6 citations · 12 across the 11 of their papers we have counts for
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cs.AI2022
Exploring Wasserstein Distance across Concept Embeddings for Ontology Matching
Yuan An, Alex Kalinowski, Jane Greenberg
Measuring the distance between ontological elements is fundamental for ontology matching. String-based distance metrics are notorious for shallow syntactic matching. In this explor…
cs.AI2022★ 6 cited
Building Open Knowledge Graph for Metal-Organic Frameworks (MOF-KG): Challenges and Case Studies
Yuan An, Jane Greenberg, Xintong Zhao +9
Metal-Organic Frameworks (MOFs) are a class of modular, porous crystalline materials that have great potential to revolutionize applications such as gas storage, molecular separati…