Personal Research Knowledge Graphs
Prantika Chakraborty, Sudakshina Dutta, Debarshi Kumar Sanyal
TL;DR
This paper proposes personal research knowledge graphs (PRKGs) as a structured way to organize and utilize research-related information, enabling personalized assistance and collaboration among researchers.
Contribution
It introduces the concept of PRKGs, discusses potential entities and relations, and explores extraction and sharing methods for research environments.
Findings
Identifies key entities and relations for PRKGs
Proposes extraction techniques from diverse sources
Suggests sharing mechanisms within research groups
Abstract
Maintaining research-related information in an organized manner can be challenging for a researcher. In this paper, we envision personal research knowledge graphs (PRKGs) as a means to represent structured information about the research activities of a researcher. PRKGs can be used to power intelligent personal assistants, and personalize various applications. We explore what entities and relations could be potentially included in a PRKG, how to extract them from various sources, and how to share a PRKG within a research group.
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Taxonomy
TopicsAdvanced Graph Neural Networks · Recommender Systems and Techniques · Topic Modeling