The knowledge graph track at OAEI: Gold standards, baselines, and the golden hammer bias

S Hertling, H Paulheim - … Web: 17th International Conference, ESWC 2020 …, 2020 - Springer
Abstract The Ontology Alignment Evaluation Initiative (OAEI) is an annual evaluation of
ontology matching tools. In 2018, we have started the Knowledge Graph track, whose goal is …

User validation in ontology alignment: functional assessment and impact

H Li, Z Dragisic, D Faria, V Ivanova… - The Knowledge …, 2019 - cambridge.org
User validation is one of the challenges facing the ontology alignment community, as there
are limits to the quality of the alignments produced by automated alignment algorithms. In …

Dividing the ontology alignment task with semantic embeddings and logic-based modules

E Jiménez-Ruiz, A Agibetov, J Chen, M Samwald… - ECAI 2020, 2020 - ebooks.iospress.nl
Large ontologies still pose serious challenges to state-of-the-art ontology alignment
systems. In this paper we present an approach that combines a neural embedding model …

Supervised ontology and instance matching with MELT

S Hertling, J Portisch, H Paulheim - arXiv preprint arXiv:2009.11102, 2020 - arxiv.org
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 …

Dbkwik: extracting and integrating knowledge from thousands of wikis

S Hertling, H Paulheim - Knowledge and Information Systems, 2020 - Springer
Popular cross-domain knowledge graphs, such as DBpedia and YAGO, are built from
Wikipedia, and therefore similar in coverage. In contrast, Wikifarms like Fandom contain …

POMap++ results for OAEI 2019: fully automated machine learning approach for ontology matching

A Laadhar, F Ghozzi, I Megdiche, F Ravat… - … Workshop on Ontology …, 2019 - hal.science
POMap++ is a novel ontology matching system based on a machine learning approach. This
year is the second participation of POMap++ in the Ontology Alignment Evaluation Initiative …

Towards association rule-based complex ontology alignment

L Zhou, M Cheatham, P Hitzler - … , November 25–27, 2019, Proceedings 9, 2020 - Springer
Ontology alignment has been studied for over a decade, and over that time many alignment
systems have been developed by researchers in order to find simple 1-to-1 equivalence …

The impact of imbalanced training data on local matching learning of ontologies

A Laadhar, F Ghozzi, I Megdiche, F Ravat… - … Conference, BIS 2019 …, 2019 - Springer
Matching learning corresponds to the combination of ontology matching and machine
learning techniques. This strategy has gained increasing attention in recent years. However …

[PDF][PDF] Identifying Mappings among Knowledge Graphs by Formal Concept Analysis.

G Chen, S Zhang - OM@ ISWC, 2019 - ceur-ws.org
Formal Concept Analysis (FCA) is a well-developed mathematical model for clustering
individuals and structuring concepts. In one of our previous studies, we proposed to …

Knowledge Enrichment

U Serles, D Fensel - An Introduction to Knowledge Graphs, 2024 - Springer
Another important quality dimension for knowledge graphs is completeness. We explain
how we can enrich an existing knowledge graph with new knowledge. First, we present …