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pro vyhledávání: '"Azanzi Jiomekong"'
The Scholarly Hybrid Question Answering over Linked Data (QALD) Challenge at International Semantic Web Conference (ISWC) 2024 focuses on Question Answering (QA) over diverse scholarly sources: DBLP, SemOpenAlex, and Wikipedia-based texts. This paper
Externí odkaz:
http://arxiv.org/abs/2409.18969
Epidemiological surveillance systems evolve with time, depending on the context and the data already collected. Then, the software used must evolve in order to meet requirements. However, introducing new requirements in order to update the software t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=06cdd3ff4700::232a4bbaa36fa41d3a60d22e89a7f6ea
https://arima.episciences.org/9873
https://arima.episciences.org/9873
Publikováno v:
Open Computer Science, Vol 9, Iss 1, Pp 181-199 (2019)
Ontologies have become a key element since many decades in information systems such as in epidemiological surveillance domain. Building domain ontologies requires the access to domain knowledge owned by domain experts or contained in knowledge source
Autor:
Azanzi Jiomekong, Adamou Hamza
Publikováno v:
International Journal of Advanced Computer Science and Applications. 11
High Performance Computing (HPC) systems aim to solve complex computing problems (in a short amount of time) that are either too large for standard computers or would take too long. They are used to solve computational problems in many fields such as
Autor:
Azanzi, Jiomekong, Gaoussou, Camara
Publikováno v:
Studies in health technology and informatics. 264
Epidemiological surveillance systems enable collection, analysis and dissemination of information on the monitored disease to different stakeholders. It may be done manually or using a software. Given the poor performances of manual systems, the soft
Autor:
Azanzi Jiomekong, Gaoussou Camara
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319777023
WorldCIST (1)
WorldCIST (1)
Knowledge extraction is the discovery of knowledge from structured and/or unstructured sources. This knowledge can be used to build or enrich a domain ontology. Source code is rarely used. But implementation platforms evolve faster than business logi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ed40976e098a3177e351f76479b86f6
https://doi.org/10.1007/978-3-319-77703-0_12
https://doi.org/10.1007/978-3-319-77703-0_12