Papers › MTab: Matching Tabular Data to Knowledge Graph using Probability Models

MTab: Matching Tabular Data to Knowledge Graph using Probability Models

1 Oct 2019arXiv:1910.00246archive 2025-07-28

Phuc Nguyen, Natthawut Kertkeidkachorn, Ryutaro Ichise, Hideaki Takeda

This paper presents the design of our system, namely MTab, for Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab 2019). MTab combines the voting algorithm and the probability models to solve critical problems of the matching tasks. Results on SemTab 2019 show that MTab obtains promising performance for the three matching tasks.

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Entity Typing Graph Matching Named Entity Recognition (NER)Relation Extraction Table annotation

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