Exploiting an Ontological Model to Study COVID-19 Contagion Chains in Sustainable Smart Cities

Martínez, Nemury Silega; Varén, Eliani; Varén, Alfredo; Rogozov, Yuri; Lapshin, Vyacheslav S.; Alekseevich, Skolupin A.

doi:10.3390/info13010040

Cited by 4 publications

(3 citation statements)

References 31 publications

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“…Firstly, these tools build upon the existing ontology to offer a more sophisticated layer of abstraction for data representation. Specifically, the incorporation of taxonomies, classifications, and metadata enhances the semantic depth of the data, thereby streamlining the search, retrieval, and interpretation processes [97,105,107,114,115].…”

Section: Integration Of Knowledge Management Toolsmentioning

confidence: 99%

Interoperability-Enhanced Knowledge Management in Law Enforcement: An Integrated Data-Driven Forensic Ontological Approach to Crime Scene Analysis

Spyropoulos,

Bratsas,

Makris

et al. 2023

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Nowadays, more and more sciences are involved in strengthening the work of law enforcement authorities. Scientific documentation is evidence highly respected by the courts in administering justice. As the involvement of science in solving crimes increases, so does human subjectivism, which often leads to wrong conclusions and, consequently, to bad judgments. From the above arises the need to create a single information system that will be fed with scientific evidence such as fingerprints, genetic material, digital data, forensic photographs, information from the forensic report, etc., and also investigative data such as information from witnesses’ statements, the apology of the accused, etc., from various crime scenes that will be able, through formal reasoning procedure, to conclude possible perpetrators. The present study examines a proposal for developing an information system that can be a basis for creating a forensic ontology—a semantic representation of the crime scene—through descriptive logic in the owl semantic language. The Interoperability-Enhanced information system to be developed could assist law enforcement authorities in solving crimes. At the same time, it would promote closer cooperation between academia, civil society, and state institutions by fostering a culture of engagement for the common good.

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Section: Integration Of Knowledge Management Toolsmentioning

confidence: 99%

Interoperability-Enhanced Knowledge Management in Law Enforcement: An Integrated Data-Driven Forensic Ontological Approach to Crime Scene Analysis

Spyropoulos,

Bratsas,

Makris

et al. 2023

Information

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show abstract

“…Related to the first scenario, different methods to integrate ontologies with relational databases have been developed. Likewise, an ontology focused mainly on analyzing the contagion chain was developed [28]. This ontology includes specifications to track the contagion chains and provide interesting insights for the experts in order to know better this disease.…”

Section: F Combining Ontologies and Relational Databasesmentioning

confidence: 99%

“…3. Hierarchy of the class Contagion_Chain [28] These ontologies are focused on the domain side, but they can be used are an artefact to develop a software. For example, an ontology-based method was developed to assist the specialists in the banking domain [29].…”

Section: F Combining Ontologies and Relational Databasesmentioning

confidence: 99%

Towards a Software Development Process Based on Ontologies

Nemury¹,

Rogozov²,

Lapshin³

2023

Proceedings of X All-Russian Scientific Conference &Amp;quot;System Synthesis and Applied Synergetics"

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The relevance and complexity of software are growing more and more. Hence, it is necessary to create and apply new approaches that contribute to deal with the complexity of software development process. Ensuring the consistency and traceability of the software artefacts are two of the challenges that software engineers face during the development of a complex software. On the other hand, the ontologies are one of the main technologies of the semantic web for representing knowledge. Adopting ontologies to support the modelling and validation in software development projects is a feasible alternative that has been widely discussed. Therefore, this paper aims to analyze some ontology-based approaches which address some of the gaps that can be faced during software development projects. For example, the lack of consistency and traceability of software artefacts.

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