Background One of the longest running tracks in the Ontology Alignment Evaluation Initiative
is the Anatomy track which focuses on aligning two anatomy ontologies. The Anatomy track …

Simple ontology alignments, largely studied in the literature, link a single entity of a source
ontology to a single entity of a target ontology. A limitation of these alignments is their lack of …

Background Biomedical ontologies pose several challenges to ontology matching due both
to the complexity of the biomedical domain and to the characteristics of the ontologies …

Ontology alignment has become an important process for identifying similarities and
differences between ontologies, to facilitate their integration and reuse. To this end, fuzzy …

A rich biomedical knowledge graph can support the multi-domain data integration necessary
for the application of Artificial Intelligence models in personalised medicine. Constructing …

Data integration tasks such as the creation and extension of knowledge graphs involve the
fusion of heterogeneous entities from many sources. Matching and fusion of such entities …

Ontologies and knowledge bases encode, to a certain extent, the standpoints or
perspectives of their creators. As differences and conflicts between standpoints should be …

Entity alignment plays an essential role in the integration of knowledge graphs (KGs) as it
seeks to identify entities that refer to the same real-world objects across different KGs …