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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Darlan Noetzold, Valderi R. Q. Leithardt & Jorge Luis Victória Barbosa (2025). OntOraculum: A Semantic Ontology for Monitoring and Optimizing Performance Metrics in Smart Environments. SSRN Electronic Journal.
Exportar Referência (IEEE) 
D. Noetzold et al.,  "OntOraculum: A Semantic Ontology for Monitoring and Optimizing Performance Metrics in Smart Environments", in SSRN Electronic Journal, 2025
Exportar BibTeX 
@misc{noetzold2025_1743465530406,
	author = "Darlan Noetzold and Valderi R. Q. Leithardt and Jorge Luis Victória Barbosa",
	title = "OntOraculum: A Semantic Ontology for Monitoring and Optimizing Performance Metrics in Smart Environments",
	year = "2025",
	doi = "10.2139/ssrn.5113513",
	howpublished = "Digital",
	url = "https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5113513"
}
Exportar RIS 
TY  - GEN
TI  - OntOraculum: A Semantic Ontology for Monitoring and Optimizing Performance Metrics in Smart Environments
T2  - SSRN Electronic Journal
AU  - Darlan Noetzold
AU  - Valderi R. Q. Leithardt
AU  - Jorge Luis Victória Barbosa
PY  - 2025
DO  - 10.2139/ssrn.5113513
UR  - https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5113513
AB  - This study presents OntOraculum, an ontology designed to organize and analyze performance metrics in smart environments. It categorizes metrics into Hardware, Network, Software, Energy, and SecurityAndReliability domains, defining properties such as dependencies, impacts, and trends to support predictive analysis and dynamic adjustments. Using Protégé for modeling, SWRL rules for inferences, and SPARQL queries for validation, this ontology addresses questions related to network latency, energy efficiency, security, quality of service, and anomaly detection. By unifying performance metrics across diverse domains, OntOraculum enables comprehensive analysis of dependencies and interactions among metrics. The results demonstrate its practical applicability for monitoring, optimizing, and adapting systems in distributed environments.

Keywords: Ontology, Performance Metrics, energy efficiency, Smart Environment
ER  -