Research output per year
Research output per year
Personal profile
Research Overview
Professor Hoehndorf is interested in biomedical ontology, knowledge representation, semantic integration, semantic interoperability and phenotype informatics.
Key Research Areas
Functional Biology, Computational Bioscience, Computer Science, Machine Learning
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education
Computer Science, Ph.D., Leipzig University
2009
Award Date: Jan 1 2009
Computer Science, Diploma, Leipzig University
2005
Award Date: Jan 1 2005
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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From Axioms over Graphs to Vectors, and Back Again: Evaluating the Properties of Graph-based Ontology Embeddings
Zhapa-Camacho, F. & Hoehndorf, R., May 2023, 17th International Workshop on Neural-Symbolic Learning and Reasoning, NeSy 2023. CEUR-WS, p. 85-102 18 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Improving the classification of cardinality phenotypes using collections.
Alghamdi, S. M. & Hoehndorf, R., Aug 7 2023, In: Journal of biomedical semantics. 14, 1Research output: Contribution to journal › Article › peer-review
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Updating the CEMO ontology for future epidemiological challenges
Queralt-Rosinach, N., Schofield, P. N., Roos, M. & Hoehndorf, R., Jan 1 2023, 14th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, SWAT4HCLS 2023. CEUR-WS, p. 151-152 2 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A comprehensive update on CIDO: the community-based coronavirus infectious disease ontology.
He, Y., Yu, H., Huffman, A., Lin, A. Y., Natale, D. A., Beverley, J., Zheng, L., Perl, Y., Wang, Z., Liu, Y., Ong, E., Wang, Y., Huang, P., Tran, L., Du, J., Shah, Z., Shah, E., Desai, R., Huang, H-H., Tian, Y., & 23 others, Oct 21 2022, In: Journal of biomedical semantics. 13, 1Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
DeepGOZero: improving protein function prediction from sequence and zero-shot learning based on ontology axioms
Kulmanov, M. & Hoehndorf, R., Jun 27 2022, In: Bioinformatics (Oxford, England). 38, Supplement_1, p. i238-i245Research output: Contribution to journal › Article › peer-review
5 Scopus citations -
Klarigi: Characteristic explanations for semantic biomedical data
Slater, L. T., Williams, J. A., Schofield, P. N., Russell, S., Pendleton, S. C., Karwath, A., Fanning, H., Ball, S., Hoehndorf, R. & Gkoutos, G., Dec 22 2022, In: Computers in Biology and Medicine. p. 106425Research output: Contribution to journal › Article › peer-review
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Using SPARQL to unify queries over data, ontologies, and machine learning models in the PhenomeBrowser knowledgebase
Syed, A. R., Kafkas, S., Kulmanov, M. & Hoehndorf, R., Jan 1 2022, 13th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, SWAT4HCLS 2022. CEUR-WS, p. 97-102 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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DeepGOWeb: fast and accurate protein function prediction on the (Semantic) Web
Kulmanov, M., Zhapa-Camacho, F. & Hoehndorf, R., May 21 2021, In: Nucleic Acids Research.Research output: Contribution to journal › Article › peer-review
4 Scopus citations
Prizes
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PhD fellowship
Hoehndorf, Robert (Recipient), 2005
Prize: Award or Honor › Early Career or Student Award
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Shared first prize in Disease and Phenotype track at the Ontology Alignment Evaluation Initiative
Hoehndorf, Robert (Recipient), 2016
Prize: Award or Honor › Excellence Award
Press/Media
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King Abdullah University of Science and Technology (KAUST) Researchers Illuminate Research in Bioinformatics (Starvar: symptom-based tool for automatic ranking of variants using evidence from literature and genomes)
Robert Hoehndorf & Azza Althagafi
08/4/23
1 item of Media coverage
Press/Media: Press / Media
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King Abdullah University of Science and Technology (KAUST) Reports Findings in Bioinformatics (mOWL: Python library for machine learning with biomedical ontologies)
Robert Hoehndorf, Maxat Kulmanov & Fernando Zhapa Camacho
01/3/23
1 item of Media coverage
Press/Media: Press / Media
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Using AI and 3D-modeling, this ‘rapid response’ team is fighting Covid in Saudi Arabia and beyond
Xin Gao, Charlotte Hauser, Pierre Magistretti, Robert Hoehndorf, Ivan Viola, Arnab Pain, Stefan Arold & Sahika Inal
02/8/21
1 item of Media coverage
Press/Media: Press / Media
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Novel artificial intelligence system reveals genes that drive tumor growth
01/21/20
1 item of Media coverage
Press/Media: Press / Media
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Algorithm turns cancer gene discovery on its head
01/20/20
1 item of Media coverage
Press/Media: Press / Media
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Symbol of change for AI development
Robert Hoehndorf & Maxat Kulmanov
10/21/19
1 item of Media coverage
Press/Media: Press / Media
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KAUST and KACST join forces to prevent infectious diseases
Mohammed Alarawi & Robert Hoehndorf
09/30/18
1 item of Media coverage
Press/Media: Press / Media
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New tool uses genetic and clinical informatio...
04/26/17
1 item of Media coverage
Press/Media: Press / Media