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