Subsumption Prediction for E-Commerce Taxonomies

Author:

Shi Jingchuan,Chen Jiaoyan,Dong Hang,Khan Ishita,Liang Lizzie,Zhou Qunzhi,Wu Zhe,Horrocks Ian

Publisher

Springer Nature Switzerland

Reference39 articles.

1. Baltrušaitis, T., Ahuja, C., Morency, L.P.: Multimodal machine learning: a survey and taxonomy. IEEE Trans. Pattern Anal. Mach. Intell. 41(2), 423–443 (2018)

2. Bechhofer, S.: OWL web ontology language reference, W3C recommendation (2004). http://www.w3.org/TR/owl-ref/

3. Bordes, A., Usunier, N., Garcia-Duran, A., Weston, J., Yakhnenko, O.: Translating embeddings for modeling multi-relational data. In: Advances in Neural Information Processing Systems, vol. 26 (2013)

4. Centelles, M.: Taxonomies for categorization and organization in web sites. Hipertext.net (3) (2005). https://www.upf.edu/hipertextnet/en/numero-3/taxonomias.html

5. Chen, J., He, Y., Jimenez-Ruiz, E., Dong, H., Horrocks, I.: Contextual semantic embeddings for ontology subsumption prediction. arXiv preprint arXiv:2202.09791 (2022)

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1. OLaLa: Ontology Matching with Large Language Models;Proceedings of the 12th Knowledge Capture Conference 2023;2023-12-05

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