Publication: Toward Measuring the Resemblance of Embedding Models for Evolving Ontologies
Toward Measuring the Resemblance of Embedding Models for Evolving Ontologies
Date
Date
Date
Citations
Pernisch, R., Dell’Aglio, D., & Bernstein, A. (2021). Toward Measuring the Resemblance of Embedding Models for Evolving Ontologies. In A. L. Gentile (Ed.), K-CAP ’21: Proceedings of the 11th on Knowledge Capture Conference (pp. 177–184). ACM. https://doi.org/10.1145/3460210.3493540
Abstract
Abstract
Abstract
Updates on ontologies affect the operations built on top of them. But not all changes are equal: some updates drastically change the result of operations; others lead to minor variations, if any. Hence, estimating the impact of a change ex-ante is highly important, as it might make ontology engineers aware of the consequences of their action during editing. However, in order to estimate the impact of changes, we need to understand how to measure them.
To address this gap for embeddings, we propose a new measure called Embedding Resem
Metrics
Downloads
Views
Additional indexing
Creators (Authors)
- Dell'Aglio, Daniele
Editors
Title of Book
Title of Book
Title of Book
Place of Publication
Place of Publication
Place of Publication
Page range/Item number
Page range/Item number
Page range/Item number
Page end
Page end
Page end
Item Type
Item Type
Item Type
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Language
Language
Language
Publication date
Publication date
Publication date
Date available
Date available
Date available
ISBN or e-ISBN
ISBN or e-ISBN
ISBN or e-ISBN
OA Status
OA Status
OA Status
Free Access at
Free Access at
Free Access at
Publisher DOI
Other Identification Number
Other Identification Number
Other Identification Number
Metrics
Downloads
Views
Citations
Pernisch, R., Dell’Aglio, D., & Bernstein, A. (2021). Toward Measuring the Resemblance of Embedding Models for Evolving Ontologies. In A. L. Gentile (Ed.), K-CAP ’21: Proceedings of the 11th on Knowledge Capture Conference (pp. 177–184). ACM. https://doi.org/10.1145/3460210.3493540
