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Journal articles on the topic 'Ontological Data Model'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Castro, Alfonso, Victor A. Villagra, Paula Garcia, Diego Rivera, and David Toledo. "An Ontological-Based Model to Data Governance for Big Data." IEEE Access 9 (2021): 109943–59. http://dx.doi.org/10.1109/access.2021.3101938.

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Rivero, Carlos R., Inma Hernández, David Ruiz, and Rafael Cochuelo. "Discovering and Analysing Ontological Models From Big RDF Data." Journal of Database Management 26, no. 2 (2015): 48–61. http://dx.doi.org/10.4018/jdm.2015040104.

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We are witnessing an increasing popularity of the Web of Data, which exposes a large variety of web sources that provide their data using RDF. Ontological models are used as the schema to organize this data. These models are usually shared by several communities and, to devise them, there is usually an agreement amongst those communities. As a result, it is common to have more than one ontological model to understand some RDF data; therefore, there might be a gap between the ontological models and the RDF data, which is not negligible in practice. In this article, the authors present a techniq

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Vaganov, Danila, Egor Shikov, Anton Lysenko, and Polina Andreeva. "Ontological model identification based on data from heterogeneous sources." Procedia Computer Science 229 (2023): 305–14. http://dx.doi.org/10.1016/j.procs.2023.12.032.

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Nasim, Khozouie, Fotouhi-Ghazvini Faranak, and Minaei-Bidgoli Behrouz. "Ontological MobiHealth System." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 1 (2018): 309–19. https://doi.org/10.11591/ijeecs.v10.i1.pp309-319.

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MobiHealth systems are tele-monitoring systems based on BAN (Body Area Network) and mobile health care (m-health) service platform utilizing next generation public wireless networks. Smart phone applications have selfmonitoring and sensing capabilities and are used in health interventions and disease prevention. In this study, a prototype mobile sensing platform was introduced for m-Health and telemedicine applications, which medical sensors on patient body reports biological signals and environmental sensors send environment raw data to base station (smart phone). Then raw data were preproces

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Globa, Larysa, Nataliia Gvozdetska, and Rina Novogrudska. "Ontological model for data processing organization in information and communication networks." System research and information technologies, no. 1 (July 11, 2021): 47–60. http://dx.doi.org/10.20535/srit.2308-8893.2021.1.04.

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The functioning of modern information and communication networks is impossible without data processing. With the emergence of new network services, the amount of information that needs to be processed increases, while the requirements to the data processing quality become more and more stringent. Therefore, the problem of designing and maintaining a scalable data processing system with a flexible quality of service management is becoming more and more important for a network operator. Such data processing systems have a complex internal structure with many interrelated parameters, which makes

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Mahmood, Nadeem, S. M. Aqil Burney, and Kamran Ahsan. "Generic Temporal and Fuzzy Ontological Framework (GTFOF) for Developing Temporal-Fuzzy Database Model for Managing Patient's Data." JUCS - Journal of Universal Computer Science 18, no. (2) (2012): 177–93. https://doi.org/10.3217/jucs-018-02-0177.

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A generic temporal and fuzzy ontological framework (GTFOF) is presented, specific to the task of designing temporal and fuzzy database system. The framework includes both time and fuzzy dimension in deigning patient information system in a hospital environment. The proposed framework is essential for developing knowledge management systems (KMS) in healthcare environments. The importance of ontological models in the development of patient information system is well established and it provides the logical and formal mechanism for building KMS. Healthcare information systems may include complex

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García-Castro, Raúl, Oscar Corcho, and Chris Hill. "A Core Ontological Model for Semantic Sensor Web Infrastructures." International Journal on Semantic Web and Information Systems 8, no. 1 (2012): 22–42. http://dx.doi.org/10.4018/jswis.2012010102.

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Semantic Sensor Web infrastructures use ontology-based models to represent the data that they manage; however, up to now, these ontological models do not allow representing all the characteristics of distributed, heterogeneous, and web-accessible sensor data. This paper describes a core ontological model for Semantic Sensor Web infrastructures that covers these characteristics and that has been built with a focus on reusability. This ontological model is composed of different modules that deal, on the one hand, with infrastructure data and, on the other hand, with data from a specific domain,

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Vlasenko, Lidiia, Nataliia Lutska, Tetiana Savchenko, and Oleksandr Bohdanov. "ONTOLOGICAL MODELING OF INFORMATION DATA OF DIGITAL CRIMINAL CRIME." Cybersecurity: Education, Science, Technique 1, no. 21 (2023): 211–22. http://dx.doi.org/10.28925/2663-4023.2023.21.211222.

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In the article, an ontological model of information data of a digital criminal offense is formed and researched. Ontological modeling made it possible to conceptualize knowledge and effectively overcome the problems of insufficient structure, ambiguity and inconsistency of data and knowledge in the field of digital forensics. On the basis of the conducted classification, five main classes (Digital Crime, Digital Traces, Types of Crimes, Criminal and Criminal Liability) were identified, which include multiple user and non-user instances, including relevant articles of the Criminal Code of Ukrai

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Khozouie, Nasim, Faranak Fotouhi-Ghazvini, and Behrouz Minaei-Bidgoli. "Ontological MobiHealth System." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 1 (2018): 309. http://dx.doi.org/10.11591/ijeecs.v10.i1.pp309-319.

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<p>MobiHealth systems are tele-monitoring systems based on BAN (Body Area Network) and mobile health care (m-health) service platform utilizing next generation public wireless networks. Smart phone applications have self-monitoring and sensing capabilities and are used in health interventions and disease prevention. In this study, a prototype mobile sensing platform was introduced for m-Health and telemedicine applications, which medical sensors on patient body reports biological signals and environmental sensors send environment raw data to base station (smart phone). Then raw data were

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10

Porshnev, Sergey, Andrey Borodin, Olga Ponomareva, Sergey Mirvoda, and Olga Chernova. "The Development of a Heterogeneous MP Data Model Based on the Ontological Approach." Symmetry 13, no. 5 (2021): 813. http://dx.doi.org/10.3390/sym13050813.

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The article discusses the approaches providing symmetric access of all industrial production services to the data of business processes of the enterprise by building a single warehouse of heterogeneous data of a metallurgical production. The warehouse is a part of an automated statistic quality control system for the products of a metallurgical enterprise. The article describes an ontological storage model of data coming from various sources of information in the production process. The concept of “a unit of production of metallurgical production” is introduced that is the connecting component

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Suleimenova, L. R., S. K. Kumargazhanova, A. S. Tlebaldinova, Zh T. Konurbayeva, S. S. Smailova, and A. M. Urkumbayeva. "APPLICATION OF ONTOLOGICAL MODELING IN THE PROBLEMS OF KNOWLEDGE MANAGEMENT IN A MODERN UNIVERSITY." Bulletin D. Serikbayev of EKTU, no. 1 (December 2023): 335–42. http://dx.doi.org/10.51885/1561-4212_2023_4_335.

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The article provides a brief description of the stages of building an ontological model of the subject area. The results of building an ontological model of university knowledge, namely scientific knowledge, which allows integrating data on the results of scientific activity from scientometric databases, are presented. The proposed model is built by reengineering the SWRC and BiDO ontological model.

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Igor, Bibichkov, Sokol Vadym, and Shevchenko Oleksandr. "ONTOLOGICAL APPROACH TO DEVELOPMENT OF WEB-CONTENT GENERATION METHOD." Technology audit and production reserves 5, no. 2 (49) (2019): 4–10. https://doi.org/10.15587/2312-8372.2019.183201.

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<em>The object of research is the process of automated creation of web content based on information presented in an ontological form. One of the most problematic places in web development is the process of creating a user interface. This is due to the fact that this process is complex and requires more time and money than other development stages.</em> <em>During the study, there was applied a software development model, which is, based on the development of an ontology, and then a software application for its processing. This approach is called «Ontology-driven development» (or th

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Kovartsev, A. N., V. S. Smirnov, and S. V. Smirnov. "Intelligent Design of Class Structure Model based on Ontological Data Analysis." Proceedings of the Institute for System Programming of the RAS, no. 3 (2015): 73–86. http://dx.doi.org/10.15514/ispras-2015-27(3)-5.

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Fedorov, Oleg D., and Nadezhda R. Yashchuk. "The ontological model of mentoring young teachers." Yaroslavl Pedagogical Bulletin 5, no. 122 (2021): 38–49. http://dx.doi.org/10.20323/1813-145x-2021-5-122-38-49.

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The problem of mentoring is relevant not only for the pedagogical community, but also for the entire system of training personnel for many sectors of the economy. It is likely that many of the processes that occur in the mentor – mentee relationship are repeated regardless of the field of activity. The authors of this article have made an attempt to explore the real practice of mentoring in general education organizations to identify and define these key processes, considering the situation of formation in the profession of a young teacher. The model formed as a result of the generalization of

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Yarushkina, N., A. Romanov, A. Filippov, A. Dolganovskaya, and M. Grigoricheva. "Using ontology merging for the integration of information systems and the production capacity planning system." Information Technology and Nanotechnology, no. 2416 (2019): 401–8. http://dx.doi.org/10.18287/1613-0073-2019-2416-401-408.

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This article describes the method of integrating information systems of an aircraft factory with the production capacity planning system based on the ontology merging. The ontological representation is formed for each relational database (RDB) of integrated information systems. The ontological representation is formed in the process of analyzing the structure of the relational database of the information system (IS). Based on the ontological representations merging the integrating data model is formed. The integrating data model is a mechanism for semantic integration of data sources.

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Fomin, Igor N. "Application of an ontological approach to the problems of energy consumption data exchange." Journal Of Applied Informatics 19, no. 4 (2024): 4–17. http://dx.doi.org/10.37791/2687-0649-2024-19-4-4-17.

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The article describes the technical concept of organizing data exchange between a specialized settlement center that carries out billing of consumed heat energy, and an energy sales company that supplies heat energy to industrial enterprises, government agencies and the population. The article describes the features of the technical problem of data exchange, which determine the parameters of mathematical models for calculating the volumes and costs of consumed energy resources, and then reviews approaches to solving this class of problems. To solve the technical problem, the features of the da

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Razdyakonov, D. S., and D. I. Muromcev. "Application of an Agent-Based Model to Develop Ontological Data Visual Management Tool." Scientific Visualization 15, no. 5 (2023): 73–88. http://dx.doi.org/10.26583/sv.15.5.07.

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The paper presents an agent-based model of interactive visualization and proposes a method for its application in the development of the ontological data visual management tool. The process of user interaction with the visualization is represented as a state graph, where each node is a separate visualization. The initial state is known, and the final state is formed in the process of user interaction with the ontological data visual management tool. Each intermediate visualization from the state graph is transferred into the multidimensional Euclidean data space formed on the basis of the visu

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Globa, Larysa, and Anton Kartashov. "OPTIMIZING DISTRIBUTED DATA STORAGE IN MULTI-CLOUD ENVIRONMENTS: ALGORITHMIC APPROACH." Information and Telecommunication Sciences, no. 2 (December 23, 2024): 4–12. https://doi.org/10.20535/2411-2976.22024.4-12.

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Background. Multi-cloud environments present complex challenges in optimal resource allocation and provider selection. Previous research has established a comprehensive ontological model and evaluation criteria for distributed data storage, however efficient provider selection remains a significant challenge due to the dynamic nature of cloud services and the multitude of interdependent factors affecting performance and cost-effectiveness. Objective. The purpose of the paper is to develop and validate a sophisticated optimization function for cloud provider selection in multi-cloud environment

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Dyvak, Mykola, Andriy Melnyk, Artur Rot, Marcin Hernes, and Andriy Pukas. "Ontology of Mathematical Modeling Based on Interval Data." Complexity 2022 (July 19, 2022): 1–19. http://dx.doi.org/10.1155/2022/8062969.

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An ontological approach as a tool for managing the processes of constructing mathematical models based on interval data and further use of these models for solving applied problems is proposed in this article. Mathematical models built using interval data analysis are quite effective in many applications, as they have “guaranteed” predictive properties, which are determined by the accuracy of experimental data. However, the application of mathematical modeling methods is complicated by the lack of software tools for the implementation of procedures for constructing this type of mathematical mo

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Mamedova, Natalia. "Towards Digitalization of Business Processes: Building a Business Domain Ontology for Project Management." WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL 17 (September 16, 2022): 379–91. http://dx.doi.org/10.37394/23203.2022.17.42.

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The article presents an ontological model of the subject area. It was designed to improve the efficiency of the software development process and reduce development costs. This ontological model is recommended to be used in the formation of the company’s software architecture. The article contains data on the process and results of developing an ontological model of the selected subject area. The theoretical justification of the application of the ontological approach is presented. The business domain of relations between IT directors during the implementation of the digitalization project of t

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Silagin, Silagin, and V. O. Denysiuk. "ONTOLOGICAL MODELLING OF THE KNOWLEDGE BASE OF THE TRAVEL ORGANIZATION." Ukrainian Journal of Information Technology 4, no. 1 (2022): 44–52. http://dx.doi.org/10.23939/ujit2022.01.044.

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In modern conditions of society development, increasing degree and pace of integration of information technology achievements in the field of human life, traditional approaches to building information systems become too cumbersome or cease to be effective. One of the ways to solve this problem is to develop knowledge-based systems. The work is devoted to ontological modeling of a new subject area "travel organization". The ontology is considered in the context of knowledge exchange. The created travel ontology is quite modern and relevant today. The developed ontological model of the knowledge

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Espinoza-Arias, Paola, María Poveda-Villalón, Raúl García-Castro, and Oscar Corcho. "Ontological Representation of Smart City Data: From Devices to Cities." Applied Sciences 9, no. 1 (2018): 32. http://dx.doi.org/10.3390/app9010032.

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Existing smart city ontologies allow representing different types of city-related data from cities. They have been developed according to different ontological commitments and hence do not share a minimum core model that would facilitate interoperability among smart city information systems. In this work, a survey has been carried out in order to study available smart city ontologies and to identify the domains they are representing. Taking into account the findings of the survey and a set of ontological requirements for smart city data, a list of ontology design patterns is proposed. These pa

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Foudeh, Pouya, and Naomie Salim. "ONTOLOGICAL, FULLY PROBABILISTIC KNOWLEDGE MODEL FOR HUMAN ACTIVITY RECOGNITION." Jurnal Teknologi 85, no. 2 (2023): 183–99. http://dx.doi.org/10.11113/jurnalteknologi.v85.18942.

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Efficiency and scalability are obstacles that have not yet received a viable response from the human activity recognition research community. This paper proposes an activity recognition method. The knowledge model is in the form of ontology, the state-of-the-art in knowledge representation and reasoning. The ontology starts with probabilistic information about subjects’ low-level activities and location and then is populated with the assertion axioms learned from data or defined by the user. Unlike methods that choose only the most probable candidate from sensor readings, the proposed method k

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Kartashov, Anton, and Larysa Globa. "TOWARDS SEAMLEES MULTI-CLOUD INTEGRATION: STRATEGIC APPROACH." Системи управління, навігації та зв’язку. Збірник наукових праць 4, no. 78 (2024): 79–83. https://doi.org/10.26906/sunz.2024.4.079.

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Background. Cloud computing has transformed the IT landscape, offering scalable and cost-efficient solutions for data storage and access. The emergence of multi-cloud environments as a strategic approach to leverage various cloud service providers' strengths has introduced new challenges and opportunities. Existing multi-cloud frameworks and approaches lack versatility in addressing key concepts such as data security, scalability, cost optimization, and resource management. Objective. Designing and developing an ontological model and optimization function to enhance data management practices a

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Nieto Sánchez, Zulmary Carolina, and Antonio José Bravo Valero. "Exploring computational methods in the statistical analysis of imprecise medical data: between epistemology and ontology." Salud, Ciencia y Tecnología 4 (July 31, 2024): 1341. http://dx.doi.org/10.56294/saludcyt20241341.

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The accuracy of the results is essential to evaluate the effectiveness of statistical methods in the analysis of medical data with uncertainty. Indicators such as margin of error, percent agreement and coefficient of determination quantified accuracy under epistemic and ontological uncertainty. The stability of the methods was assessed by variation in trend analysis, sensitivity to small variations and model robustness. Data reliability focused on the selection of methods that effectively handle epistemic uncertainty, recording assumptions, sensitivity analysis and internal consistency. Ontolo

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MELNYK, Andriy. "SOFTWARE ARCHITECTURE FOR MATHEMATICAL MODELING BASED ON INTERVAL AND ONTOLOGICAL APPROACH." Herald of Khmelnytskyi National University. Technical sciences 311, no. 4 (2022): 141–49. http://dx.doi.org/10.31891/2307-5732-2022-311-4-141-149.

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The paper substantiates the use of the ontological approach as an effective tool for managing the processes of building mathematical models based on interval data and using these models for applied problems. The use of the ontological model made it possible to formalize the process of obtaining, storing and using knowledge obtained in the process of mathematical modeling. The article also presents the features of building a software architecture for mathematical modeling based on interval analysis and an ontological approach. The technology for creating software based on the developed ontologi

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Aresti, Andreas, Penelope Markellou, Ioanna Mousourouli, Spiros Sirmakessis, and Athanasios Tsakalidis. "A Movie E-shop Recommendation Model Based on Web Usage and Ontological Data." Journal of Electronic Commerce in Organizations 5, no. 3 (2007): 17–34. http://dx.doi.org/10.4018/jeco.2007070102.

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Zawadzka, Teresa, Wojciech Waloszek, Aleksandra Karpus, Sara Zapalowska, and Michal R. Wrobel. "Ontological Model for Contextual Data Defining Time Series for Emotion Recognition and Analysis." IEEE Access 9 (2021): 166674–94. http://dx.doi.org/10.1109/access.2021.3132728.

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Bendik, Nadezhda V., and Marina N. Polkovskaya. "Ontological data model for assessing the repeatability of failures of electrical network elements." Информационные и математические технологии в науке и управлении, no. 4 (2022): 170–80. http://dx.doi.org/10.38028/esi.2022.28.4.013.

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Zayakin, V. S., L. N. Lyadova, and E. A. Rabchevskiy. "An Ontological Approach to Information Integration in Data Intensive Domains." Informacionnye Tehnologii 28, no. 10 (2022): 529–38. http://dx.doi.org/10.17587/it.28.529-538.

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The development and support of knowledge-based systems for experts in the field of social network analysis (SNA) is complicated because of the problems of viability maintenance that inevitably emerge in data intensive domains. Largely this is the case due to the properties of semi-structured objects and processes that are analyzed by data specialists using data mining techniques and others automated analytical tools. Firstly, new sources (e. g. online social networks, published databases) constantly become available for gathering, analyzing, and interpreting data. Thus, new sources should be m

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Mukanova, Assel, Marek Milosz, Assem Dauletkaliyeva, et al. "LLM-Powered Natural Language Text Processing for Ontology Enrichment." Applied Sciences 14, no. 13 (2024): 5860. http://dx.doi.org/10.3390/app14135860.

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This paper describes a method and technology for processing natural language texts and extracting data from the text that correspond to the semantics of an ontological model. The proposed method is distinguished by the use of a Large Language Model algorithm for text analysis. The extracted data are stored in an intermediate format, after which individuals and properties that reflect the specified semantics are programmatically created in the ontology. The proposed technology is implemented using the example of an ontological model that describes the geographical configuration and administrati

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Okemwa, Joshua, Patrick Oduor Owoche, and Samuel Mungai Mbuguah. "A Fuzzy Ontological Model for Semantic Interoperability in Distributed Healthcare Information Systems." International Journal of Research and Innovation in Applied Science IX, no. XII (2025): 478–83. https://doi.org/10.51584/ijrias.2024.912043.

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The exchange of patient or care data across heterogeneous health systems is crucial in the modern healthcare ecosystem yet remains daunting. Integration and interoperability in siloed health applications require robust health information exchange (HIE) and a pragmatic ontological model to be successful. This paper details a prototype development endeavor and systematic review of literature that has pioneered the development of a robust, practical, and tested fuzzy ontological model to enhance semantic interoperability in siloed, distributed health systems. Leveraging the tenets, standards, LOI

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Sanfilippo, Emilio M., Walter Terkaj, and Stefano Borgo. "Ontological modeling of manufacturing resources." Applied Ontology 16, no. 1 (2021): 87–109. http://dx.doi.org/10.3233/ao-210242.

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Standards and ontologies for manufacturing understand resources differently. Because of this heterogeneity, misunderstandings arise concerning the basic features that characterize them. The purpose of the paper is to investigate how to ontologically model resources with the goal of facilitating the development of knowledge representation models for manufacturing. By reviewing the literature, we discuss and compare three approaches for the representation of resources depending on whether they are conceived in connection to either processes, plans or goals. By addressing the advantages and short

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Shapovalov, V. B. "USING THE ONTOLOGICAL MODEL OF THE STEM–CENTER IN THE EDUCATIONAL PROCESS." Scientific Notes of Junior Academy of Sciences of Ukraine, no. 1(20) (2021): 102–16. http://dx.doi.org/10.51707/2618-0529-2021-20-11.

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The article is devoted to the practical aspects of using the ontological model of the STEM Center, which is built on the basis of cognitive information technology “Polyhedron”, in educational and research processes. Tools created using Microsoft and Google Spreadsheets are described. The application of the system of virtual museum Laboratories, a database of microorganisms, an ontological STEM classifier, a virtual laboratory of scientific publications, ontological virtual laboratories of expeditions, and a cognitive system for selecting research papers is analyzed. All tools of the CIT “Poly

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Greenberg, Jane, Angela Murillo, and John A. Kunze. "Ontological Empowerment: Sustainability via Ownership." Advances in Classification Research Online 23, no. 1 (2013): 47. http://dx.doi.org/10.7152/acro.v23i1.14258.

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<p>Positive impacts associated with urban housing/home ownership programs motivate us to study this topic in relation to ontologies. This paper reviews ontological dependence and presents early work underway in the DataONE Preservation and Metadata Working Group (PAMWG) to collectively leverage existing metadata schemes and ontologies. The paper introduces a high-level set of functional requirements and the stackoverflow model that may be used detect highly rated metadata or ontological properties to from a loose cannon for describing scientific data. The long term goal is to establish c

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Zelinska, Dariia, Vladyslav Girdvainis, and Olexiy Silagin. "IMPLEMENTATION OF THE APPROACH TO ONTOLOGICAL MODELING OF THE MUSICAL SUPERGENRE “METAL”." Information and Telecommunication Sciences, no. 2 (December 21, 2021): 58–63. http://dx.doi.org/10.20535/2411-2976.22021.58-63.

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Background. The relevance of the article is due to the development of modern ontological methods of structuring information and the need to systematize data in many new specific subject areas. Such subject areas include the musical art of the "metal" variety, which is quite common today, but insufficiently studied within the terminology. The subject of the article are ontological models and tools for creating ontological knowledge bases. Objective. The purpose of the paper is to increase the correctness of the semantic search in the knowledge base of the musical supergenre "metal". The s

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Shynkarenko, Viktor, Larysa Zhuchyi, and Oleksandr Ivanov. "Ontology-Based Semantic Checking of Data in Railway Infrastructure Information Systems." Foundations of Computing and Decision Sciences 47, no. 3 (2022): 291–319. http://dx.doi.org/10.2478/fcds-2022-0016.

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Abstract Semantic checking of railway infrastructure information support data is one of the ways to improve the consistency of information system data and, as a result, increase the safety of train traffic. Existing ontological developments have demonstrated the applicability of description logic for modelling railway transport, but have not paid enough attention to the data resources structure and the railway regulatory support. In this work, the formalization of the tabular presentation of data and the rules of railway transport regulations is carried out using the example of a connection tr

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Villazón-Terrazas, Boris Carmen, Mari Suárez-Figueroa, and Asunción Gómez-Pérez. "A Pattern-Based Method for Re-Engineering Non-Ontological Resources into Ontologies." International Journal on Semantic Web and Information Systems 6, no. 4 (2010): 27–63. http://dx.doi.org/10.4018/jswis.2010100102.

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To speed up the ontology development process, ontology developers are reusing all available ontological and non-ontological resources, such as classification schemes, thesauri, lexicons, and so forth, that have already reached some consensus. Non-ontological resources are highly heterogeneous in their data model and storage system (or implementation). The reuse of these non-ontological resources involves their re-engineering into ontologies. This paper presents a method for re-engineering non-ontological resources into ontologies. The method is based on so-called re-engineering patterns, which

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CHANG, SHI-KUO, FRANCESCO COLACE, LEI ZHAO, and YAO SUN. "PROCESSING CONTINUOUS QUERIES ON SENSOR-BASED MULTIMEDIA DATA STREAMS BY MULTIMEDIA DEPENDENCY ANALYSIS AND ONTOLOGICAL FILTERING." International Journal of Software Engineering and Knowledge Engineering 21, no. 08 (2011): 1169–208. http://dx.doi.org/10.1142/s0218194011005669.

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We present a mathematical model of multimedia data streams and a framework for multimedia functional dependency analysis. The dual objectives are to effectively design multimedia data streams schema and to efficiently process continuous queries on sensor-based multimedia data streams. To further improve query processing, we introduce the concept of ontological filtering. A software tool to add multimedia functional dependencies to ontology is developed. Based upon multimedia functional dependency analysis and ontological filtering, query processing algorithms, illustrative examples and experim

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Kannengiesser, Udo, and John S. Gero. "What distinguishes a model of systems engineering from other models of designing? An ontological, data-driven analysis." Research in Engineering Design 33, no. 2 (2022): 129–59. http://dx.doi.org/10.1007/s00163-021-00382-9.

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AbstractThis paper investigates how the core technical processes of the INCOSE model of systems engineering differ from other models of designing used in the domains of mechanical engineering, software engineering and service design. The study is based on fine-grained datasets produced using mappings of the different models onto the function-behaviour-structure (FBS) ontology. By representing every model uniformly, the same statistical analyses can be carried out independently of the domain of the model. Results of correspondence analysis, cumulative occurrence analysis and Markov model analys

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Fedasyuk, Dmytro, and Illia Lutsyk. "Adaptive Software System Based on Ontological Approach for People With Cognitive Impairments." Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì 9 (June 10, 2021): 61–74. http://dx.doi.org/10.23939/sisn2021.09.061.

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The paper presents a method of creating an adaptive software system to help people with cognitive impairments, based on the use of an ontological model of the subject area. The specifics of creating software tools to help people with cognitive impairments are analysed. The features of using the ontological approach for the formation of adaptive functionality and graphical interface are revealed and their advantages over traditional methods are analysed. It was found that when using this method, there is no need to recompile and fully deploy the software system in the event of a change in busin

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Eremin, I. E., E. B. Korobiy, A. V. Natsvin, V. I. Trukhin, and A. Iu Lokhov. "HIGH-TECH MODEL OF ALBAZINSKY FORT." Informatika i sistemy upravleniya, no. 3 (2021): 3–24. http://dx.doi.org/10.22250/isu.2021.69.3-24.

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The methodology of using computer technologies for scientific and metric modeling of lost wooden structures dating back to medieval period in Russian history is reviewed. The most accurate recon-struction of the Albazinsky Fort exterior as of 1685, implemented within the framework of ontological coordination of initial data maximum sampling, is presented.

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Mugizi, Wilson. "Constructing a Conceptual Framework for Quantitative Data Analysis in Social Science Research." INTERDISCIPLINARY JOURNAL OF EDUCATION (IJE) 2, no. 1 (2019): 74–88. http://dx.doi.org/10.53449/ije.v2i1.77.

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The article proposes how to construct a conceptual framework in social science research using the quantitative paradigm. The purpose of the paper is to provide a guideline for drawing a conceptual framework to students writing proposals based on scientific justification for data analysis. The paper explains how constructs are interlinked to develop a conceptual framework. The article argues that a conceptual framework is not a fixed network of variables but possesses ontological, epistemological, and methodological assumptions and each concept within a conceptual framework plays an ontological

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Loginovskiy, O. V., and V. A. Beliakova. "DIGITAL TWIN-BASED MANAGEMENT MODEL FOR HIGH-TECH PRODUCTION." Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics 25, no. 2 (2025): 95–106. https://doi.org/10.14529/ctcr250209.

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A management model for high-tech production based on digital twin technology is presented, combining the architecture of a data lake and the principles of ontological engineering and an agent-based service approach. The study examines the problems of managing complex production environments in the context of Industry 4.0, and suggests a hybrid approach combining the principles of a “smart factory” with lean manufacturing methodologies. The model includes a multi-level architecture covering strategic, tactical and operational levels, supported by an agent-service structure for system integratio

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Semenova, V. A., and S. V. Smirnov. "Models and methods of ontological data analysis in the problem of structural analysis and synthesis of technical decisions." Ontology of Designing 13, no. 4 (2023): 531–47. http://dx.doi.org/10.18287/2223-9537-2023-13-4-531-547.

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The article explores the potential and demonstrates the effectiveness of using some models and methods of ontological data analysis in the problem of structural analysis and synthesis of technical decisions. Morphological analysis and synthesis of layout diagrams of artifacts are considered as a working methodology for structural design. A set-theoretic model of the morphological decision space is constructed for the classical version of the methodology. The model in-cludes the functional subsystems of the designed artifact, implementation options for these subsystems, and potential technical

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Padilla-Cuevas, Josué, José A. Reyes-Ortiz, and Maricela Bravo. "Ontology-Based Context Event Representation, Reasoning, and Enhancing in Academic Environments." Future Internet 13, no. 6 (2021): 151. http://dx.doi.org/10.3390/fi13060151.

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An Ambient Intelligence responds to user requests based on several contexts. A relevant context is related to what has happened in the ambient; therefore, it focuses a primordial interest on events. These involve information about time, space, or people, which is significant for modeling the context. In this paper, we propose an event-driven approach for context representation based on an ontological model. This approach is extendable and adaptable for academic domains. Moreover, the ontological model to be proposed is used in reasoning and enrichment processes with the context event informati

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Rogushina, J. V. "Fuzzy data in semantic Wiki-resources: models, sources and processing methods." PROBLEMS IN PROGRAMMING, no. 2 (June 2023): 67–83. http://dx.doi.org/10.15407/pp2023.02.067.

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We analyze main types of dirty data processed by intelligente information systems, criteria of data classification and means of detection non-classical properties of data. Results of this analysis are represented by ontological model that contains taxonomy of classical and nonclassical data and knowledge-oriented methods of their transformation. Special attention is paid to semantically incorrect data that corresponds to vague knowledge. This ontological model intended to provide more effectively methods for transforming raw data into smart data suitable for automatic analysis, knowledge acqui

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Namestnikov, A. М. "Application of the ontological approach in the problem of event data generation using simulation models." Ontology of Designing 13, no. 2 (2023): 243–53. http://dx.doi.org/10.18287/2223-9537-2023-13-2-243-253.

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The article describes an application of the ontological approach to solving the problem of generating event data coming from the logs of simulation experiments. Currently, as part of the scientific direction Intelligent analysis of processes, methods and algorithms are being developed that allow solving machine learning problems in relation to event data. Simulation modeling can play an important role in the formation of training samples. However the experimental results of simulation in the form of logs of a certain structure must be brought to the form of event logs as they are understood in

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Ponciano, Jean-Jacques, Alain Trémeau, and Frank Boochs. "Automatic Detection of Objects in 3D Point Clouds Based on Exclusively Semantic Guided Processes." ISPRS International Journal of Geo-Information 8, no. 10 (2019): 442. http://dx.doi.org/10.3390/ijgi8100442.

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In the domain of computer vision, object recognition aims at detecting and classifying objects in data sets. Model-driven approaches are typically constrained through their focus on either a specific type of data, a context (indoor, outdoor) or a set of objects. Machine learning-based approaches are more flexible but also constrained as they need annotated data sets to train the learning process. That leads to problems when this data is not available through the specialty of the application field, like archaeology, for example. In order to overcome such constraints, we present a fully semantic

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Gribova, Valeriya, Yury Kulchin, Alexander Nikitin, et al. "A Multi-Model Ontological System for Intelligent Assistance in Laser Additive Processes." Applied Sciences 15, no. 8 (2025): 4396. https://doi.org/10.3390/app15084396.

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This study examines the key obstacles that hinder the mass adoption of additive manufacturing (AM) processes for fabrication and processing of metal parts. To address these challenges, the necessity of integrating an intelligent decision support system (DSS) into the workflow of AM process engineers is demonstrated. The advantages of applying a two-level ontological approach to the creation of semantic information to develop an ontology-based DSS are pointed out. A key feature of this approach is that the ontological models are clearly separated from data and knowledge bases formed on this bas

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