[HTML][HTML] Explaining protein–protein interactions with knowledge graph-based semantic similarity

RT Sousa, S Silva, C Pesquita - Computers in Biology and Medicine, 2024 - Elsevier
The application of artificial intelligence and machine learning methods for several
biomedical applications, such as protein–protein interaction prediction, has gained …

Semantic data integration of big biomedical data for supporting personalised medicine

ME Vidal, KM Endris, S Jozashoori, F Karim… - Current Trends in …, 2019 - Springer
Big biomedical data has grown exponentially during the last decades and a similar growth
rate is expected in the next years. Likewise, semantic web technologies have also advanced …

Supervised biomedical semantic similarity

RT Sousa, S Silva, C Pesquita - IEEE Access, 2023 - ieeexplore.ieee.org
Semantic similarity between concepts in knowledge graphs is essential for several
bioinformatics applications, including the prediction of protein-protein interactions and the …

Neurofuzzy semantic similarity measurement

J Martinez-Gil, R Mokadem, J Küng… - Data & Knowledge …, 2023 - Elsevier
Automatically identifying the degree of semantic similarity between two small pieces of text
has grown in importance recently. Its impact on various computer-related domains and …

Semantic distance spreading across entities in linked open data

S Alfarhood, S Gauch, K Labille - Information, 2019 - mdpi.com
Recommender systems can utilize Linked Open Data (LOD) to overcome some challenges,
such as the item cold start problem, as well as the problem of explaining the …

[PDF][PDF] Towards Supervised Biomedical Semantic Similarity.

RT Sousa, S Silva, C Pesquita - SeWeBMeDA@ ESWC, 2022 - ceur-ws.org
Ontology-based semantic similarity between entities in knowledge graphs is essential for
several bioinformatics applications, including the prediction of protein-protein interactions …

Strategies and Techniques for Federated Semantic Knowledge Retrieval and Integration

D Collarana Vargas - 2019 - bonndoc.ulb.uni-bonn.de
The vast amount of data shared on the Web requires effective and efficient techniques to
retrieve and create machine usable knowledge out of it. The creation of integrated …