Graph-based Question Answering System

Piyush Mital, Saurabh Agrawal, Bhargavi Neti, Yashodhara Haribhakta, Vibhavari Kamble, Krishnanjan Bhattacharjee, Debashri Das, Swati Mehta, Ajai Kumar

Abstract: In today's digital age, in the dawning era of big data analytics, it is not the information but the linking of information through entities and actions, which defines the discourse. Any textual data either available on the Internet or off-line (like newspaper data, Wikipedia dump, etc) is basically connected information which cannot be treated isolated for its wholesome semantics. There is a need for an automated retrieval process with proper information extraction to structure the data for relevant and fast text analytics. The first big challenge is the conversion of unstructured textual data to structured data. Unlike other databases, graph databases handle relationships and connections very elegantly. Our project aims at developing a graph based information extraction and retrieval system.