Application Ontology for Multi-Agent and Web-Services’ Co-Simulation in Power and Energy Systems

Autor: Brigida Teixeira, Gabriel Santos, Tiago Pinto, Zita Vale, Juan M. Corchado

Publikováno v: IEEE Access, Vol 8, Pp 81129-81141 (2020)

Power and energy systems are very complex, and several tools are available to assist operators in their planning and operation. However, these tools do not allow a sensitive analysis of the impact of the interaction between the different sub-domains

Externí odkaz: https://doaj.org/article/2abc2a913d614d3995fbd4c8a055abe6

ATONTE: towards a new methodology for seed ontology development from texts and experts

Autor: RAWSTHORNE, Helen Mair, ABADIE, Nathalie, KERGOSIEN, Eric, DUCHÊNE, Cécile, SAUX, Eric

Publikováno v: CEUR Workshop Proceedings
CEUR Workshop Proceedings, 3256, 2022, Companion Proceedings of the 23rd International Conference on Knowledge Engineering and Knowledge Management
EKAW 2022, 23rd international conference on knowledge engineering and knowledge management
EKAW 2022, 23rd international conference on knowledge engineering and knowledge management, Sep 2022, Bozen-Bolzano, Italy., CEUR Workshop proceedings, 3256, 2022, Companion Proceedings of the 23rd International Conference on Knowledge Engineering and Knowledge Management
23rd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2022)
Oscar Corcho; Laura Hollink,; Oliver Kutz; Nicolas Troquard; Fajar J. Ekaputra. 23rd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2022), Sep 2022, Bozen-Bolzano, Italy. Springer, Lecture Notes in Computer Science, 13514, Knowledge Engineering and Knowledge Management 23rd International Conference, EKAW 2022, Bolzano, Italy, September 26–29, 2022, Proceedings

Publication déjà téléversée dans HAL sous la référéence hal-03954342 ATONTE (ATlantis methodology for ONtology development from Texts and Experts) is a methodology for the manual development of low-level seed ontologies. The modelling process

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::82ad9c0fced826233df9db8b712270b0
https://hal.science/hal-03954342/document

Healthcare Recommender System Based on Medical Specialties, Patient Profiles, and Geospatial Information

Autor: Miguel Torres-Ruiz, Rolando Quintero, Giovanni Guzman, Kwok Tai Chui

Publikováno v: Sustainability; Volume 15; Issue 1; Pages: 499

The global outburst of COVID-19 introduced severe issues concerning the capacity and adoption of healthcare systems and how vulnerable citizen classes might be affected. The pandemic generated the most remarkable transformation of health services, ap

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afa4c37d7650f3cb5075a5505c98a1fa

An Ontology Model for Medical Tourism Supply Chain Knowledge Representation

Autor: Worawit Janchai, Abdelaziz Bouras, Veeraporn Siddoo

This study developed an application ontology related to the medical tourism supply chain domain (MTSC). The motivation for developing an ontology is that current MTSC studies use a descriptive approach to provide knowledge, which is difficult to comp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc4601d69ec299b7cad4508ee6d89141
https://hdl.handle.net/10576/41739

AMAΛΘEIA: A Dish-Driven Ontology in the Food Domain

Autor: Markantonatou, Stella

We present AMAΛΘEIA (AMALTHIA), an application ontology that models the domain of dishes as they are presented in 112 menus collected from restaurants/taverns/patisseries in East Macedonia and Thrace in Northern Greece. AMAΛΘEIA supports a touris

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2659::5ccfd9d795d84882791b62fca41a1716
https://zenodo.org/record/6619437