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Sasha Petrenko, Daniel B. Hier, Mary A. Bone, Tayo Obafemi-Ajayi, Erik J. Timpson, William E. Marsh, Michael Speight and Donald C. Wunsch II
Biomedical datasets distill many mechanisms of human diseases, linking diseases to genes and phenotypes (signs and symptoms of disease), genetic mutations to altered protein structures, and altered proteins to changes in molecular functions and biologica...
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Marwa Abdelreheim, Taysir Hassan A. Soliman and Friederike Klan
The profusion of existing ontologies in different domains has made reusing ontologies a best practice when developing new ontologies. The ontology reuse process reduces the expensive cost of developing a new ontology, in terms of time and effort, and sup...
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Ignacio J. Tripodi, Lena Schmidt, Brian E. Howard, Deepak Mav and Ruchir Shah
Molecular biology-focused knowledge graphs (KGs) are directed graphs that integrate information from heterogeneous sources of biological and biomedical data, such as ontologies and public databases. They provide a holistic view of biology, chemistry, and...
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Shaimaa Haridy, Rasha M. Ismail, Nagwa Badr and Mohamed Hashem
Ontologies provide a powerful method for representing, reusing, and sharing domain knowledge. They are extensively used in a wide range of disciplines, including artificial intelligence, knowledge engineering, biomedical informatics, and many more. For s...
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Nicola Capuano, Pasquale Foggia, Luca Greco and Pierluigi Ritrovato
In the biomedical field, there is an ever-increasing number of large, fragmented, and isolated data sources stored in databases and ontologies that use heterogeneous formats and poorly integrated schemes. Researchers and healthcare professionals find it ...
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Chamseddine Barki, Hanene Boussi Rahmouni and Salam Labidi
Predicting potential cancer treatment side effects at time of prescription could decrease potential health risks and achieve better patient satisfaction. This paper presents a new approach, founded on evidence-based medical knowledge, using as much infor...
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Jifang Wu, Jianghua Lv, Haoming Guo and Shilong Ma
Ontology Matching (OM) is performed to find semantic correspondences between the entity elements of different ontologies to enable semantic integration, reuse, and interoperability. Representation learning techniques have been introduced to the field of ...
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Rania M. Ghoniem, Nawal Alhelwa and Khaled Shaalan
Ontologies are used to model knowledge in several domains of interest, such as the biomedical domain. Conceptualization is the basic task for ontology building. Concepts are identified, and then they are linked through their semantic relationships. Recen...
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V.V. Baranjuk,V.V. Nechaev,O.S. Krylova
Pág. 59 - 64
The article describes, in terms of the system-integrated approach, the presentation, accumulation, combination and further use of knowledge in the biomedical sphere. The relevance of the elaboration and use of approaches ensuring the pertinence of inform...
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