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Journal articles on the topic 'Semantic data management'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Krummenacher, Reto, Karl Aberer, Atanas Kiryakov, and Rajaraman Kanagasabai. "Workshop on semantic data management." ACM SIGMOD Record 39, no. 3 (2011): 24–26. http://dx.doi.org/10.1145/1942776.1942784.

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2

Navas-Delgado, Ismael, and Jose Aldana-Montes. "Extending SD-Core for Ontology-based Data Integration." JUCS - Journal of Universal Computer Science 15, no. (17) (2009): 3201–30. https://doi.org/10.3217/jucs-015-17-3201.

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This paper describes the main elements of a functional platform for building Semantic Web Applications, the Semantic Directory (additional information can be found at http://khaos.uma.es/SD-Core). A Semantic Directory provides a resource directory, in which web resources are registered and their semantics published. Using the Semantic Directories we provide a solution for publishing the semantics of resources, and interoperating them with some other applications in the same or different domains. The main idea behind this proposal is to help developers build Semantic Web applications by providi

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Hitzler, Pascal, Krzysztof Janowicz, Ajay Sharda, and Cogan Shimizu. "Advancing agriculture through semantic data management." Semantic Web 12, no. 4 (2021): 543–45. http://dx.doi.org/10.3233/sw-210433.

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Zhou, Lin Hua, Jian Bo Fan, and Ke Jia He. "SWBDS: Web Data Sources Management Infrastructure for Semantic Web Applications." Advanced Materials Research 186 (January 2011): 438–42. http://dx.doi.org/10.4028/www.scientific.net/amr.186.438.

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The Semantic Web envisions a World Wide Web in which datasources are encapsulated and described with rich semantics, and demander can issue complex queries. A critical problem in the situation is how to efficiently describe, organize and search these encapsulated datasources. This paper describes the Semantic Web-Based Data service(SWBDS for short) approach, which addresses these challenges. SWBDS introduces an ontology-based approach to, mapping web data sources to data service (DS for short), publishing DS with the shared domain ontology, and answering queries through DS provided interface.

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Kasrin, Nasr, Maliha Qureshi, Simon Steuer, and Daniela Nicklas. "Semantic Data Management for Experimental Manufacturing Technologies." Datenbank-Spektrum 18, no. 1 (2018): 27–37. http://dx.doi.org/10.1007/s13222-018-0274-0.

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Potter, W. D., R. P. Trueblood, and C. M. Eastman. "Hyper-semantic data modeling." Data & Knowledge Engineering 4, no. 1 (1989): 69–90. http://dx.doi.org/10.1016/0169-023x(89)90005-0.

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Lampa, Samuel, Egon Willighagen, Pekka Kohonen, et al. "RDFIO: extending Semantic MediaWiki for interoperable biomedical data management." Journal of Biomedical Semantics 8, no. 1 (2017): 35. https://doi.org/10.1186/s13326-017-0136-y.

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<strong>Background: </strong>Biological sciences are characterised not only by an increasing amount but also the extreme complexity of its data. This stresses the need for efficient ways of integrating these data in a coherent description of biological systems. In many cases, biological data needs organization before integration. This is not seldom a collaborative effort, and it is thus important that tools for data integration support a collaborative way of working. Wiki systems with support for structured semantic data authoring, such as Semantic MediaWiki, provide a powerful solution for co

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Balaji V, Purnendu Bikash Acharjee, Muniyandy Elangovan, Gauri Kalnoor, Ravi Rastogi, and Vishnu Patidar. "Developing a semantic framework for categorizing IoT agriculture sensor data: A machine learning and web semantics approach." Scientific Temper 14, no. 04 (2023): 1332–38. http://dx.doi.org/10.58414/scientifictemper.2023.14.4.40.

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This study introduces a Semantic Framework for Categorizing IoT Agriculture Sensor Data, leveraging Machine Learning and Web Semantics. IoT sensors in agriculture generate vast real-time data on crucial factors like soil conditions and weather, promising optimization in resource use and crop yields. While machine learning aids data categorization, semantic aspects often remain unexplored. By combining machine learning with web semantics (RDF and OWL), this research establishes a structured framework that not only categorizes data but also links it to actionable farming recommendations. Methodo

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Liu, Jun Qiang, and Xiao Ling Guan. "Semantic Data Management in PDM System Based on Object Deputy Model." Applied Mechanics and Materials 48-49 (February 2011): 1024–27. http://dx.doi.org/10.4028/www.scientific.net/amm.48-49.1024.

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Semantic data management is a key issue in PDM (product data management) system. Traditional PDM system is not suitable for complex semantic data management. Moreover, most of the PDM systems cannot provide efficient semantic search over database. In this paper, we present a data warehouse which adopts the object deputy model to store semantic product data. Most important of all, we can provide more convenient and efficient semantic search for users. The experiment results show that our approach is more feasible and efficient than the traditional one.

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Stylianos, Sideridis, Pelekis Nikos, and Theodoridis Yannis. "On querying and mining semantic-aware mobility timelines." International Journal of Data Science and Analytics 2, no. 1-2 (2016): 29–44. https://doi.org/10.1007/s41060-016-0030-1.

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The explosion of available positioning information associated with the inferred or user-declared semantics of the respective locations has contributed in what is called the Big Data era by posing new challenges to the mobility data management and mining research community. Motivated by a series of challenges posed in Pelekis et al. (SIGKDD Explor 15(1):23–32, 2013), in this paper, we present a unified framework for the management and the analysis of LifeSteps, i.e., data objects about human mobility including both (raw) spatio-temporal trajectories and their semantic counterpart. In particular

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11

Zhang, Lin. "Web-Based Data Translation for a Resource Management Grid." Advanced Materials Research 989-994 (July 2014): 4379–82. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.4379.

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Grid environment as the cross field of semantic web and grid computing, has received significant attention recently. Our workgroup develops a resource management semantic grid named RM-Grid to enhance information process accuracy and efficiency in heterogeneity environment. This paper describes the architecture of RM-grid, mainly introduces the data translation service of RM-Grid. It puts forward an ontology based common semantic model and an XML based data model, presents the data translation algorithm between different data sources and an adapter framework for accessing distributed heterogen

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Kocsis, Imre, and András Pataricza. "Semantic Data Management in IT Service Performance Assurance." Periodica Polytechnica Electrical Engineering and Computer Science 63, no. 4 (2019): 282–94. http://dx.doi.org/10.3311/ppee.13305.

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In today's dynamic and highly composed environments, IT service performance and dependability assurance require efficient reasoning about the performance and dependability effects of faults and the countermeasures to choose, using limited knowledge. Model- and observation-based qualitative error propagation analysis methods can be applied to this end; however, providing support for the human, as well as conceptually structured machine interpretation of sets of competing error propagation hypotheses is an open problem. This paper proposes the application of Formal Concept Analysis (FCA) for the

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13

Wang, Kai. "Improving Engineering Data Management with Semantic Web Techniques." Journal of Service Science and Management 01, no. 03 (2008): 199–205. http://dx.doi.org/10.4236/jssm.2008.13021.

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14

Keator, David B., Jinran Chen, Nolan Nichols, et al. "A Semantic Cross-Species Derived Data Management Application." Data Science Journal 16 (September 20, 2017): 45. http://dx.doi.org/10.5334/dsj-2017-045.

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DU, Xiao-Yong, Yan WANG, and Bin LÜ. "Research and Development on Semantic Web Data Management." Journal of Software 20, no. 11 (2009): 2950–64. http://dx.doi.org/10.3724/sp.j.1001.2009.03678.

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16

Aufaure, Marie-Aude, Raja Chiky, Olivier Curé, Houda Khrouf, and Gabriel Kepeklian. "From Business Intelligence to semantic data stream management." Future Generation Computer Systems 63 (October 2016): 100–107. http://dx.doi.org/10.1016/j.future.2015.11.015.

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17

Hoseini, Sayed, Johannes Theissen-Lipp, and Christoph Quix. "A survey on semantic data management as intersection of ontology-based data access, semantic modeling and data lakes." Journal of Web Semantics 81 (July 2024): 100819. http://dx.doi.org/10.1016/j.websem.2024.100819.

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18

Jiang, Xiaobo. "Intelligent Classification Method of Archive Data Based on Multigranular Semantics." Computational Intelligence and Neuroscience 2022 (May 14, 2022): 1–9. http://dx.doi.org/10.1155/2022/7559523.

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With the rapid development of information technology, the amount of data in various digital archives has exploded. How to reasonably mine and analyze archive data and improve the effect of intelligent management of newly included archives has become an urgent problem to be solved. The existing archival data classification method is manual classification oriented to management needs. This manual classification method is inefficient and ignores the inherent content information of the archives. In addition, for the discovery and utilization of archive information, it is necessary to further explo

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Min, Lingtong, Koray Atalag, Qi Tian, Yani Chen, and Xudong Lu. "Verifying the Feasibility of Implementing Semantic Interoperability in Different Countries Based on the OpenEHR Approach: Comparative Study of Acute Coronary Syndrome Registries." JMIR Medical Informatics 9, no. 10 (2021): e31288. http://dx.doi.org/10.2196/31288.

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Background The semantic interoperability of health care information has been a critical challenge in medical informatics and has influenced the integration, sharing, analysis, and use of medical big data. International standard organizations have developed standards, approaches, and models to improve and implement semantic interoperability. The openEHR approach—one of the standout semantic interoperability approaches—has been implemented worldwide to improve semantic interoperability based on reused archetypes. Objective This study aimed to verify the feasibility of implementing semantic inter

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Fathima Shah, Wasim. "Bridging the Gap in Integrated Care: A Semantic Medical Data Management Framework Leveraging Linked Data and FHIR Standards." International Journal of Science and Research (IJSR) 12, no. 5 (2023): 1972–82. http://dx.doi.org/10.21275/sr23522054732.

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21

Maué, Patrick, and Sven Schade. "Data Integration in the Geospatial Semantic Web." Journal of Cases on Information Technology 11, no. 4 (2009): 100–122. http://dx.doi.org/10.4018/jcit.2009072105.

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Geospatial decision makers have to be aware of the varying interests of all stakeholders. One crucial task in the process is to identify relevant information available from the Web. In this chapter the authors introduce an application in the quarrying domain which integrates Semantic Web technologies to provide new ways to discover and reason about relevant information. The authors discuss the daily struggle of the domain experts to create decision-support maps helping to find suitable locations for opening up new quarries. After explaining how semantics can help these experts, they introduce

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Koswatte, S., K. Mcdougall, and X. Liu. "SEMANTIC LOCATION EXTRACTION FROM CROWDSOURCED DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 543–47. http://dx.doi.org/10.5194/isprs-archives-xli-b2-543-2016.

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Crowdsourced Data (CSD) has recently received increased attention in many application areas including disaster management. Convenience of production and use, data currency and abundancy are some of the key reasons for attracting this high interest. Conversely, quality issues like incompleteness, credibility and relevancy prevent the direct use of such data in important applications like disaster management. Moreover, location information availability of CSD is problematic as it remains very low in many crowd sourced platforms such as Twitter. Also, this recorded location is mostly related to t

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Koswatte, S., K. Mcdougall, and X. Liu. "SEMANTIC LOCATION EXTRACTION FROM CROWDSOURCED DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 543–47. http://dx.doi.org/10.5194/isprsarchives-xli-b2-543-2016.

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Crowdsourced Data (CSD) has recently received increased attention in many application areas including disaster management. Convenience of production and use, data currency and abundancy are some of the key reasons for attracting this high interest. Conversely, quality issues like incompleteness, credibility and relevancy prevent the direct use of such data in important applications like disaster management. Moreover, location information availability of CSD is problematic as it remains very low in many crowd sourced platforms such as Twitter. Also, this recorded location is mostly related to t

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Jajaga, Edmond, and Lule Ahmedi. "C-SWRL: A Unique Semantic Web Framework for Reasoning Over Stream Data." International Journal of Semantic Computing 11, no. 03 (2017): 391–409. http://dx.doi.org/10.1142/s1793351x17400165.

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The synergy of Data Stream Management Systems and Semantic Web applications has steered towards a new paradigm known as Stream Reasoning. The Semantic Web standards for knowledge base modeling and querying, namely RDF, OWL and SPARQL, has extensively been used by the Stream Reasoning community. However, the Semantic Web rule languages, such as SWRL and RIF, have never been used in stream data applications. Instead, different non-Semantic Web rule systems have been approached. Since RIF is primarily intended for exchanging rules among systems, we focused on SWRL applications with stream data. T

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25

Nazarenko, Artem A., Joao Sarraipa, Luis M. Camarinha-Matos, Oscar Garcia, and Ricardo Jardim-Goncalves. "Semantic Data Management for a Virtual Factory Collaborative Environment." Applied Sciences 9, no. 22 (2019): 4936. http://dx.doi.org/10.3390/app9224936.

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Recent developments in the area of cyber-physical systems (CPSs) and Internet of Things (IoT) are among the drivers for the emergence of the Industry 4.0 concept, setting new requirements for the architecture, technology, and design approaches of modern industrial systems. Industry 4.0 assumes a higher level of intelligence, and thus autonomy of the systems and subsystems, and a larger focus on the analysis of gathered data for further utilization. The Virtual Factory Open Operating System (vf-OS) project is intended to respond to some of these key challenges, in particular for the smart facto

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Clark, Tim, and Laura Cassani. "Semantic Knowledge Management and Linked Data for Humanitarian Assistance." Procedia Engineering 78 (2014): 134–42. http://dx.doi.org/10.1016/j.proeng.2014.07.049.

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27

Eck, Oliver, and Dirk Schaefer. "A semantic file system for integrated product data management." Advanced Engineering Informatics 25, no. 2 (2011): 177–84. http://dx.doi.org/10.1016/j.aei.2010.08.005.

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28

Da Silva, Douglas, Mírian Bruckschen, Paulo Bridi, et al. "Semantic Web and Knowledge Management in User Data Privacy." Revista de Informática Teórica e Aplicada 16, no. 2 (2010): 69–70. http://dx.doi.org/10.22456/2175-2745.12572.

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29

Chen, Zhiyuan, Arrya Gangopadhyay, Stephen H. Holden, George Karabatis, and Michael P. McGuire. "Semantic integration of government data for water quality management." Government Information Quarterly 24, no. 4 (2007): 716–35. http://dx.doi.org/10.1016/j.giq.2007.04.004.

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30

Kim, Hyung-Yong, Sang-Min Lee, Ga-Hee Shin, et al. "Semantic data integration for toxicogenomic laboratory experiment management systems." Toxicology and Environmental Health Sciences 3, no. 3 (2011): 135–43. http://dx.doi.org/10.1007/s13530-011-0091-4.

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31

Occa, Edoardo. "Outlining a ‘Semantic Anthropology of Data Science’." Anthropology in Action 30, no. 3 (2023): 40–48. http://dx.doi.org/10.3167/aia.2023.300305.

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Abstract This work intends to describe the humanitarian response to the cholera epidemic carried out by the international health non-governmental organisation Doctors with Africa CUAMM in the provinces of Zambezia, Sofala and Tete in Mozambique. The knowledge and practices of applied medical anthropology have proved to be fundamental in the management of prevention and monitoring activities in homes where cases of cholera have been identified and confirmed. The collection and management of data relating to the epidemiological curve has represented a challenge in the field and pose considerable

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Xu, Xianghong, Xiao He, Tieying Zhang, Lei Zhang, Rui Shi, and Jianjun Chen. "PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models." Proceedings of the ACM on Management of Data 3, no. 3 (2025): 1–28. https://doi.org/10.1145/3725336.

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Number of Distinct Values (NDV) estimation of a multiset/column is a basis for many data management tasks, especially within databases. Despite decades of research, most existing methods require either a significant amount of samples through uniform random sampling or access to the entire column to produce estimates, leading to substantial data access costs and potentially ineffective estimations in scenarios with limited data access. In this paper, we propose leveraging semantic information, i.e., schema, to address these challenges. The schema contains rich semantic information that can bene

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TRISHIN, ALEXEY. "MATH METHODS AND MODELS OF PRODUCTS KNOWLEDGE MANAGEMENT." Computational Nanotechnology 9, no. 4 (2022): 35–41. http://dx.doi.org/10.33693/2313-223x-2022-9-4-35-41.

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The purpose of this research work is to review the existing literature on methods and solutions to the problem of efficient storage and processing of semi-structured semantic information, including in the field of product knowledge management. At the beginning of the article, the rationale for the relevance of the study is given, then it discusses possible ways to build an ontology of semantic networks, various types of knowledge representation, a stack of possible technologies on which such networks can potentially be implemented. An explanation of the semantics, ways to search for informatio

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Di Iorio, Angela, and Marco Schaerf. "Expressing the Tacit Knowledge of a Digital Library System as Linked Data." Computers 8, no. 2 (2019): 49. http://dx.doi.org/10.3390/computers8020049.

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Library organizations have enthusiastically undertaken semantic web initiatives and in particular the data publishing as linked data. Nevertheless, different surveys report the experimental nature of initiatives and the consumer difficulty in re-using data. These barriers are a hindrance for using linked datasets, as an infrastructure that enhances the library and related information services. This paper presents an approach for encoding, as a Linked Vocabulary, the “tacit” knowledge of the information system that manages the data source. The objective is the improvement of the interpretation

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Ivanov, Nikolay. "Analysis of the Data Using a Semantic Network as a Tool for Management Non-Conformities in Quality Management System." Modern Applied Science 10, no. 1 (2015): 47. http://dx.doi.org/10.5539/mas.v10n1p47.

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The article discusses the use of a semantic network in a management of nonconformities in quality management systems. It describes basic network elements and their mapping to basic concepts of the management of nonconformities. The author gives an example of a fragment of the semantic network to illustrate the visual representation of management of nonconformities data detected in practice of real construction organization. The article includes the block diagram of algorithm, which shows how to add a new node-nonconformity into the semantic network.

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Leiva-Mederos, Amed, Jose A. Senso, Yusniel Hidalgo-Delgado, and Pedro Hipola. "Working framework of semantic interoperability for CRIS with heterogeneous data sources." Journal of Documentation 73, no. 3 (2017): 481–99. http://dx.doi.org/10.1108/jd-07-2016-0091.

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Purpose Information from Current Research Information Systems (CRIS) is stored in different formats, in platforms that are not compatible, or even in independent networks. It would be helpful to have a well-defined methodology to allow for management data processing from a single site, so as to take advantage of the capacity to link disperse data found in different systems, platforms, sources and/or formats. Based on functionalities and materials of the VLIR project, the purpose of this paper is to present a model that provides for interoperability by means of semantic alignment techniques and

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Stamatiadou, Marina Eirini, Iordanis Thoidis, Nikolaos Vryzas, Lazaros Vrysis, and Charalampos Dimoulas. "Semantic Crowdsourcing of Soundscapes Heritage: A Mojo Model for Data-Driven Storytelling." Sustainability 13, no. 5 (2021): 2714. http://dx.doi.org/10.3390/su13052714.

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The current paper focuses on the development of an enhanced Mobile Journalism (MoJo) model for soundscape heritage crowdsourcing, data-driven storytelling, and management in the era of big data and the semantic web. Soundscapes and environmental sound semantics have a great impact on cultural heritage, also affecting the quality of human life, from multiple perspectives. In this view, context- and location-aware mobile services can be combined with state-of-the-art machine and deep learning approaches to offer multilevel semantic analysis monitoring of sound-related heritage. The targeted util

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Elkhodr, Mahmoud, Samiya Khan, and Ergun Gide. "A Novel Semantic IoT Middleware for Secure Data Management: Blockchain and AI-Driven Context Awareness." Future Internet 16, no. 1 (2024): 22. http://dx.doi.org/10.3390/fi16010022.

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In the modern digital landscape of the Internet of Things (IoT), data interoperability and heterogeneity present critical challenges, particularly with the increasing complexity of IoT systems and networks. Addressing these challenges, while ensuring data security and user trust, is pivotal. This paper proposes a novel Semantic IoT Middleware (SIM) for healthcare. The architecture of this middleware comprises the following main processes: data generation, semantic annotation, security encryption, and semantic operations. The data generation module facilitates seamless data and event sourcing,

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Llaves, Alejandro, Oscar Corcho, Peter Taylor, and Kerry Taylor. "Enabling RDF Stream Processing for Sensor Data Management in the Environmental Domain." International Journal on Semantic Web and Information Systems 12, no. 4 (2016): 1–21. http://dx.doi.org/10.4018/ijswis.2016100101.

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This paper presents a generic approach to integrate environmental sensor data efficiently, allowing the detection of relevant situations and events in near real-time through continuous querying. Data variety is addressed with the use of the Semantic Sensor Network ontology for observation data modelling, and semantic annotations for environmental phenomena. Data velocity is handled by distributing sensor data messaging and serving observations as RDF graphs on query demand. The stream processing engine presented in the paper, morph-streams++, provides adapters for different data formats and di

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Colomo-Palacios, Ricardo, José Luis Sánchez-Cervantes, Giner Alor-Hernández, and Alejandro Rodríguez-González. "Linked Data." International Journal of Human Capital and Information Technology Professionals 3, no. 3 (2012): 1–12. http://dx.doi.org/10.4018/jhcitp.2012070101.

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The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. To make the Semantic Web or Web of Data a reality, it is necessary to have a large volume of data available in a standard, reachable, and manageable format. This collection of interrelated data on the Web can also be referred to as Linked Data. Linked Data is the large scale integration of, and reasoning on, data on the Web. Supporting the adoption of semantic Web technologies, there exist tools oriented to creation, publication, and management of data

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Li, W., S. Zlatanova, and B. Gorte. "VOXEL DATA MANAGEMENT AND ANALYSIS IN POSTGRESQL/POSTGIS UNDER DIFFERENT DATA LAYOUTS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences VI-3/W1-2020 (November 17, 2020): 35–42. http://dx.doi.org/10.5194/isprs-annals-vi-3-w1-2020-35-2020.

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Abstract. Three-dimensional (3D) raster data (also named voxel) is important sources for 3D geo-information applications, which have long been used for modelling continuous phenomena such as geological and medical objects. Our world can be represented in voxels by gridding the 3D space and specifying what each grid represents by attaching every voxel to a real-world object. Nature-triggered disasters can also be modelled in volumetric representation. Unlike point cloud, it is still a lack of wide research on how to efficiently store and manage such semantic 3D raster data. In this work, we wou

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42

Greenhill, Stewart, and Svetha Venkatesh. "Semantic data modelling and visualisation using Noetica." Data & Knowledge Engineering 33, no. 3 (2000): 241–76. http://dx.doi.org/10.1016/s0169-023x(00)00003-3.

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Barati, Molood, Quan Bai, and Qing Liu. "Mining semantic association rules from RDF data." Knowledge-Based Systems 133 (October 2017): 183–96. http://dx.doi.org/10.1016/j.knosys.2017.07.009.

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Nebot, Victoria, and Rafael Berlanga. "Finding association rules in semantic web data." Knowledge-Based Systems 25, no. 1 (2012): 51–62. http://dx.doi.org/10.1016/j.knosys.2011.05.009.

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45

Pereira, Arnaldo, João Rafael Almeida, Rui Pedro Lopes, and José Luís Oliveira. "Semantic Data Visualisation for Biomedical Database Catalogues." Healthcare 10, no. 11 (2022): 2287. http://dx.doi.org/10.3390/healthcare10112287.

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Biomedical databases often have restricted access policies and governance rules. Thus, an adequate description of their content is essential for researchers who wish to use them for medical research. A strategy for publishing information without disclosing patient-level data is through database fingerprinting and aggregate characterisations. However, this information is still presented in a format that makes it challenging to search, analyse, and decide on the best databases for a domain of study. Several strategies allow one to visualise and compare the characteristics of multiple biomedical

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El-Mahgary, Sami, Juho-Pekka Virtanen, and Hannu Hyyppä. "A Simple Semantic-Based Data Storage Layout for Querying Point Clouds." ISPRS International Journal of Geo-Information 9, no. 2 (2020): 72. http://dx.doi.org/10.3390/ijgi9020072.

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The importance of being able to separate the semantics from the actual (X,Y,Z) coordinates in a point cloud has been actively brought up in recent research. However, there is still no widely used or accepted data layout paradigm on how to efficiently store and manage such semantic point cloud data. In this paper, we present a simple data layout that makes use the semantics and that allows for quick queries. The underlying idea is especially suited for a programming approach (e.g., queries programmed via Python) but we also present an even simpler implementation of the underlying technique on a

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Abedjan, Ziawasch. "Enabling data-centric AI through data quality management and data literacy." it - Information Technology 64, no. 1-2 (2022): 67–70. http://dx.doi.org/10.1515/itit-2021-0048.

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Abstract Data is being produced at an intractable pace. At the same time, there is an insatiable interest in using such data for use cases that span all imaginable domains, including health, climate, business, and gaming. Beyond the novel socio-technical challenges that surround data-driven innovations, there are still open data processing challenges that impede the usability of data-driven techniques. It is commonly acknowledged that overcoming heterogeneity of data with regard to syntax and semantics to combine various sources for a common goal is a major bottleneck. Furthermore, the quality

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Traxler, Barbara, Emmanuel Helm, Oliver Krauss, Andreas Schuler, and Josef Kueng. "Towards Semantic Interoperability in Health Data Management Facilitating Process Mining." International Journal of Privacy and Health Information Management 6, no. 2 (2018): 1–12. http://dx.doi.org/10.4018/ijphim.2018070101.

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As an evidence-based business process analysis method, process mining can be used to investigate variations in delivery of care. Existing approaches are only based on one data source. A variety of data sources means different domain languages and understanding, special processes workflows in various organizations, varying documentation with different goals and different designations and varying use of coding systems. This article describes a modular, rule-based information extraction algorithm based on CDA and compares it to a proprietary healthcare reference model approach and a resource-base

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Abburu, Sunitha, and Nitant Dube. "Ontology Concept-Based Management and Semantic Retrieval of Satellite Data." Journal of Intelligent Systems 26, no. 2 (2017): 197–213. http://dx.doi.org/10.1515/jisys-2015-0082.

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AbstractSeveral satellite data receiving and distributing centers across the world support data storage, processing, and retrieval based on satellite, sensor, product, latitude, longitude, date and time, etc. These systems address queries on satellite products that are mostly high-level concepts. A more sophisticated retrieval system that supports ontological concepts, subconcepts, and concept hierarchical queries delivers refined results that broaden the scientific horizon of the application domain. To achieve this, the current research designed and implemented an ontology concept-based satel

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Wang, Bing, Paul A. Dobosh, Stuart Chalk, Mirek Sopek, and Neil S. Ostlund. "Computational Chemistry Data Management Platform Based on the Semantic Web." Journal of Physical Chemistry A 121, no. 1 (2016): 298–307. http://dx.doi.org/10.1021/acs.jpca.6b10489.

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