Semi-supervised entity alignment via joint knowledge embedding model and cross-graph model
Entity alignment aims at integrating complementary knowledge graphs (KGs) from different sources or languages, which may benefit many knowledge-driven applications. It is challenging due to the heterogeneity of KGs and limited seed alignments. In this paper, we propose a semi-supervised entity align...
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| Main Authors: | , , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2019
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/7458 https://ink.library.smu.edu.sg/context/sis_research/article/8461/viewcontent/D19_1274.pdf |
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| Institution: | Singapore Management University |
| Language: | English |