Pregled bibliografske jedinice broj: 982022
Fuzzy spatio-temporal ontologies and formal construction based on fuzzy Petri nets
Fuzzy spatio-temporal ontologies and formal construction based on fuzzy Petri nets // Computational Intelligence, 35 (2019), 1; 1-36 doi:10.1111/coin.12199 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 982022 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Fuzzy spatio-temporal ontologies and formal construction based on fuzzy Petri nets
Autori
Cheng, Haitao ; Yan, Li ; Ma, Zongmin ; Ribarić, Slobodan
Izvornik
Computational Intelligence (0824-7935) 35
(2019), 1;
1-36
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
construction ; fuzzy Petri nets ; fuzzy spatio-temporal ontologies ; ontologies ; SemanticWeb
Sažetak
Fuzzy spatio-temporal knowledge is required in a wide range of application fields, including GIS, spatio-temporal database, and artificial intelligence. Ontology, as a formal method of knowledge representation, plays a key role in the Semantic Web. Therefore, how to extend ontologies to represent fuzzy spatio-temporal knowledge needs to be solved. In this paper, we propose an approach for representing fuzzy spatio-temporal knowledge with ontologies and investigate a formal construction of fuzzy spatio-temporal ontologies based on fuzzy Petri nets. First, we propose a formal definition of fuzzy spatio temporal ontologies. In addition, based on fuzzy description logic, a description logic named the fuzzy spatio-temporal description logic, which provides a logical basis for the fuzzy spatio- temporal ontologies, is presented. Furthermore, a fuzzy spatiotemporal web ontology language, which is fuzzy and spatio-temporal extension of standard ontology language OWL, is proposed to make the fuzzy spatio-temporal ontologies easy to use and support efficient reasoning. On the basis of fuzzy spatio-temporal ontologies, we investigate a formal approach for constructing fuzzy spatiotemporal ontologies from fuzzy spatio- temporal Petri nets, ie, transforming fuzzy spatio-temporal Petri nets (including Petri net model and Petri net instance) into fuzzy spatio- temporal ontologies at both structure and instance levels. Finally, we prove the correctness of the transformation and provide a detailed transformation example.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
7619 HRZZ
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Slobodan Ribarić
(autor)
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