Toward Measuring the Resemblance of Embedding Models for Evolving Ontologies

Romana Pernisch, Daniele Dell'Aglio, Abraham Bernstein

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	Proceedings of the 11th on Knowledge Capture Conference
Place of Publication	Virtual Event USA
Publisher	Association for Computing Machinery (ACM)
Pages	177-184
Number of pages	8
ISBN (Print)	978-1-4503-8457-5
DOIs	https://doi.org/10.1145/3460210.3493540
State	Published - Dec 1 2021
Externally published	Yes

Access to Document

DL: ICAI Discovery Lab
van Harmelen, F. (CoPI), De Rijke, M. (CoI), Siebert, M. (CoI), Hoekstra, R. (CoPI), Tsatsaronis, G. (CoPI), Groth, P. (CoPI), Cochez, M. (CoI), Pernisch, R. (CoI), Alivanistos, D. (CoI), Mansoury, M. (CoI), van Hoof, H. (CoI), Pal, V. (CoI), Pijnenburg, T. (CoI), Mitra, P. (CoI), Bey, T. (CoI) & de Waard, A. (CoPI)
10/1/19 → 03/31/25
Project: Research

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Toward Measuring the Resemblance of Embedding Models for Evolving Ontologies. / Pernisch, Romana; Dell'Aglio, Daniele; Bernstein, Abraham.
Proceedings of the 11th on Knowledge Capture Conference. Virtual Event USA: Association for Computing Machinery (ACM), 2021. p. 177-184.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Toward Measuring the Resemblance of Embedding Models for Evolving Ontologies

AU - Pernisch, Romana

AU - Dell'Aglio, Daniele

AU - Bernstein, Abraham

PY - 2021/12/1

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BT - Proceedings of the 11th on Knowledge Capture Conference

PB - Association for Computing Machinery (ACM)

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