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 language | English |
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| Title of host publication | Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019 |
| Publisher | IEEE Computer Society |
| Pages | 2135-2136 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781538674741 |
| DOIs | |
| State | Published - Apr 2019 |
| Event | 35th IEEE International Conference on Data Engineering, ICDE 2019 - Macau, China Duration: Apr 8 2019 → Apr 11 2019 |
Publication series
| Name | Proceedings - International Conference on Data Engineering |
|---|---|
| Volume | 2019-April |
| ISSN (Print) | 1084-4627 |
Conference
| Conference | 35th IEEE International Conference on Data Engineering, ICDE 2019 |
|---|---|
| Country/Territory | China |
| City | Macau |
| Period | 04/8/19 → 04/11/19 |
Funding
ACKNOWLEDGEMENT This work was supported by an Okawa Foundation Research Grant and IITP/MSIT research grant (No. 2017-0-01779).
Keywords
- Explainable ai
- Instance alignment