Ontology Matching: A Machine Learning Approach
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Smart cities require the integration of multiple large and heterogeneous sources of data, for which ML can be a valuable tool, including data matching, data fusion, and ensemble learning.
“Smart cities require the integration of multiple large and heterogeneous sources of data, for which ML can be a valuable tool, which includes data matching [89,190], data fusion [885], and ensemble learning [451].”
From Tackling climate change with machine learning (2023) · cites this paper as [190]
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A Survey on the Explainability of Supervised Machine Learning
Burkart, N., & Huber, M. F. (2021) · Journal of Artificial Intelligence Research · doi:10.1613/jair.1.12228 · Cited by 1,008 · see citing works
Tackling climate change with machine learning
Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., et al. (2023) · ACM Computing Surveys · doi:10.1145/3485128 · Cited by 336 · see citing works
- Authors
- Doan, A., Madhavan, J., Domingos, P., & Halevy, A.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- University of Washington (US)
- Venue
- Handbook on Ontologies
- Publisher
- Springer Berlin Heidelberg
- Published
- 2004
- Pages
- 385-403
- OpenAlex
- W1781737156
- Cited by
- 477
- References
- 34
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 2 · 2023: 4 · 2022: 9 · 2021: 23 · 2020: 9 · 2019: 17 · 2018: 15 · 2017: 18 · 2016: 27 · 2015: 21 · 2014: 22 · 2013: 33 · 2012: 37
- FWCI
- 47.67
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Semantic Web and Ontologies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Biomedical Text Mining and Ontologies
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Keywords
- ontology mapping, semantic mapping, semantic web, ontology interoperability, semi-automatic mapping, knowledge management
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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