6 citations · 25 across the 12 of their papers we have counts for
6 papers · 1 filter
Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019
Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam +71
One of the grand challenges discussed during the Dagstuhl Seminar "Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web" and described in its report is…
Supervised Ontology and Instance Matching with MELT
Sven Hertling, Jan Portisch, Heiko Paulheim
In this paper, we present MELT-ML, a machine learning extension to the Matching and EvaLuation Toolkit (MELT) which facilitates the application of supervised learning for ontology…
RDF2Vec Light -- A Lightweight Approach for Knowledge Graph Embeddings
Jan Portisch, Michael Hladik, Heiko Paulheim
Knowledge graph embedding approaches represent nodes and edges of graphs as mathematical vectors. Current approaches focus on embedding complete knowledge graphs, i.e. all nodes an…
Challenges of Linking Organizational Information in Open Government Data to Knowledge Graphs
Jan Portisch, Omaima Fallatah, Sebastian Neumaier +2
Open Government Data (OGD) is being published by various public administration organizations around the globe. Within the metadata of OGD data catalogs, the publishing organization…
Visual Analysis of Ontology Matching Results with the MELT Dashboard
Jan Portisch, Sven Hertling, Heiko Paulheim
In this demo, we introduce MELT Dashboard, an interactive Web user interface for ontology alignment evaluation which is created with the existing Matching EvaLuation Toolkit (MELT)…
KGvec2go -- Knowledge Graph Embeddings as a Service
Jan Portisch, Michael Hladik, Heiko Paulheim
In this paper, we present KGvec2go, a Web API for accessing and consuming graph embeddings in a light-weight fashion in downstream applications. Currently, we serve pre-trained emb…