Pregled bibliografske jedinice broj: 1202305
Towards an Open Ontology for Renewable Resource Management in Smart Self-Sustainable Human Settlements
Towards an Open Ontology for Renewable Resource Management in Smart Self-Sustainable Human Settlements // Journal of universal computer science, 28 (2022), 6; 620-647 doi:10.3897/jucs.77793 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1202305 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Towards an Open Ontology for Renewable Resource Management in Smart Self-Sustainable Human Settlements
Autori
Tomičić, Igor ; Schatten, Markus ; Shkarupylo, Vadym
Izvornik
Journal of universal computer science (0948-695X) 28
(2022), 6;
620-647
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
self-sustainability ; metamodeling ; ontology ; sustainable development ; renewable resources ; Internet of things ; human settlements
Sažetak
This paper proposes an open ontology for self-sustainable human settlements in an effort to set the common language for modelling self-sustainable systems and address the issues regarding heterogeneity of physical devices, protocols, software components, data and message formats and other relevant factors, which proved to be unavoidable in implementations of smart systems in the domain of self-sustainability, smart homes, Internet of things, smart energy management systems, demand side systems, and related areas of research and engineering. Although the existing body of research is showing significant results in related, specialized research areas, currently there is no common formal language available which would bring the diversity of such research efforts under a single umbrella and thus enhance and integrate such efforts, which is often pointed out by the researchers in related fields. This paper discuses self-sustainable systems and associated areas, argues the need for the ontology development, presents its scope, development methodology, domain’s architecture and metamodel, and finally the proposed ontology itself, implemented in an open OWL format.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Projekti:
IP-2019-04-5824 - Orkestracija hibridnih metoda umjetne inteligencije za računalne igre (O-HAI 4 Games) (Schatten, Markus, HRZZ - 2019-04) ( CroRIS)
Ustanove:
Fakultet organizacije i informatike, Varaždin
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus