9 citations · 26 across the 10 of their papers we have counts for
10 papers
Improving Interoperability among Defence and National Security Ontologies: Analysis and Evaluation Tasks
Jonathon Dilworth, Pedro Giesteira Cotovio, David Herron +4
The use of ontologies and knowledge graphs is becoming increasingly widespread in the defence and national security domain. Numerous ontologies have been developed through initiati…
CMOMgen: Complex Multi-Ontology Alignment via Pattern-Guided In-Context Learning
Marta Contreiras Silva, Daniel Faria, Catia Pesquita
Constructing comprehensive knowledge graphs requires the use of multiple ontologies in order to fully contextualize data into a domain. Ontology matching finds equivalences between…
What can knowledge graph alignment gain with Neuro-Symbolic learning approaches?
Pedro Giesteira Cotovio, Ernesto Jimenez-Ruiz, Catia Pesquita
Knowledge Graphs (KG) are the backbone of many data-intensive applications since they can represent data coupled with its meaning and context. Aligning KGs across different domains…
Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities
Jiaoyan Chen, Hang Dong, Janna Hastings +6
The term life sciences refers to the disciplines that study living organisms and life processes, and include chemistry, biology, medicine, and a range of other related disciplines.…
Biomedical Knowledge Graph Embeddings with Negative Statements
Rita T. Sousa, Sara Silva, Heiko Paulheim +1
A knowledge graph is a powerful representation of real-world entities and their relations. The vast majority of these relations are defined as positive statements, but the importan…
Benchmark datasets for biomedical knowledge graphs with negative statements
Rita T. Sousa, Sara Silva, Catia Pesquita
Knowledge graphs represent facts about real-world entities. Most of these facts are defined as positive statements. The negative statements are scarce but highly relevant under the…
Explainable Representations for Relation Prediction in Knowledge Graphs
Rita T. Sousa, Sara Silva, Catia Pesquita
Knowledge graphs represent real-world entities and their relations in a semantically-rich structure supported by ontologies. Exploring this data with machine learning methods often…
Predicting Gene-Disease Associations with Knowledge Graph Embeddings over Multiple Ontologies
Susana Nunes, Rita T. Sousa, Catia Pesquita
Ontology-based approaches for predicting gene-disease associations include the more classical semantic similarity methods and more recently knowledge graph embeddings. While semant…
Ontology alignment repair through modularization and confidence-based heuristics
Emanuel Santos, Daniel Faria, Cátia Pesquita +1
Ontology Matching aims to find a set of semantic correspondences, called an alignment, between related ontologies. In recent years, there has been a growing interest in efficient a…
Testing the AgreementMaker System in the Anatomy Task of OAEI 2012
Daniel Faria, Catia Pesquita, Emanuel Santos +3
The AgreementMaker system was the leading system in the anatomy task of the Ontology Alignment Evaluation Initiative (OAEI) competition in 2011. While AgreementMaker did not compet…