The knowledge graph track at OAEI : Gold standards, baselines, and the golden hammer bias
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
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In: ESWC 2020, Heraklion, Crete, Greece, 31.05.-04.06.2020
- Event
-
Veröffentlichung
- (where)
-
Mannheim
- (who)
-
Universitätsbibliothek Mannheim
- (when)
-
2020
- Creator
- URN
-
urn:nbn:de:bsz:180-madoc-541815
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:50 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Hertling, Sven
- Paulheim, Heiko
- Universitätsbibliothek Mannheim
Time of origin
- 2020
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Browsing Linked Open Data with Auto Complete
Universal preprocessing operators for embedding knowledge graphs with literals
Towards binarization of knowledge graph embeddings for node classification
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FinMatcher at FinSim-2: hypernym detection in the financial services domain using knowledge graphs
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The CaLiGraph ontology as a challenge for OWL reasoners
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More is not always better: The negative impact of A-box materialization on RDF2vec knowledge graph embeddings
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Browsing Linked Open Data with Auto Complete
Universal preprocessing operators for embedding knowledge graphs with literals
Towards binarization of knowledge graph embeddings for node classification
Automatic schema matching utilizing hypernymy relations extracted from the web
FinMatcher at FinSim-2: hypernym detection in the financial services domain using knowledge graphs
KGvec2go – Knowledge graph embeddings as a service
Bias in knowledge graphs - An empirical study with movie recommendation and different language editions of DBpedia
The CaLiGraph ontology as a challenge for OWL reasoners
Evidential relational-graph convolutional networks for entity classification in knowledge graphs
Order matters: Matching multiple knowledge graphs
More is not always better: The negative impact of A-box materialization on RDF2vec knowledge graph embeddings
RDF2Vec: RDF graph embeddings for data mining
Browsing Linked Open Data with Auto Complete
Universal preprocessing operators for embedding knowledge graphs with literals
Towards binarization of knowledge graph embeddings for node classification
Automatic schema matching utilizing hypernymy relations extracted from the web
FinMatcher at FinSim-2: hypernym detection in the financial services domain using knowledge graphs