Relevant bibliographies by topics / Ontological Data Model

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Ontological Data Model'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Ontological Data Model"

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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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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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Dissertations / Theses on the topic "Ontological Data Model"

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Al-Debei, Mutaz M. "The design and engineering of innovative mobile data services : an ontological framework founded on business model thinking." Thesis, Brunel University, 2010. http://bura.brunel.ac.uk/handle/2438/4397.

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This research investigates mobile service design and engineering in the mobile telecommunications industry. The mobile telecommunication business is shifting from one that was voice-centric to one that is almost all data-centric; thanks to recent rapid advances in Information and Communication Technologies (ICTs). The underlying reasons behind this shift can be traced back to two main issues that are interlinked. The first and major reason is that telecoms (telecommunication companies) are trying to generate new revenue streams based on data and information transmissions, given the saturation
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PEREIRA, Flávius Anderson Félix. "Geração semi-automatizada de modelo multidimensional de um cubo OLAP a partir de ontologias." Universidade Federal de Pernambuco, 2011. https://repositorio.ufpe.br/handle/123456789/2431.

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Made available in DSpace on 2014-06-12T15:58:10Z (GMT). No. of bitstreams: 2 arquivo3265_1.pdf: 1946736 bytes, checksum: 228965ff9be624af62e03934d0c8cb66 (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2011<br>Atualmente as empresas necessitam de sistemas que lhes dêem um suporte na tomada de decisões, o que pode ser crucial para a sobrevivência da empresa no mercado econômico global. Os sistemas transacionais possuem limitações em relação a isto. Portanto, é necessário o desenvolvimento de um sistema de Data Warehouse associado à u
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Musa, Daniela Leal. "Compartilhamento de modelos de alunos via ontologia e web services." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2006. http://hdl.handle.net/10183/11160.

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O desenvolvimento de sistemas de ensino a distância (EaD) adaptativos vêm sendo o alvo de pesquisa nos últimos anos, porém uma das carências mais importantes é que estes sistemas não possuem dados suficientes que descrevam o aluno, de modo a realizar a adaptação adequada. Uma das grandes dificuldades no processo é a aquisição desses dados. Normalmente para a realização de um curso em um sistema de EaD na Web, o aluno, entre outras atividades, deve cadastrar-se no sistema e informar seus dados pessoais. Alguns sistemas possuem mecanismos para descoberta das preferências do aluno, seu estilo de
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Guimarães, Francisco José Rosales Santana. "Ontologias com suporte em metadados para interoperabilidade entre arquitetura empresarial e business intelligence." Doctoral thesis, Universidade de Évora, 2018. http://hdl.handle.net/10174/23561.

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Uma empresa é uma forma de organização que pode ser vista como um sistema, e como tal, passível de ser representada através de um modelo que permita capturar os conceitos que a definem considerando a sua estrutura (e.g. cliente, canal, produto) e semântica (e.g. relação entre cliente e canal). Com base neste modelo torna-se possível conhecer de forma holística a organização, delinear estratégias, implementar sistemas de informação e monitorizar o seu desempenho. A modelação de uma organização ocorre em processos cíclicos, como é o caso de planeamento estratégico, desenho de processos ou desenh
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Tosin, Thyago de Melo. "Um modelo para integração de informações de bases de dados abertos, com uso de ontologias." Universidade do Vale do Rio dos Sinos, 2016. http://www.repositorio.jesuita.org.br/handle/UNISINOS/5244.

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Submitted by Silvana Teresinha Dornelles Studzinski (sstudzinski) on 2016-05-09T13:21:17Z No. of bitstreams: 1 Thyago de Melo Tosin_.pdf: 4027788 bytes, checksum: 005b4b30c3ee7d5ddc7a8365fa1917f4 (MD5)<br>Made available in DSpace on 2016-05-09T13:21:17Z (GMT). No. of bitstreams: 1 Thyago de Melo Tosin_.pdf: 4027788 bytes, checksum: 005b4b30c3ee7d5ddc7a8365fa1917f4 (MD5) Previous issue date: 2016-02-26<br>IFRR - Instituto Federal de Educação Ciências e Tecnologia de Roraima<br>Com a lei de Acesso à Informação (Lei 12527/2011), espera-se que nas esferas federais, estaduais e municipais est
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Niche, Roberto. "Um modelo para implementação de aplicações da Argument Web integradas com bases de dados abertos e ligados." Universidade do Vale do Rio dos Sinos, 2015. http://www.repositorio.jesuita.org.br/handle/UNISINOS/4875.

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Submitted by Silvana Teresinha Dornelles Studzinski (sstudzinski) on 2015-10-21T15:18:41Z No. of bitstreams: 1 ROBERTO NICHE_.pdf: 2843778 bytes, checksum: 593973f2bdcb7e774f0022cc2e08fdea (MD5)<br>Made available in DSpace on 2015-10-21T15:18:41Z (GMT). No. of bitstreams: 1 ROBERTO NICHE_.pdf: 2843778 bytes, checksum: 593973f2bdcb7e774f0022cc2e08fdea (MD5) Previous issue date: 2015-06-30<br>Milton Valente<br>Ferramentas de comunicação e colaboração são amplamente utilizadas na internet para expressar opiniões e descrever pontos de vista sobre os mais diversos assuntos. Entretanto elas nã
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Beckett, Jason. "Forensic computing : a deterministic model for validation and verification through an ontological examination of forensic functions and processes." 2010. http://arrow.unisa.edu.au:8081/1959.8/93190.

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This dissertation contextualises the forensic computing domain in terms of validation of tools and processes. It explores the current state of forensic computing comparing it to the traditional forensic sciences. The research then develops a classification system for the disciplines functions to establish the extensible base for which a validation system is developed.<br>Thesis (PhD)--University of South Australia, 2010
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Lopes, José Pedro Silva. "Ontology-driven metamodeling towards hypervisor design automation: runtime security and data integrity." Master's thesis, 2017. http://hdl.handle.net/1822/59264.

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Dissertação de mestrado em Engenharia Eletrónica Industrial e Computadores<br>One of the most popular cyber-attack vectors to compromise computer systems is related to memory corruption. Memory corruption is one of the most prevalent and devastating vulnerabilities. The widespread adoption of virtualization technology in embedded systems generally and naively accepts Virtual Machine Manager (VMM) or hypervisor software as the Trusted Computing Base (TCB). As a software component, vulnerabilities can still be present, allowing attackers to subvert it alike Operating Systems (OSs). Virtuali
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Čerba, Otakar. "Ontologie jako nástroj pro návrhy datových modelů vybraných témat příloh směrnice INSPIRE." Doctoral thesis, 2012. http://www.nusl.cz/ntk/nusl-312127.

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It turns out that for most users of spatial data presents a harmonization of data (as an elimination of heterogeneity) as the greatest problem - a transformation their own data sets to the data specifications produced by the INSPIRE Directive so as not to limit current processes processing, management, sharing and presentation of data. Therefore, they need the widest possible description of spatial data, because it will only eliminate the problems of heterogeneity. The author of this Ph.D. thesis dealt with the opportunities which ontologies bring to the process of data modelling. The aim was
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Bendo, Thyago Romagna. "Desenvolvimento de uma plataforma Web para a rastreabilidade de modelos baseados em agentes." Master's thesis, 2021. http://hdl.handle.net/10400.26/36340.

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O uso de modelos baseados em agentes (MBA) é uma abordagem popular para o desenvolvimento de simulações em domínios como as ciências sociais, a geografia e as ciências naturais. Entretanto devido a complexidade dos modelos, a partilha das especificações torna-se um processo penoso, que dificulta a validação e replicação deste tipo de modelo. Para auxiliar nesse processo, foi desenvolvido o protocolo ODD que torna mais fácil a escrita e leitura das descrições dos MBA. Este protocolo evoluiu e foi refinado nas versões ODD+D e ODD+2D. Contudo, por se tratar de um protocolo, a latitude permitida n
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Books on the topic "Ontological Data Model"

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Dowd, Cate. Digital Journalism, Drones, and Automation. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190655860.001.0001.

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Advances in online technology and news systems, such as automated reasoning across digital resources and connectivity to cloud servers for storage and software, have changed digital journalism production and publishing methods. Integrated media systems used by editors are also conduits to search systems and social media, but the lure of big data and rise in fake news have fragmented some layers of journalism, alongside investments in analytics and a shift in the loci for verification. Data has generated new roles to exploit data insights and machine learning methods, but access to big data and
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Lorino, Philippe. Postface: A few lines of temporary, exploratory, and practical conclusion. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198753216.003.0011.

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The potential to process more abundant data through more sophisticated algorithms reinforces the expectation that situations can be controlled. However, what slips through the net of massive data processing and sophisticated algorithms is a distilled concentrate of radical novelty, puzzling uncertainty, and tangled complexity, for which we might be little prepared since ordinary riddles are increasingly systematically solved by systems and not by us. More than ever, we need to consider situated action as a central object of study, taking seriously its disruptive power and complexity. Pragmatis
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Book chapters on the topic "Ontological Data Model"

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Ben Mustapha, Nesrine, Marie-Aude Aufaure, Hajer Baazaoui Zghal, and Henda Ben Ghezala. "Modular Ontological Warehouse for Adaptative Information Search." In Model and Data Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33609-6_9.

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Djezzar, Meriem, Mounir Hemam, and Zizette Boufaida. "Ontological Re-classification of Individuals: A Multi-viewpoints Approach." In Model and Data Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33609-6_10.

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Bova, Victoria V., Vladimir V. Kureichik, Sergey N. Scheglov, and Liliya V. Kureichik. "Multi-level Ontological Model of Big Data Processing." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01818-4_17.

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Rastogi, Namrata, Parul Verma, and Pankaj Kumar. "Ontological Design of Information Retrieval Model for Real Estate Documents." In Microservices in Big Data Analytics. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0128-9_7.

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Bertossi, Leopoldo, and Mostafa Milani. "The Ontological Multidimensional Data Model in Quality Data Specification and Extraction." In Lecture Notes in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60795-5_13.

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Chernenkiy, Valeriy M., Yuriy E. Gapanyuk, Anatoly N. Nardid, Anton V. Gushcha, and Yuriy S. Fedorenko. "The Hybrid Multidimensional-Ontological Data Model Based on Metagraph Approach." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74313-4_6.

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Sidhu, Amandeep S., Tharam S. Dillon, and Elizabeth Chang. "Ontological Foundation for Protein Data Models." In On the Move to Meaningful Internet Systems 2005: OTM 2005 Workshops. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11575863_113.

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Burov, Yevhen, Victoria Vysotska, Vasyl Lytvyn, and Lyubomyr Chyrun. "Software Based on Ontological Tasks Models." In Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16203-9_34.

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Rivero, Carlos R., Inma Hernández, David Ruiz, and Rafael Corchuelo. "Towards Discovering Ontological Models from Big RDF Data." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33999-8_16.

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Caliço, Tiago. "Ontological and Methodological Barriers to the Incorporation of Event Data in Psychometric Models." In Springer Proceedings in Mathematics & Statistics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74772-5_33.

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Conference papers on the topic "Ontological Data Model"

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Musa, Mohd Hafizan, Sazilah Salam, Mohd Adili Norasikin, Syahmie Shabarudin, Ibrahim Ahmad, and Wan Sazli Nasarudin Saifudin. "A Comprehensive Review of Data Retrieval and Evaluation Methods for Current Universities Ontological Model." In 2024 16th International Conference on Knowledge and System Engineering (KSE). IEEE, 2024. https://doi.org/10.1109/kse63888.2024.11063480.

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Kozlovskiy, A. V., Y. E. Melnik, and V. I. Voloshchuk. "An Ontological Model for the Automated Data Replenishment Method Implementation for the Synthesis of Applied Photogrammetry Systems." In 2024 International Russian Automation Conference (RusAutoCon). IEEE, 2024. http://dx.doi.org/10.1109/rusautocon61949.2024.10694212.

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Zarubin, Anton, Albina Koval, and Vadim Moshkin. "Ontological Model of an Electronic Archive Document." In ICGDA 2020: 2020 3rd International Conference on Geoinformatics and Data Analysis. ACM, 2020. http://dx.doi.org/10.1145/3397056.3397065.

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Suryawanshi, Yogita, Haonan Qiu, Adel Ayara, and Birte Glimm. "An Ontological Model for Map Data in Automotive Systems." In 2019 IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering (AIKE). IEEE, 2019. http://dx.doi.org/10.1109/aike.2019.00034.

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Pelekh, Iryna. "Scientific and Technical Information Resources Semistructured Data Ontological Model." In 2023 IEEE 18th International Conference on Computer Science and Information Technologies (CSIT). IEEE, 2023. http://dx.doi.org/10.1109/csit61576.2023.10324271.

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Jones, Steven, Ben Lomax Thorpe, and César Mardomingo Alonso. "ONTOLOGICAL GRAPH BASED MODELLING AND SIMULATION." In 12th Simulation Workshop. The Operational Research Society, 2025. https://doi.org/10.36819/sw25.021.

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We examine the benefits of using an ontology and knowledge graph (KG) approach in developing and maintaining discrete-event simulation (DES) models. Ontologies provide a standardised language, enabling a structured representation of domain knowledge and enhancing model accuracy, reliability, and knowledge transfer. Ontologies applied in Knowledge Graphs represent physical assets and processes, enabling the integration of diverse data sources, maintaining the model’s relevance. Together, they enable the creation of digital twins to support advanced analytics and informed decision-making. In con
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Balogh, Štefan, and Tibor Galko. "Integration of Results from Static and Dynamic Code Analysis into an Ontological Model." In 2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). IEEE, 2023. http://dx.doi.org/10.1109/idaacs58523.2023.10348799.

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Song, Lihong, Chin Wang Cheong, Kejing Yin, William K. Cheung, Benjamin C. M. Fung, and Jonathan Poon. "Medical Concept Embedding with Multiple Ontological Representations." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/641.

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Learning representations of medical concepts from the Electronic Health Records (EHR) has been shown effective for predictive analytics in healthcare. Incorporation of medical ontologies has also been explored to further enhance the accuracy and to ensure better alignment with the known medical knowledge. Most of the existing work assumes that medical concepts under the same ontological category should share similar representations, which however does not always hold. In particular, the categorizations in medical ontologies were established with various factors being considered. Medical concep
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Santos, Saulo Bruno Calixto, Victor Ströele, Regina Braga, and Célia Ghedini Ralha. "An Ontological Characterization for SBSI Research Topics." In Simpósio Brasileiro de Sistemas de Informação. Sociedade Brasileira de Computação, 2025. https://doi.org/10.5753/sbsi.2025.246617.

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Context: The Brazilian Information Systems (IS) community has grown in complexity involving different research topics. Characterizing the IS community research topics is vital to bringing knowledge to advance IS research maturity. Problem: The complexity, diversity, and plurality of research topics in IS present a challenging task involving collecting adequate data, analyzing, and exploring different techniques to understand the evolution in the area. Solution: Using research data published by the Brazilian Symposium on Information Systems (Simpósio Brasileiro de Sistemas de Informação - SBSI)
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Schroeder, Gustavo Lazarotto, Leonardo dos Santos Paula, Rosemary Francisco, and Jorge Luis Victória Barbosa. "A-Track: An Ontological Approach to Assisting Anxiety Management." In Simpósio Brasileiro de Computação Aplicada à Saúde. Sociedade Brasileira de Computação - SBC, 2025. https://doi.org/10.5753/sbcas.2025.6928.

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Anxiety, a natural survival mechanism, becomes chronic under modern stressors, escalating into chronic disorders with multifaceted health impacts. While early detection is crucial, healthcare systems struggle with scalability. This study introduces the A-Track Ontology, a digital tool designed to model anxiety through personalized context histories. Validated through logical consistency, domain coverage, and utility assessments, the ontology synthesizes multimodal data into actionable insights for proactive intervention. Integrating ontological reasoning with real-world context awareness, this
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Reports on the topic "Ontological Data Model"

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Borgwardt, Stefan, and Walter Forkel. Closed-World Semantics for Conjunctive Queries with Negation over ELH⊥ Ontologies. Technische Universität Dresden, 2019. http://dx.doi.org/10.25368/2023.222.

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Ontology-mediated query answering is a popular paradigm for enriching answers to user queries with background knowledge. For querying the absence of information, however, there exist only few ontology-based approaches. Moreover, these proposals conflate the closed-domain and closed-world assumption, and therefore are not suited to deal with the anonymous objects that are common in ontological reasoning. We propose a new closed-world semantics for answering conjunctive queries with negation over ontologies formulated in the description logic ELH⊥, which is based on the minimal canonical model.
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You might also be interested in the extended bibliographies on the topic 'Ontological Data Model' for particular source types:
Journal articles
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