The DLCC node classification benchmark for analyzing knowledge graph embeddings
Abstract Knowledge graph embedding is a representation learning technique that projects
entities and relations in a knowledge graph to continuous vector spaces. Embeddings have …
entities and relations in a knowledge graph to continuous vector spaces. Embeddings have …
Entity type prediction leveraging graph walks and entity descriptions
The entity type information in Knowledge Graphs (KGs) such as DBpedia, Freebase, etc. is
often incomplete due to automated generation or human curation. Entity ty** is the task of …
often incomplete due to automated generation or human curation. Entity ty** is the task of …
Alod2vec matcher results for OAEI 2021
This paper presents the results of the ALOD2vec Matcher in the Ontology Alignment
Evaluation Initiative (OAEI) 2021. The matching system exploits a Web-scale dataset, ie …
Evaluation Initiative (OAEI) 2021. The matching system exploits a Web-scale dataset, ie …
ALOD2Vec matcher results for OAEI 2020
J Portisch, M Hladik… - CEUR Workshop …, 2020 - madoc.bib.uni-mannheim.de
This paper presents the results of the ALOD2Vec Matcher in the Ontology Alignment
Evaluation Initiative (OAEI) 2020. The matching system exploits a Web-scale dataset, ie …
Evaluation Initiative (OAEI) 2020. The matching system exploits a Web-scale dataset, ie …
Automatic detection of relation assertion errors and induction of relation constraints
Although the link prediction problem, where missing relation assertions are predicted, has
been widely researched, error detection did not receive as much attention. In this paper, we …
been widely researched, error detection did not receive as much attention. In this paper, we …
[BOK][B] Exploiting general-purpose background knowledge for automated schema matching
JP Portisch - 2022 - search.proquest.com
The schema matching task is an integral part of the data integration process. It is usually the
first step in integrating data. Schema matching is typically very complex and time …
first step in integrating data. Schema matching is typically very complex and time …
[PDF][PDF] ALOD2Vec Matcher Results for OAEI 2020
H Paulheim - Matching (OM 2020), 2020 - inrialpes.fr
This paper presents the results of the ALOD2Vec Matcher in the Ontology Alignment
Evaluation Initiative (OAEI) 2020. The matching system exploits a Web-scale dataset, ie …
Evaluation Initiative (OAEI) 2020. The matching system exploits a Web-scale dataset, ie …