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arXiv · 2309.05681

Knowledge-based Refinement of Scientific Publication Knowledge Graphs

Siwen Yan·Phillip Odom·Sriraam Natarajan
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Abstract

We consider the problem of identifying authorship by posing it as a knowledge graph construction and refinement. To this effect, we model this problem as learning a probabilistic logic model in the presence of human guidance (knowledge-based learning). Specifically, we learn relational regression trees using functional gradient boosting that outputs explainable rules. To incorporate human knowledge, advice in the form of first-order clauses is injected to refine the trees. We demonstrate the usefulness of human knowledge both quantitatively and qualitatively in seven authorship domains.

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Siwen Yan, Phillip Odom, Sriraam Natarajan. 2023-09-10. Knowledge-based Refinement of Scientific Publication Knowledge Graphs. https://arxiv.org/abs/2309.05681

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