Automatic Knowledge Graph matching via Self-adaptive Designed Genetic Programming
X Xue - Knowledge-Based Systems, 2024 - Elsevier
Abstract Knowledge Graph (KG) provides a structured representation of domain knowledge
by formally defining entities and their relationships. However, distinct communities tend to …
by formally defining entities and their relationships. However, distinct communities tend to …
Gollum: A gold standard for large scale multi source knowledge graph matching
S Hertling, H Paulheim - arXiv preprint arXiv:2209.07479, 2022 - arxiv.org
The number of Knowledge Graphs (KGs) generated with automatic and manual approaches
is constantly growing. For an integrated view and usage, an alignment between these KGs is …
is constantly growing. For an integrated view and usage, an alignment between these KGs is …
Ontology matching through absolute orientation of embedding spaces
J Portisch, G Costa, K Stefani, K Kreplin… - European Semantic …, 2022 - Springer
Ontology matching is a core task when creating interoperable and linked open datasets. In
this paper, we explore a novel structure-based mapping approach which is based on …
this paper, we explore a novel structure-based mapping approach which is based on …
[PDF][PDF] The impact of imbalanced class distribution on knowledge graphs matching.
Abstract Mapping large Knowledge Graphs (KGs) has been a fundamental problem in the
semantic web community. Many state-of-the-art methods are not suitable for matching cross …
semantic web community. Many state-of-the-art methods are not suitable for matching cross …
Ontology Revision based on Pre-trained Language Models
Q Ji, G Qi, Y Ye, J Li, S Li, J Ren, S Lu - arXiv preprint arXiv:2310.18378, 2023 - arxiv.org
Ontology revision aims to seamlessly incorporate new information into an existing ontology
and plays a crucial role in tasks such as ontology evolution, ontology maintenance, and …
and plays a crucial role in tasks such as ontology evolution, ontology maintenance, and …
Wiktionary matcher results for OAEI 2021
J Portisch, H Paulheim - CEUR Workshop …, 2022 - madoc.bib.uni-mannheim.de
This paper presents the results of the Wiktionary Matcher in the Ontology Alignment
Evaluation Initiative (OAEI) 2021. Wiktionary Matcher is an ontology matching tool that …
Evaluation Initiative (OAEI) 2021. Wiktionary Matcher is an ontology matching tool that …
DBkWik++- Multi Source Matching of Knowledge Graphs
S Hertling, H Paulheim - Iberoamerican Knowledge Graphs and Semantic …, 2022 - Springer
Large knowledge graphs like DBpedia and YAGO are always based on the same source, ie,
Wikipedia. But there are more wikis that contain information about long-tail entities such as …
Wikipedia. But there are more wikis that contain information about long-tail entities such as …
Ontology Matching using Textual Class Descriptions
In this paper, we propose TEXTO, a TEXT-based Ontology matching system. This matcher
leverages the rich semantic information of classes available in most ontologies by a …
leverages the rich semantic information of classes available in most ontologies by a …
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 …
how we can enrich an existing knowledge graph with new knowledge. First, we present …
Example Applications Beyond Node Classification
While our running example in this book was node classification, and also the benchmark
datasets discussed above use mostly node classification as a target (with a few exceptions) …
datasets discussed above use mostly node classification as a target (with a few exceptions) …