XINA: Explainable instance alignment using dominance relationship (Extended Abstract)

Jinyoung Yeo, Haeju Park, Sanghoon Lee, Eric Wonhee Lee, Seung Won Hwang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this extended abstract, we present an instance alignment framework, namely XINA, for KB integration. We then show its effectiveness and efficiency on real-world KBs.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019
PublisherIEEE Computer Society
Pages2135-2136
Number of pages2
ISBN (Electronic)9781538674741
DOIs
StatePublished - Apr 2019
Externally publishedYes
Event35th IEEE International Conference on Data Engineering, ICDE 2019 - Macau, China
Duration: Apr 8 2019Apr 11 2019

Publication series

NameProceedings - International Conference on Data Engineering
Volume2019-April
ISSN (Print)1084-4627

Conference

Conference35th IEEE International Conference on Data Engineering, ICDE 2019
Country/TerritoryChina
CityMacau
Period04/8/1904/11/19

Funding

ACKNOWLEDGEMENT This work was supported by an Okawa Foundation Research Grant and IITP/MSIT research grant (No. 2017-0-01779).

FundersFunder number
IITP/MSIT2017-0-01779
Okawa Foundation for Information and Telecommunications

    Keywords

    • Explainable ai
    • Instance alignment

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