199 citations · 953 across the 42 of their papers we have counts for
5 papers · 1 filter
Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey
Jiaoyan Chen, Yuxia Geng, Zhuo Chen +5
Machine learning especially deep neural networks have achieved great success but many of them often rely on a number of labeled samples for supervision. As sufficient labeled train…
BERTMap: A BERT-based Ontology Alignment System
Yuan He, Jiaoyan Chen, Denvar Antonyrajah +1
Ontology alignment (a.k.a ontology matching (OM)) plays a critical role in knowledge integration. Owing to the success of machine learning in many domains, it has been applied in O…
On Event-Driven Knowledge Graph Completion in Digital Factories
Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova +4
Smart factories are equipped with machines that can sense their manufacturing environments, interact with each other, and control production processes. Smooth operation of such fac…
Computing CQ lower-bounds over OWL 2 through approximation to RSA
Federico Igne, Stefano Germano, Ian Horrocks
Conjunctive query (CQ) answering over knowledge bases is an important reasoning task. However, with expressive ontology languages such as OWL, query answering is computationally ve…
Knowledge-aware Zero-Shot Learning: Survey and Perspective
Jiaoyan Chen, Yuxia Geng, Zhuo Chen +3
Zero-shot learning (ZSL) which aims at predicting classes that have never appeared during the training using external knowledge (a.k.a. side information) has been widely investigat…