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 off off-line (like newspaper data, Wikipedia dump, etc) is basically connect 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 elegantly. Our project aims at developing a graph-based information extraction and retrieval system.
@article{arxiv.1812.01828,
title = {Graph based Question Answering System},
author = {Piyush Mital and Saurabh Agarwal and Bhargavi Neti and Yashodhara Haribhakta and Vibhavari Kamble and Krishnanjan Bhattacharjee and Debashri Das and Swati Mehta and Ajai Kumar},
journal= {arXiv preprint arXiv:1812.01828},
year = {2018}
}
Comments
ICACCI 2018 Camera Ready and Accepted. ICACCI'18 is technically co-sponsored by IEEE and IEEE Communications Society