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20242026
most citedData Augmentation Techniques for Process Extraction from Scientific Publications

2 citations · 3 across the 13 of their papers we have counts for

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cs.DL2026

The zbMATH Open Knowledge Graph: Tracing Centuries of Mathematical Research

Yuni Susanti, Moritz Schubotz

We present the zbMATH Open Knowledge Graph, a large-scale RDF knowledge graph (KG) covering more than 250 years of mathematical scholarship. Unlike existing scholarly knowledge gra…

cs.IR2026

Graph-Based Discovery of Mathematical Software Communities and Publication-to-Community Prediction

Maxence Azzouz-Thuderoz, Yuni Susanti, Moritz Schubotz

Research software forms distinct co-usage communities that span traditional disciplinary boundaries, yet the structure of these communities remains largely unexplored. We present a…

cs.IR2026

Syntax Meets Semantics: Understanding Scientific Formulae

Yuni Susanti, Moritz Schubotz

Scientific formulae are a fundamental component of scholarly communication, yet their dual nature -- as structured syntax and carriers of semantics -- remains underexplored in scho…

cs.DL2026

SemRepo: A Knowledge Graph for Research Software and Its Scholarly Ecosystem

Abdul Rafay, Yuni Susanti, David Lamprecht +1

We present SemRepo, an RDF knowledge graph comprising over 81 million triples describing nearly 200,000 GitHub repositories associated with scientific research. SemRepo captures re…

cs.IR2026

Do We Need Bigger Models for Science? Task-Aware Retrieval with Small Language Models

Florian Kelber, Matthias Jobst, Yuni Susanti +1

Scientific knowledge discovery increasingly relies on large language models, yet many existing scholarly assistants depend on proprietary systems with tens or hundreds of billions…