The entity type information in Knowledge Graphs (KGs) such as DBpedia,
F...
Knowledge graph embedding is a representation learning technique that
pr...
One of the strongest signals for automated matching of knowledge graphs ...
Ontology matching is a core task when creating interoperable and linked ...
RDF2vec is a knowledge graph embedding mechanism which first extracts
se...
One of the strongest signals for automated matching of ontologies and
kn...
The RDF2vec method for creating node embeddings on knowledge graphs is b...
The use of external background knowledge can be beneficial for the task ...
This paper presents the FinMatcher system and its results for the FinSim...
One of the grand challenges discussed during the Dagstuhl Seminar "Knowl...
In this paper, we present MELT-ML, a machine learning extension to the
M...
Knowledge graph embedding approaches represent nodes and edges of graphs...
Open Government Data (OGD) is being published by various public
administ...
In this demo, we introduce MELT Dashboard, an interactive Web user inter...
In this paper, we present KGvec2go, a Web API for accessing and consumin...