowledge, very few research work have focused on QA system for NoSQL data stores. NoSQL (Not Only SQL) is data storage technique where Big heterogeneous data is saved by organizations. Researchers have proposed query languages for different types of NoSQL data storage. The limitations of existing solutions is that no standard query language is proposed and different query syntax are available for different data storage. If user asks in the form of natural language query, QA system should map this to respective NoSQL data store using Artificial Intelligence. In this paper, this issue is highlighted and key solutions are provided to resolve this issue. The key finding of our approach is that Question-Answering system interface is used where users can ask in natural language and query is mapped to specific NoSQL data store query using parse tree.