Bulletin of the Technical Committee on Data Engineering December 2023. Vol. 47, No. 4. IEEE Computer Society
Our paper can be found in this edition of the IEEE Computer Society's Bulletin of the Technical Committee on Data Engineering. You can also directly find the paper here.
Research and work-related information is often manifold for a scientist, and the absence of an organizing system may impede their research. Information that holds immense personal interest and importance to a scientist may not be relevant to other users, yet it must be easily accessible to the scientist to enhance their productivity. We aim to address the need for such a system with our proposal of a knowledge graph for scientists, termed the Personal Research Knowledge Graph (PRKG). To identify the components of a PRKG, we interview scientists at an academic institution for higher education and research regarding the issues that the presence of a PRKG could solve. We translate the scientists’ requirements into separate KGs, collectively known as the ‘Vitamins of PRKG’, and discuss methods for data acquisition to construct and maintain the PRKG. A smart virtual agent is proposed as a medium of interaction between the user and the PRKG. We also outline future research tracks, including those focused on maintaining the PRKG and protecting personal data and privacy
We would like to extend our acknowledgement and gratitude to the following scientists from the Indian Association for the Cultivation of Science, whose inputs helped us pin-point the constituents and utility of the PRKG:
- Prof. Raja Paul
- Prof. Debashree Ghosh
- Prof. Biman Jana
- Dr. Sumanta Chakraborty
- Dr. Ritesh Ranjan Pal
- Dr. Nabanita Deb
@article{chakraborty2023bringing,
title={Bringing Order to Chaos: Conceptualizing a Personal Research
Knowledge Graph for Scientists},
author={Chakraborty, Prantika and Dutta, Sudakshina and Sanyal, Debarshi Kumar and Majumdar, Srijoni and Das, Partha Pratim},
journal={Bulletin of the Technical Committee on Data Engineering},
volume={47},
number={4},
pages={43-56},
year={2023},
publisher={IEEE Computer Society}
}