[HTML][HTML] Explaining protein–protein interactions with knowledge graph-based semantic similarity
The application of artificial intelligence and machine learning methods for several
biomedical applications, such as protein–protein interaction prediction, has gained …
biomedical applications, such as protein–protein interaction prediction, has gained …
Semantic data integration of big biomedical data for supporting personalised medicine
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 …
rate is expected in the next years. Likewise, semantic web technologies have also advanced …
Supervised biomedical semantic similarity
Semantic similarity between concepts in knowledge graphs is essential for several
bioinformatics applications, including the prediction of protein-protein interactions and the …
bioinformatics applications, including the prediction of protein-protein interactions and the …
Neurofuzzy semantic similarity measurement
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 …
has grown in importance recently. Its impact on various computer-related domains and …
Semantic distance spreading across entities in linked open data
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 …
such as the item cold start problem, as well as the problem of explaining the …
[PDF][PDF] Towards Supervised Biomedical Semantic Similarity.
Ontology-based semantic similarity between entities in knowledge graphs is essential for
several bioinformatics applications, including the prediction of protein-protein interactions …
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 …
retrieve and create machine usable knowledge out of it. The creation of integrated …