Extracting ontological knowledge from Java source code using Hidden Markov Models A Jiomekong, G Camara, M Tchuente Open Computer Science 9 (1), 181-199, 2019 | 25 | 2019 |
Model-driven architecture based software development for epidemiological surveillance systems A Jiomekong, G Camara MEDINFO 2019: Health and Wellbeing e-Networks for All, 531-535, 2019 | 10 | 2019 |
Knowledge extraction from source code based on hidden markov model: Application to EPICAM FJ Azanzi, G Camara 2017 IEEE/ACS 14th International Conference on Computer Systems and …, 2017 | 7 | 2017 |
Towards an Approach Based on Knowledge Graph Refinement for Tabular Data to Knowledge Graph Matching. A Jiomekong, B Foko SemTab@ ISWC, 111-122, 2022 | 6 | 2022 |
A Large Scale Corpus of Food Composition Tables. A Jiomekong, C Etoga, B Foko, M Folefac, S Kana, V Tsague, M Sow, ... SemTab@ ISWC, 34-36, 2022 | 6 | 2022 |
An approach based on open research knowledge graph for knowledge acquisition from scientific papers A Jiomekong, S Tiwari The Electronic Library, 2024 | 5 | 2024 |
Food information engineering: a systematic literature review A Jiomekong Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15441 …, 2023 | 5 | 2023 |
Semantic Annotation of TSOTSATable Dataset. A Jiomekong, U Melie, H Tapamo, G Camara SemTab@ ISWC, 15-20, 2023 | 4 | 2023 |
Combining Scrum and Model Driven Architecture for the development of the EPICAM platform A Jiomekong, H Tapamo, G Camara CARI 2022, 2022 | 4 | 2022 |
Food composition knowledge extraction from scientific literature A Jiomekong, M Folefac, H Tapamo International Conference on Artificial Intelligence: Towards Sustainable …, 2023 | 2 | 2023 |
An approach for knowledge extraction from source code (KNESC) of typed programming languages A Jiomekong, G Camara Trends and Advances in Information Systems and Technologies: Volume 1 6, 122-131, 2018 | 2 | 2018 |
Data collection in a degraded network: case of developing countries or countries in crisis JA Fidèl, B Laurent, H Daniel, T Maurice 6th International Conference on Theory and Practice of Electronic Governance …, 2012 | 2 | 2012 |
TSOTSALearning at LLMs4OL Tasks A and B: Combining Rules to Large Language Model for Ontology Learning CAA Ymele, A Jiomekong Open Conference Proceedings 4, 65-76, 2024 | 1 | 2024 |
Food information engineering A Jiomekong, A Oelen, S Auer, L Anna‐Lena, V Lars AI Magazine 45 (3), 338-353, 2024 | 1 | 2024 |
Linked Open Literature Review using the Neuro-symbolic Open Research Knowledge Graph A Jiomekong, S Auer, A Oelen Companion Proceedings of the ACM on Web Conference 2024, 1015-1018, 2024 | 1 | 2024 |
Exploring Naive Bayes Classifiers for Tabular Data to Knowledge Graph Matching B Foko, A Jiomekong, H Tapamo, J Buisson, S Tiwari Semantic Web Challenge on Tabular Data to Knowledge Graph Matching 2023 3557 …, 2023 | 1 | 2023 |
An Ontology for Tuberculosis Surveillance System A Jiomekong, H Tapamo, G Camara Iberoamerican Knowledge Graphs and Semantic Web Conference, 1-15, 2023 | 1 | 2023 |
Towards an Approach based on Knowledge Graph Refinement for Answer Type prediction A Jiomekong, V Tsague, B Foko, U Melie, G Camara | 1 | 2020 |
Learning Food Composition Knowledge from scientific literature A Jiomekong | | 2023 |
Curating Tabular Datasets using Knowledge Graphs. A Jiomekong, HMT Kenfack, S Tiwari, A Oelen, S Auer SWIoT+ MSW@ KGSWC, 75-82, 2023 | | 2023 |