Ontology-Driven Situation Assessment System Design and Development in IoT Domains

Lebedev, Sergey; Panteleyev, Michail

doi:10.4018/978-1-5225-9866-4.ch067

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…Insemanticmetamining,ontologyasadescriptionlanguageisusedfortherepresentationof theknowledgebase.Ontologyisacomputer-understandabledescriptionlanguage.Ontology-based systemsarewidelyusedinIoTdomain (Fathy,N.,etal. (2019,December); Lebedev,S.,&Panteleyev, M.(2020); Smirnov,A.,etal. (2020); Vodyaho,A.,etal.(2020)).…”

Section: Introductionmentioning

confidence: 98%

A Meta-Mining Ontology Framework for Data Processing

Tianxing

Zhukova

Vodyaho

et al. 2021

International Journal of Embedded and Real-Time Communication Systems

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Extracting knowledge from data streams received from observed objects through data mining is required in various domains. However, there is a lack of any kind of guidance on which techniques can or should be used in which contexts. Meta mining technology can help build processes of data processing based on knowledge models taking into account the specific features of the objects. This paper proposes a meta mining ontology framework that allows selecting algorithms for solving specific data mining tasks and build suitable processes. The proposed ontology is constructed using existing ontologies and is extended with an ontology of data characteristics and task requirements. Different from the existing ontologies, the proposed ontology describes the overall data mining process, used to build data processing processes in various domains, and has low computational complexity compared to others. The authors developed an ontology merging method and a sub-ontology extraction method, which are implemented based on OWL API via extracting and integrating the relevant axioms.

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Section: Introductionmentioning

confidence: 98%

A Meta-Mining Ontology Framework for Data Processing

Tianxing

Zhukova

Vodyaho

et al. 2021

International Journal of Embedded and Real-Time Communication Systems

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“…In 2003, the measured beta function (see Figure 3 and Table 1) disagreed significantly not only from the MAD lattice file, but also from models based on differential orbit measurements [4]. In 2004, however, the results were found to agree to within 20% (see Figure 4 and Table 2).…”

Section: Measurements At 150 Gevmentioning

confidence: 82%

Beta Function Measurement in the Tevatron Using Quadrupole Gradient Modulation

Jansson

Lebrun

Volk

Proceedings of the 2005 Particle Accelerator Conference

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Early in Run2, there was an effort to compare the different emittance measurements in the Tevatron (flying wires and synchrotron light) and understand the origin of the observed differences. To measure the beta function at a few key locations near the instruments, air-core quadrupoles were installed. By modulating the gradient of these magnets and measuring the effect on the tune, the lattice parameters can be extracted. Initially, the results seem to disagree with with other methods. At the time, the lattice was strongly coupled due to a skew component in the main dipoles, caused by sagging of the cryostat. After a large fraction of the superconducting magnets were shimmed to remove a strong skew quadrupole component, the results now agree with the theoretical values to within 20%.

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Ontology-Driven Situation Assessment System Design and Development in IoT Domains

Cited by 2 publications

References 16 publications

A Meta-Mining Ontology Framework for Data Processing

A Meta-Mining Ontology Framework for Data Processing

Beta Function Measurement in the Tevatron Using Quadrupole Gradient Modulation

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