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The Cartographer
MTab: Matching Tabular Data to Knowledge Graph using Probability Models
October 01, 2019 Β· Declared Dead Β· π SemTab@ISWC
"No code URL or promise found in abstract"
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Authors
Phuc Nguyen, Natthawut Kertkeidkachorn, Ryutaro Ichise, Hideaki Takeda
arXiv ID
1910.00246
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.DB
Citations
48
Venue
SemTab@ISWC
Last Checked
4 months ago
Abstract
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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