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Journal articles on the topic 'Semantic technologies'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Gorodetsky, V. I., and O. N. Tushkanova. "Semantic Technologies for Semantic Applications. Part 1. Basic Components of Semantic Technologies." Scientific and Technical Information Processing 46, no. 5 (2019): 306–13. http://dx.doi.org/10.3103/s0147688219050022.

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Gorodetsky, V. I., and O. N. Tushkanova. "Semantic Technologies for Semantic Applications. Part 2. Models of Comparative Text Semantics." Scientific and Technical Information Processing 47, no. 6 (2020): 365–73. http://dx.doi.org/10.3103/s0147688220060027.

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3

Ferguson, Jon C. "Semantic Web Technologies." Journal of Electronic Resources in Medical Libraries 4, no. 1-2 (2007): 113–25. http://dx.doi.org/10.1300/j383v04n01_11.

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4

Minakshi, Sharma *. Chanda Monga Sakshi Kalra. "SEMANTIC WEB TECHNOLOGIES: AN OVERVIEW." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 1 (2017): 353–55. https://doi.org/10.5281/zenodo.259583.

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The term “Semantic Web” is often used more specifically to refer to the formats and technologies that enable it . These technologies include the Resource Description Framework (RDF), a variety of data substitution formats, and notations such as RDF Schema and the Web Ontology Language, all of which are intended to provide a formal description of concepts, terms, and relationships within a given knowledge domain. In the last decade the increasing popularity of the World Wide Web has lead to an exponential growth in the number of pages available on the Web. This huge number of Web pages makes

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El Guemhioui, Karim, and Steven A. Demurjian. "Semantic Reconciliation of Electronic Health Records Using Semantic Web Technologies." International Journal of Information Technology and Web Engineering 12, no. 2 (2017): 26–48. http://dx.doi.org/10.4018/ijitwe.2017040102.

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In this paper, the authors present an approach to reconcile the semantics of distinct medical terms found in personal health records (PHRs - that store data controlled by patients) and electronic medical records (EMRs - that store data controlled by providers) that are utilized to describe the same concept in different systems. The authors present a solution for semantic reconciliation based on RDF and related semantic web technologies. As part of the solution, the authors utilize a centralized repository of ontologies to: uniformly interrogate the medical coding systems in which those terms a

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Mahridawati, Mahridawati. "PERGESERAN SEMANTIK/SEMANTIC SHIFTING." Al-Fathin: Jurnal Bahasa dan Sastra Arab 1, no. 01 (2018): 52. http://dx.doi.org/10.32332/al-fathin.v1i01.1191.

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Semantics in this case take a great role to decipher the meanings of the sign language. In this universe, the signs of language have undergone changes that result in semantic shifting 'semantic shift'. The semantic shift, hereinafter referred to as the change of meaning, is not a coincidence, it is all the causes of the change. The changes that occur in the sign language synergize with the developments that occur in this universe. The development of technology and human culture can not be denied has contributed to the change of meaning. Many signs that initially have no meaning that refers to

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Smt., Maheshwari. S. Hiremath. ""A Concentrate on Semantic Web Dialects and Technologies"." International Journal of Advance and Applied Research 4, no. 27 (2023): 18–24. https://doi.org/10.5281/zenodo.8261866.

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The World Wide Web (WWW) has changed the way people communicate, and the way information is disseminated and recovered. The word Semantic Web encompasses technologies that promise to greatly improve the current World Wide Web and its use. The Semantic Web is evolving rapidly in modern times with the improvement of technology from time to time. Semantics the network is promoted by the World Wide Web Consortium (W3C), the international standards organization for the web. The Semantic Web aims to help users better find, organize, and access information on the web. Normal language should be utiliz

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Lazarinis, Fotis. "Cultural data and semantic technologies." Electronic Library 30, no. 5 (2012): 653–70. http://dx.doi.org/10.1108/02640471211275701.

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Caliusco, Maria Laura, Maria Rosa Galli, and Omar Chiotti. "Technologies for data semantic modelling." International Journal of Metadata, Semantics and Ontologies 1, no. 4 (2006): 322. http://dx.doi.org/10.1504/ijmso.2006.012955.

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10

Baader, Franz, Stefan Borgwardt, Patrick Koopmann, Veronika Thost, and Anni-Yasmin Turhan. "Semantic Technologies for Situation Awareness." KI - Künstliche Intelligenz 34, no. 4 (2020): 543–50. http://dx.doi.org/10.1007/s13218-020-00694-3.

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AbstractThe project “Semantic Technologies for Situation Awareness” was concerned with detecting certain critical situations from data obtained by observing a complex hard- and software system, in order to trigger actions that allow this system to save energy. The general idea was to formalize situations as ontology-mediated queries, but in order to express the relevant situations, both the employed ontology language and the query language had to be extended. In this paper we sketch the general approach and then concentrate on reporting the formal results obtained for reasoning in these extens

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HAMLEN, KEVIN W., and BHAVANI THURAISINGHAM. "SECURE SEMANTIC COMPUTING." International Journal of Semantic Computing 05, no. 02 (2011): 121–31. http://dx.doi.org/10.1142/s1793351x11001201.

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This paper explores the integration of semantic computing technologies with security technologies. Past and current research on the application of semantic web technologies for policy management and inference control, the application of data mining technologies for intrusion and malware detection, and programming language-based approaches to mobile code certification and data confidentiality enforcement are discussed.

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12

Bürger, Tobias. "The Need for Formalizing Media Semantics in the Games and Entertainment Industry." JUCS - Journal of Universal Computer Science 14, no. (10) (2008): 1775–91. https://doi.org/10.3217/jucs-014-10-1775.

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The digital media and games industry is one of the biggest IT based indus-tries worldwide. Recent observations therein showed that current production workflows may be potentially improved as multimedia objects are mostly created from scratch due to insu±cient reusability capacities of existing tools. In this paper we provide reasons for that, provide a potential solution based on semantic technologies, show the potential of ontologies, and provide scenarios for the application of semantic technologies in the digital media and games industry.

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Bouquet, Paolo, and Andrea Molinari. "A New Approach to the Use of Semantic Technologies in E-Learning Platforms." International Journal of Advanced Corporate Learning (iJAC) 9, no. 2 (2016): 5. http://dx.doi.org/10.3991/ijac.v9i2.5979.

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Semantic technologies have been studied and used in different areas of computer science. E-learning has been one of this, but the most frequent use of semantic technologies in this discipline has been in the extraction and indexing of contents, like forums, blogs, learning objects etc. The research presented in this paper aims at taking advantage of semantic technologies in a different way respect to the mainstream use that has been done in the past. This new approach refers to the use of semantic technologies in the management of the persistence layer of Learning Management Systems (LMS), i.e

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Maxutova, K., N. Saparkhojayev, D. Zhamangarin, V. Golenkov, and R. Niyazova. "KNOWLEDGE PROCESSING TECHNOLOGIES IN THE AREA OF COMPUTER SCIENCE." BULLETIN of D. Serikbayev EKTU 3 (September 30, 2024): 152–65. http://dx.doi.org/10.51885/1561-4212_2024_3_152.

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The research paper discusses the methods of creating, applying and analyzing knowledge bases with a description of subject areas. The methods considered apply an integrated approach to knowledge representation. We propose an approach to developing an intelligent system designed to tackle intricate problems. This approach is built upon semantic models of knowledge bases and coherent models of machines dedicated to processing these knowledge bases. The foundation for constructing these models lies in a unified semantic representation of knowledge, grounded in universal semantics with a theoretic

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Huang, Zhen Hua, and Qiang Fang. "Semantic-Driven Information Recommendation System." Applied Mechanics and Materials 475-476 (December 2013): 1226–29. http://dx.doi.org/10.4028/www.scientific.net/amm.475-476.1226.

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Information recommendation systems is the one of the most effective tools to solve the problem of information overload. In this paper, we design SIRSCA, a semantic-driven information recommendation system under cloud architecture. SIRSCA mainly includes four modules: semantics representation of foundation data and user preference informations; indexing mechanism of massive semantic informations under cloud architecture; recommendation approaches based on semantic computation theory; and technologies of dynamic migration under cloud architecture.

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Ma, Shang, and Qiong Liu. "Semantic localization." Encyclopedia with Semantic Computing and Robotic Intelligence 01, no. 01 (2017): 1630010. http://dx.doi.org/10.1142/s242503841630010x.

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Improvements in sensor and wireless network enable accurate, automated, instant determination and dissemination of a user’s or objects position. The new enabler of location-based services (LBSs) apart from the current ubiquitous networking infrastructure is the enrichment of the different systems with semantics information, such as time, location, individual capability, preference and more. Such semantically enriched system-modeling aims at developing applications with enhanced functionality and advanced reasoning capabilities. These systems are able to deliver more personalized services to us

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17

Janev, Valentina, Jovan Dudukovic, Jelena Jovanovic, and Sanja Vranes. "Web4WeB e-collaboration tools." Computer Science and Information Systems 6, no. 1 (2009): 141–68. http://dx.doi.org/10.2298/csis0901141j.

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This paper introduces and compares two innovative tools aimed at enhancing the collaborative work of the researchers and professionals from the West Balkan countries in the Semantic Web field. The first tool, the Alfresco system, is a version controlled content repository designed in REST architectural style and based on a set of document management and collaboration services. The Alfresco workflow engine enables organization and automation of the process activities. The second tool, the Semantic MediaWiki portal, is a semantic collaboration tool and knowledge management system that leverages

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18

Staykova, Kamenka. "Natural Language Generation and Semantic Technologies." Cybernetics and Information Technologies 14, no. 2 (2014): 3–23. http://dx.doi.org/10.2478/cait-2014-0015.

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Abstract The paper presents a survey of the domain of Natural Language Generation (NLG) with its models, techniques, applications, and investigates how the semantic technologies are drawn into text generation. The idea and facilities of Semantic Web initiative are discussed in connection with the new opportunities offered to the Natural Language Generation.

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19

Wiegand, Nancy, Dave Kolas, and Gary Berg-Cross. "Intersecting Semantic Web and Geospatial Technologies." Transactions in GIS 14, no. 2 (2010): 93–95. http://dx.doi.org/10.1111/j.1467-9671.2010.01184.x.

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20

Carmichael, P., and M. Tscholl. "Cases, simulacra, and Semantic Web technologies." Journal of Computer Assisted Learning 29, no. 1 (2011): 31–42. http://dx.doi.org/10.1111/j.1365-2729.2011.00459.x.

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21

Sure, York, and Rudi Studer. "Semantic Web technologies for digital libraries." Library Management 26, no. 4/5 (2005): 190–95. http://dx.doi.org/10.1108/01435120510596044.

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22

Ping, Zhang, Shi Guangming, Cui Shuguang, et al. "Semantic communications: Theories, technologies and applications." China Communications 21, no. 7 (2024): iii—vii. http://dx.doi.org/10.23919/jcc.2024.10606406.

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23

Chute, C. G. "Biosurveillance, Classification, and Semantic Health Technologies." Journal of the American Medical Informatics Association 15, no. 2 (2008): 172–73. http://dx.doi.org/10.1197/jamia.m2693.

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24

De Roure, David, and York Sure. "Semantic Grid—The convergence of technologies." Journal of Web Semantics 4, no. 2 (2006): 82–83. http://dx.doi.org/10.1016/j.websem.2006.03.004.

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25

Fornara, Nicoletta, and Charalampos Tampitsikas. "Semantic technologies for open interaction systems." Artificial Intelligence Review 39, no. 1 (2013): 63–79. http://dx.doi.org/10.1007/s10462-012-9390-7.

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26

Janev, Valentina, and Sanja Vraneš. "Applicability assessment of Semantic Web technologies." Information Processing & Management 47, no. 4 (2011): 507–17. http://dx.doi.org/10.1016/j.ipm.2010.11.002.

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27

Benjamins, V. Richard, John Davies, Ricardo Baeza-Yates, et al. "Near-Term Prospects for Semantic Technologies." IEEE Intelligent Systems 23, no. 1 (2008): 76–88. http://dx.doi.org/10.1109/mis.2008.10.

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28

Carvalho, Rodrigo, Michael Goldsmith, and Sadie Creese. "Investigating Malware Campaigns With Semantic Technologies." IEEE Security & Privacy 17, no. 1 (2019): 43–54. http://dx.doi.org/10.1109/msec.2018.2875878.

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29

Rinaldi, Antonio M. "Enabling semantic technologies using multimedia ontology." Encyclopedia with Semantic Computing and Robotic Intelligence 01, no. 01 (2017): 1630008. http://dx.doi.org/10.1142/s2425038416300081.

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The new vision of the Web as a global intelligent repository needs advanced knowledge structure to manage complex data and services. From this perspective, the use of formal models to represent information on the web is a suitable way to allow the cooperation of users and services. This paper describes a general ontological approach to represent knowledge using multimedia data and linguistic properties to bridge the gap between the target semantic classes and the available low-level multimedia descriptors. We choose to implement our approach in a system to edit, manage and share multimedia ont

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30

Janev, Valentina, and Sanja Vranes. "Semantic Web Technologies: Ready for Adoption?" IT Professional 11, no. 5 (2009): 8–16. http://dx.doi.org/10.1109/mitp.2009.107.

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31

Bergamaschi, Sonia, Francesco Guerra, Mirko Orsini, Claudio Sartori, and Maurizio Vincini. "A semantic approach to ETL technologies." Data & Knowledge Engineering 70, no. 8 (2011): 717–31. http://dx.doi.org/10.1016/j.datak.2011.03.003.

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32

Patel, Archana. "Semantic Technologies for Industrial 4.0 Applications." Current Materials Science 17, no. 1 (2023): 1. http://dx.doi.org/10.2174/266614541701230619125922.

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33

Kumar, Pilli Suresh. "Core Technologies in Semantic Search Engines." International Journal of Research and Innovation in Applied Science X, no. IV (2025): 287–97. https://doi.org/10.51584/ijrias.2025.10040023.

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Semantic search engines have revolutionized the way we retrieve information from the web by focusing on user intent and contextual meaning, rather than relying solely on keyword matching. This is enabled by core technologies like NLP, Knowledge Graphs, AI, ML. NLP helps search engines make sense of human language, allowing them to understand how words and phrases relate to each other. This utilizes Knowledge Graphs to improve search results, as this builds the data into relations, supplying the search engine with the ability to return more precise and contextual results. AI and ML algorithms w

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34

Rogushina, J. V., A. Y. Gladun, O. V. Anishchenko, and S. M. Pryima. "Semantic technologies as a tool of information support for professionalization of andragogues." PROBLEMS IN PROGRAMMING, no. 2-3 (September 2024): 441–48. https://doi.org/10.15407/pp2024.02-03.441.

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The article substantiates the expediency of using semantic technologies as a tool for professionalization of andragogues. Authors determine the basic preconditions that have an influence on the effectiveness of information support for the training and professional activity of andragogues. The clarity of the terminological apparatus in the field of learning and education of adults provides the basis for the further development of a formal model scheme of this subject area that interoperably fixes the various relations between concepts at the level of semantics. The online repository of relevant

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Ludwig, Lars, and David O'Sullivan. "Deploying Decision Support Systems Using Semantic Web Technologies." International Journal of Decision Support System Technology 2, no. 1 (2010): 49–59. http://dx.doi.org/10.4018/jdsst.2010101604.

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Decision support systems are deployed in a wide variety of business applications using a variety of core technologies and programming languages. One of the more promising technologies to evolve in recent year has been the semantic web. The semantic web aims to create more intelligent and machine readable web pages and online applications. The technologies, programming languages and methods of the semantic web are now maturing and standards have emerged that allow semantic web technology to be deployed broadly across information technology industry and the programming community in particular. T

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Vishniakou, U. A. "USE OF INTELLEGENT AND BLOCK CHAIN TECHNOLOGIES IN INFORMATION MANAGEMENT Minsk Innovation University." «System analysis and applied information science», no. 1 (June 12, 2018): 45–50. http://dx.doi.org/10.21122/2309-4923-2018-1-45-50.

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The aim of this work is the analysis of methods, approaches, technologies, means of information management (IM), using both conventional technologies and adding new intellectual and block chain. Trends in the use of intelligent technologies in information management are given. The developments in the field of intelligent agents based on semantic web, web-services and semantic web-services, the use of cloud computing (CC) are shown. The main ideas of semantic technologies, in which a page of the semantic network contains information in two languages: the natural and special, understood only by

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37

Repta, Dragos, Ioan Stefan Sacala, Mihnea Moisescu, and Aurelian Mihai Stanescu. "Semantic Middleware Architecture." Applied Mechanics and Materials 436 (October 2013): 488–96. http://dx.doi.org/10.4028/www.scientific.net/amm.436.488.

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Some of the most important features of future IT systems will come from the current research of Semantic Web technologies and distributed systems. Following this idea we set out to implement a middleware solution that builds upon the latest developments of research activity into Internet of Things and, more generally, context-aware systems. These directions where selected because they currently are the main drivers of the research into the applications of semantic technologies. Our focus was mainly on the aspects that we considered to be overlooked by other proposed semantic middleware solutio

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38

Rashid, Junaid, and Muhammad Wasif Nisar. "A Study on Semantic Searching, Semantic Search Engines and Technologies Used for Semantic Search Engines." International Journal of Information Technology and Computer Science 8, no. 10 (2016): 82–89. http://dx.doi.org/10.5815/ijitcs.2016.10.10.

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39

Lamharhar, Hind, Dalila Chiadmi, and Laila Benhlima. "How semantic technologies transform e-government domain." Transforming Government: People, Process and Policy 8, no. 1 (2014): 49–75. http://dx.doi.org/10.1108/tg-07-2013-0023.

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Purpose – In e-government domain, an efficient semantic interoperability of services is a big challenge. In this context, semantic technologies play a fundamental role in numerous e-government programs. Indeed, these technologies enable enriching the public service description provided by different public administrations with additional semantic information, which allows automatic services processing and information exchange between involved members in comprehensive and interpretable manner, thus facilitating service integration and cooperation. The most frequently used technologies in this ar

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40

Jahanshiri, E., and S. Walker. "Agricultural Knowledge-Based Systems at the Age of Semantic Technologies." International Journal of Knowledge Engineering-IACSIT 1, no. 1 (2015): 64–67. http://dx.doi.org/10.7763/ijke.2015.v1.11.

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Georgieva-Trifonova, Tsvetanka, Kaloyan Zdravkov, and Donika Valcheva. "Application of semantic technologies in bibliographic databases." Electronic Library 38, no. 1 (2019): 113–37. http://dx.doi.org/10.1108/el-03-2019-0081.

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Purpose The purpose of this paper is to summarize the current state of the existing research on the application of semantic technologies in bibliographic databases by providing answers to a set of research questions resulting from a systematic literature review. Design/methodology/approach The present study consists of conducting a systematic literature review of research works related to the application of semantic technologies in bibliographic databases. A manual keyword search is performed in known academic databases. As a result, a total of 78 literature sources are identified as related t

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42

Li, Jing, Akshat Gaurav, and Kwok Tai Chui. "Enhancing Class Management in Chinese Schools Through Semantic Web Technologies." International Journal on Semantic Web and Information Systems 19, no. 1 (2023): 1–14. http://dx.doi.org/10.4018/ijswis.328527.

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This paper explores the potential of utilizing semantic web technologies to improve class management in Chinese schools. By analyzing a comprehensive dataset obtained from the Scopus database, the study investigates publication trends, document types, keyword distributions, and author contributions in the field of semantic web technologies for class management. The findings reveal a growing interest in this research area and highlight the benefits of semantic web technologies in personalized learning, information retrieval, collaboration, and assessment. The paper discusses the practical impli

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43

Elsaleh, Tarek, Shirin Enshaeifar, Roonak Rezvani, Sahr Thomas Acton, Valentinas Janeiko, and Maria Bermudez-Edo. "IoT-Stream: A Lightweight Ontology for Internet of Things Data Streams and Its Use with Data Analytics and Event Detection Services." Sensors 20, no. 4 (2020): 953. http://dx.doi.org/10.3390/s20040953.

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With the proliferation of sensors and IoT technologies, stream data are increasingly stored and analysed, but rarely combined, due to the heterogeneity of sources and technologies. Semantics are increasingly used to share sensory data, but not so much for annotating stream data. Semantic models for stream annotation are scarce, as generally, semantics are heavy to process and not ideal for Internet of Things (IoT) environments, where the data are frequently updated. We present a light model to semantically annotate streams, IoT-Stream. It takes advantage of common knowledge sharing of the sema

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44

CHIANESE, ANGELO, ANNA RITA FASOLINO, VINCENZO MOSCATO, PORFIRIO TRAMONTANA, and MARIO CAROPRESO. "A NOVEL APPROACH FOR SEMANTIC INTEROPERABILITY IN THE WEB BASED ON THE SEMANTIC TRIANGLE COMMUNICATION MODEL." International Journal of Software Engineering and Knowledge Engineering 21, no. 07 (2011): 1037–73. http://dx.doi.org/10.1142/s0218194011005591.

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In this paper we propose a novel communication approach and a possible implementation of it that, exploiting the Semantic Web technologies, allows semantic interoperability among software agents in the Web, preserving not only the semantics but also the subjectivity of the agent's world vision in the communication. Such an approach takes advantage of a particular communication model called Semantic Triangle in which communication agents share the referents (real world objects) and not the concepts (mental image or impression of a real object from the sender agents point of view), thus ensuring

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45

Lobuzina, K. "Semantic web-technologies and library search systems." Biblioteki nacionalʹnyh akademij nauk, no. 18 (February 12, 2020): 125–49. http://dx.doi.org/10.15407/maan2020.18.125.

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46

Niemann, Magnus, Malgorzata Mochol, and Robert Tolksdorf. "Enhancing Hotel Search with Semantic Web Technologies." Journal of theoretical and applied electronic commerce research 3, no. 2 (2008): 82–96. http://dx.doi.org/10.4067/s0718-18762008000100008.

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47

Hreño, Ján, Peter Bednár, Karol Furdik, and Tomáš Sabol. "Integration of Government Services using Semantic Technologies." Journal of theoretical and applied electronic commerce research 6, no. 1 (2020): 143–54. http://dx.doi.org/10.4067/s0718-18762011000100010.

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48

Bybee, Karen. "Semantic Web Technologies for Smart-Oilfield Applications." Journal of Petroleum Technology 60, no. 10 (2008): 70–72. http://dx.doi.org/10.2118/1008-0070-jpt.

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49

Wimmer, Hayden, Victoria Yoon, and Roy Rada. "Applying Semantic Web Technologies to Ontology Alignment." International Journal of Intelligent Information Technologies 8, no. 1 (2012): 1–9. http://dx.doi.org/10.4018/jiit.2012010101.

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Ontologies are the backbone of intelligent computing on the World Wide Web but also crucial in many decision support situations. Many sophisticated tools have been developed to support working with ontologies, including prominently exploiting the vast array of existing ontologies. A system called ALIGN is developed that demonstrates how to use freely available tools to facilitate ontology alignment. First two ontologies are built with the ontology editor Protégé and represented in OWL. ALIGN then accesses these ontologies via Java’s JENA framework and SPARQL queries. The efficacy of the ALIGN

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Meroño-Peñuela, Albert, Ashkan Ashkpour, Marieke van Erp, et al. "Semantic technologies for historical research: A survey." Semantic Web 6, no. 6 (2014): 539–64. http://dx.doi.org/10.3233/sw-140158.

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