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9 days ago

KGCODE-Tab Results for SemTab 2022

{Tianyu Hong and Peng Wang, Chenghuan Jiang, Gongrui Zhang, Wei Zhou, Shuxin Wang, Xinhe Li}
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KGCODE-Tab Results for SemTab 2022
Abstract

This paper presents the results of KGCODE-Tab in the tabular data to knowledge graph matching contest SemTab 2022. As an efficient tabular data linking system, KGCODE-Tab is intended to participate in three tasks of the content: Column Type Annotation (CTA), Cell Entity Annotation (CEA), and Columns Property Annotation (CPA). The specific techniques used by KGCODE-Tab will be introduced briefly. The strengths and weaknesses of KGCODE-Tab will also be discussed.