Modelling sensor ontology with the SOSA/SSN frameworks: a case study for laboratory parameters

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dc.authorid0000-0001-6415-0698
dc.authorid0000-0002-0759-4433
dc.authorid0000-0001-8323-6366
dc.authorid0000-0002-1661-7166
dc.contributor.authorAktaş, Özlem
dc.contributor.authorMilli, Mehmet
dc.contributor.authorLakestani, Sanaz
dc.contributor.authorMilli, Musa
dc.date.accessioned2021-06-23T19:54:45Z
dc.date.available2021-06-23T19:54:45Z
dc.date.issued2020
dc.departmentBAİBÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractRecently, the use of sensor-based systems in many areas has led to an exponential increase in the raw sensor data. However, the lack of neither syntactic nor semantic integrity between these sensor data limited their sharing, reusability, and interpretation. These inabilities can cause some problems. For example, different wireless sensor networks may not work together due to the subtle variations in their sensing methods, operating systems, syntax, and data structure. In recent years, to cope with these inabilities, the semantic sensor web approach, which enables us to enrich the meaning of sensor data, has been seen as the critical technology in solving these problems by some researchers. The primary purpose of this study is to create a laboratory environment parameters sensor ontology (LEPSO) that provides a standard data model for heterogeneous sensor data from different platforms by expanding semantic sensor networks (SSN). A case study was conducted using the real-time data collected from Bolu Abant izzet Baysal University, Scientific Industrial Technological Application and Research Center in order to demonstrate that the proposed LEPSO can be used in similar sensor-based applications. A series of semantic queries have been performed on the collected sensor data to evaluate the proposed sensor ontology. The results showed that sensor data, which are heterogeneous by nature, provide benefit results in sensor-based monitoring systems when enriched with semantic web technologies and ontologies. Besides, this study proves that the proposed semantic sensor ontology, which used the semantic sensor network framework, has the capability to provide a common infrastructure for many sensor-based applications. The proposed ontology has the potential to become a more comprehensive ontology by adding different platforms, different sensors, different environments such as school, factory. In the next study, it is aimed to expand the scope of this semantic sensor network, which is formed by including this ontology in the intensive care unit of a hospital.en_US
dc.identifier.doi10.3906/elk-1912-160
dc.identifier.endpage2585en_US
dc.identifier.issn1300-0632
dc.identifier.issn1303-6203
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-85095728592en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage2566en_US
dc.identifier.trdizinid513901en_US
dc.identifier.urihttps://journals.tubitak.gov.tr/elektrik/issues/elk-20-28-5/elk-28-5-14-1912-160.pdf
dc.identifier.urihttps://hdl.handle.net/20.500.12491/10635
dc.identifier.volume28en_US
dc.identifier.wosWOS:000576688100001en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.institutionauthorMilli, Mehmet
dc.institutionauthorLakestani, Sanaz
dc.language.isoenen_US
dc.publisherTubitak Scientific & Technical Research Council Turkeyen_US
dc.relation.ispartofTurkish Journal Of Electrical Engineering And Computer Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectSemantic Sensor Networken_US
dc.subjectOntology Modelingen_US
dc.subjectStream Dataen_US
dc.subjectReal-time Monitoringen_US
dc.subjectHeterogeneous Sensor Dataen_US
dc.titleModelling sensor ontology with the SOSA/SSN frameworks: a case study for laboratory parametersen_US
dc.typeArticleen_US

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