%0 Generic %1 chen2022contextual %A Chen, Jiaoyan %A He, Yuan %A Jimenez-Ruiz, Ernesto %A Dong, Hang %A Horrocks, Ian %D 2022 %K bert contextual_embedding contextual_representation embedding hierarchical_relation hierarchy krr myown ontology_matching oxford subsumption %T Contextual Semantic Embeddings for Ontology Subsumption Prediction %U http://arxiv.org/abs/2202.09791 %X Automating ontology curation is a crucial task in knowledge engineering. Prediction by machine learning techniques such as semantic embedding is a promising direction, but the relevant research is still preliminary. In this paper, we present a class subsumption prediction method named BERTSubs, which uses the pre-trained language model BERT to compute contextual embeddings of the class labels and customized input templates to incorporate contexts of surrounding classes. The evaluation on two large-scale real-world ontologies has shown its better performance than the state-of-the-art.

@misc{chen2022contextual, abstract = {Automating ontology curation is a crucial task in knowledge engineering. Prediction by machine learning techniques such as semantic embedding is a promising direction, but the relevant research is still preliminary. In this paper, we present a class subsumption prediction method named BERTSubs, which uses the pre-trained language model BERT to compute contextual embeddings of the class labels and customized input templates to incorporate contexts of surrounding classes. The evaluation on two large-scale real-world ontologies has shown its better performance than the state-of-the-art.}, added-at = {2022-02-23T11:24:16.000+0100}, author = {Chen, Jiaoyan and He, Yuan and Jimenez-Ruiz, Ernesto and Dong, Hang and Horrocks, Ian}, biburl = {https://www.bibsonomy.org/bibtex/2f57b34c69223d69bda96ae893a17c893/hangdong}, description = {[2202.09791] Contextual Semantic Embeddings for Ontology Subsumption Prediction}, interhash = {f008c27ce43dee36a762a2726553b300}, intrahash = {f57b34c69223d69bda96ae893a17c893}, keywords = {bert contextual_embedding contextual_representation embedding hierarchical_relation hierarchy krr myown ontology_matching oxford subsumption}, note = {cite arxiv:2202.09791Comment: Short paper (5 pages)}, timestamp = {2022-02-23T11:24:16.000+0100}, title = {Contextual Semantic Embeddings for Ontology Subsumption Prediction}, url = {http://arxiv.org/abs/2202.09791}, year = 2022 }