Ontology Matching Through Absolute Orientation of Embedding Spaces
SAP SE（SAP思爱普公司）；University of Mannheim（曼海姆大学）
英文摘要：
Ontology matching is a core task when creating interoperable and linked open datasets. In this paper, we explore a novel structure-based mapping approach which is based on knowledge graph embeddings: The ontologies to be matched are embedded, and an approach known as absolute orientation is used to align the two embedding spaces. Next to the approach, the paper presents a first, preliminary evaluation using synthetic and real-world datasets. We find in experiments with synthetic data, that the approach works very well on similarly structured graphs; it handles alignment noise better than size and structural differences in the ontologies.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
