MTab: Matching Tabular Data to Knowledge Graph using Probability Models

2019-10-01 · 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.

📄 PDF Abstract BibTeX arXiv:1910.00246

Code (2)

phucty/MTab 공식 구현

phucty/mtab_tool 공식 구현

Tasks

Entity Typing Graph Matching Named Entity Recognition (NER)Relation ExtractionTable annotation

Results of SemTab 2021

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SemTab 2021 was the third edition of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, successfully collocated with the 20th International Semantic Web Conference (ISWC) and the 16th Ontology Matchi…

Graph Matching Ontology Matching Table annotation

Results of SemTab 2022

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SemTab 2022 was the fourth edition of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, successfully collocated with the 21st International Semantic Web Conference (ISWC) and the 17th Ontology Match…

Cell Entity Annotation Column Type Annotation Graph Matching Ontology Matching

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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 …

Cell Entity Annotation Columns Property Annotation Column Type Annotation Graph Matching

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In this paper, we present our system Kepler-aSI, for the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab 2021). This system is participating for the second time in this campaign, bringing impro…

Cell Entity Annotation Column Type Annotation Graph Matching Knowledge Graphs+1

Towards an Approach based on Knowledge Graph Refinement for Tabular Data to Knowledge Graph Matching

2022-10-25 · SemTab@ISWC 2022 10 · Azanzi Jiomekong, Brice Foko

This paper presents our contribution to the Accuracy Track of Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab). This contribution consists of the proposition of an approach based on knowledge g…

Cell Entity Annotation Column Type Annotation Graph Matching Position