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Journal articles on the topic 'Semantic web technologies'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 November 2024

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1

Ferguson, Jon C. "Semantic Web Technologies." Journal of Electronic Resources in Medical Libraries 4, no. 1-2 (March 15, 2007): 113–25. http://dx.doi.org/10.1300/j383v04n01_11.

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2

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 (April 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 are defined, extract all of their published synonyms, and save the results as RDF triples. The final step in the process is to employ a reasoner to infer non-explicit synonymy among those terms, hence evidencing the underlying semantics to the PHR and EMR systems for possible further processing.
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Visser, Ubbo. "Semantic Web Reloaded: An Update on the Progress of Semantic Web technologies." KI - Künstliche Intelligenz 30, no. 2 (April 4, 2016): 109–12. http://dx.doi.org/10.1007/s13218-016-0433-0.

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

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Carmichael, P., and M. Tscholl. "Cases, simulacra, and Semantic Web technologies." Journal of Computer Assisted Learning 29, no. 1 (November 15, 2011): 31–42. http://dx.doi.org/10.1111/j.1365-2729.2011.00459.x.

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

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

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

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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 (January 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. This paper outlines a set of requirements for programmers considering the development of decision support systems using semantic web technology. Current strategies across the research community are surveyed that deploy semantic web applications. From the discussion of these strategies, ten basic requirements are derived. These requirements combine technological, psychological and philosophical research ideas. By crossing traditional research boundaries, a broad perspective on deploying decision support systems that utilize semantic web technologies is created.
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Zhang Wenyu, Yin Jianwei, Cai Ming, Wu Jian, and Lin Lanfen. "Manufacturing Deep Web Service Management: Exploring Semantic Web Technologies." IEEE Industrial Electronics Magazine 6, no. 2 (June 2012): 38–51. http://dx.doi.org/10.1109/mie.2012.2193293.

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Mall, Abhyas, Shoibam Amritraj, Nitish Hans, and J. Rakesh. "Semantic Web Application: Tourist Assisting Web Application." International Journal for Research in Applied Science and Engineering Technology 10, no. 10 (October 31, 2022): 1449–56. http://dx.doi.org/10.22214/ijraset.2022.47222.

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Abstract: In addition to traditional web technologies, semantic web technology allows the implementation of the "web of things" and "web of linked data," enabling both machines and humans to access the web. The ultimate objective is to allow machines to do increasingly complex tasks and to design systems that can support network interactions. This goal may be realized by merging several linked data technologies, such as RDF, SPARQL, OWL, and SKOS (W3C Org, 2014). In this project, the authors integrated semantic web technologies into the software to illustrate their use. This study describes in detail the design and functionality of the apps, as well as how the semantic web technology principles were implemented. The authors followed the principles and best practices outlined in W3C documents and directed by the first author. The authors exerted a great deal of work to evaluate the acquired data and have begun the project by locating suitable datasets from various data sources (heterogeneous data sources). Following this, more attempts were made to cleanse and verify the data. This generated dataset was subsequently pushed to the selected triple store on application start-up. The ontology design and project architecture are described in full in this study. The project's stack and implementation has been discussed in this report.
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Коновальчук, Е., E. Konoval'chuk, В. Лавлинский, V. Lavlinskiy, С. Яньшин, S. Yan'shin, И. Земцов, et al. "ALGORITHMS FOR COMBINING INFORMATION ABOUT WEB-PAGES WITH BACKGROUND ONTOLOGICAL KNOWLEDGE." Modeling of systems and processes 12, no. 2 (October 24, 2019): 32–37. http://dx.doi.org/10.12737/article_5db1e3e60bef13.23500137.

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Currently, web information technologies are widely developed on the basis of the development of approaches related to the addition of semantics to web data, and the development of the apparatus of semantic networks. This article proposes the development of methods of semantic information retrieval based on algorithms of its association. This approach allows to use the analysis of web-pages with background ontological knowledge and increases its efficiency in comparison with standard approaches.
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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 the latest Semantic Web (SW) technologies and standards. By using semantic annotations, it enriches the Web contents with semantics and makes the knowledge explicit. Thus, it provides structured access to information and accurate and precise knowledge retrieval. This paper discusses the customization of these tools and their utilization in the Web Technologies for West Balkan countries (Web4WeB) project.
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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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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 (August 2008): 82–96. http://dx.doi.org/10.4067/s0718-18762008000100008.

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Bybee, Karen. "Semantic Web Technologies for Smart-Oilfield Applications." Journal of Petroleum Technology 60, no. 10 (October 1, 2008): 70–72. http://dx.doi.org/10.2118/1008-0070-jpt.

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Wimmer, Hayden, Victoria Yoon, and Roy Rada. "Applying Semantic Web Technologies to Ontology Alignment." International Journal of Intelligent Information Technologies 8, no. 1 (January 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 prototype is demonstrated on a drug-drug interaction problem. The prototype could readily be applied to other domains or be incorporated into decision support tools.
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Pasquier, C. "Biological data integration using Semantic Web technologies." Biochimie 90, no. 4 (April 2008): 584–94. http://dx.doi.org/10.1016/j.biochi.2008.02.007.

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Poppe, Chris, Gaëtan Martens, Pieterjan De Potter, and Rik Van de Walle. "Semantic web technologies for video surveillance metadata." Multimedia Tools and Applications 56, no. 3 (September 14, 2010): 439–67. http://dx.doi.org/10.1007/s11042-010-0600-5.

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Castellanos-Nieves, Dagoberto, Jesualdo Tomás Fernández-Breis, Rafael Valencia-García, Rodrigo Martínez-Béjar, and Miguela Iniesta-Moreno. "Semantic Web Technologies for supporting learning assessment." Information Sciences 181, no. 9 (May 2011): 1517–37. http://dx.doi.org/10.1016/j.ins.2011.01.010.

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Anicic, Nenad, and Nenad Ivezic. "Semantic web technologies for enterprise application integration." Computer Science and Information Systems 2, no. 1 (2005): 119–44. http://dx.doi.org/10.2298/csis0501119a.

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Large industrial interoperability projects use syntax-based Enterprise Application Integration standards, such as XML Schema, to accomplish interoperable data exchange among enterprise applications. In this paper, we describe an approach to assess the potential impact of Semantic Web technologies on these standards and on testability of integration results when using these standards. The experimental approach includes an automated translation of an XML Schema-based representation of business document content models into an OWL-based ontology. Based on this ontology, we use the Semantic Web representation and reasoning mechanisms to validate ontological constructs and constraints in support of data exchange. We demonstrate novel model-based integration capabilities that go beyond the existing syntax-based approaches. These new capabilities are relevant when managing multiple enterprise ontologies derived from a common ontology.
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BOŠKOVIĆ, MARKO, EBRAHIM BAGHERI, DRAGAN GAŠEVIĆ, BARDIA MOHABBATI, NIMA KAVIANI, and MAREK HATALA. "AUTOMATED STAGED CONFIGURATION WITH SEMANTIC WEB TECHNOLOGIES." International Journal of Software Engineering and Knowledge Engineering 20, no. 04 (June 2010): 459–84. http://dx.doi.org/10.1142/s0218194010004827.

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Since the introduction in the early nineties, feature models receive a great deal of attention in industry and academia. Industrial success stories in applying feature models for modeling software product lines, and using them for configuring software-intensive systems motivate academia to discover ways to integrate different feature dependencies into the feature model, and automate verified feature configuration. In this paper we demonstrate how ontologies and Semantic Web technologies facilitate seamless integration of required external services and deployment platform capabilities into the feature model. Furthermore, we also contribute with an algorithm for automating staged configuration using Semantic Web reasoners to discover unfeasible features of the feature model.
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23

Callahan, Alison, Michel Dumontier, and Nigam H. Shah. "HyQue: evaluating hypotheses using Semantic Web technologies." Journal of Biomedical Semantics 2, Suppl 2 (2011): S3. http://dx.doi.org/10.1186/2041-1480-2-s2-s3.

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24

Hörküç, İbrahim. "Eğitimde Web 3.0 Kullanımı: Potansiyel ve Zorlukları." International Journal of Social Sciences 7, no. 30 (July 15, 2023): 326–35. http://dx.doi.org/10.52096/usbd.7.30.22.

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Development of information and communication technologies, particularly the advancement of the internet and web technologies, has facilitated students' access to information and enriched their learning experiences. However, as the need for accessing accurate information increases within the vast sea of knowledge, web technologies are also evolving to serve this purpose. Web 3.0 technology, also known as the semantic web, makes information meaningful, enabling users to access information more effectively. The use of semantic web in education has the potential to make learning experiences more flexible, personalized, and effective. However, there are also challenges associated with the use of semantic web in education. Security concerns, costs, standardization, and pedagogical issues may limit the widespread adoption of semantic web. Keywords: Semantic web, web 3.0, educational semantic web
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25

Avanija, J., and K. Ramar. "Semantic Clustering of Web Documents." International Journal of Information Technology and Web Engineering 7, no. 4 (October 2012): 20–33. http://dx.doi.org/10.4018/jitwe.2012100102.

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With the massive growth and large volume of the web it is very difficult to recover results based on the user preferences. The next generation web architecture, semantic web reduces the burden of the user by performing search based on semantics instead of keywords. Even in the context of semantic technologies optimization problem occurs but rarely considered. In this paper document clustering is applied to recover relevant documents. The authors propose an ontology based clustering algorithm using semantic similarity measure and Particle Swarm Optimization (PSO), which is applied to the annotated documents for optimizing the result. The proposed method uses Jena API and GATE tool API and the documents can be recovered based on their annotation features and relations. A preliminary experiment comparing the proposed method with K-Means shows that the proposed method is feasible and performs better than K-Means.
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Rinaldi, Antonio M. "Enabling semantic technologies using multimedia ontology." Encyclopedia with Semantic Computing and Robotic Intelligence 01, no. 01 (March 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 ontology in the WEB. The system provides tools to add multimedia objects by means of user interaction. The multimedia features are automatically extracted using algorithms based on standard MPEG-7 descriptors.
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Rahmanzadeh Heravi, Bahareh, Marie Boran, and John Breslin. "Towards Social Semantic Journalism." Proceedings of the International AAAI Conference on Web and Social Media 6, no. 2 (August 3, 2021): 14–17. http://dx.doi.org/10.1609/icwsm.v6i2.14344.

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User-generated content has become a valuable journalistic tool for news coverage and production. This convergence of new and old media, however, poses several challenges to established news organisations. Social media sites produce a wealth of data in the form of text, images and video that must be processed, compiled and verified within a very short timespan before being incorporated into a news story. This unstructured data that lies scattered across the web can be formalised and organised into a ‘web of data’ by Semantic Web technologies. Specifically, Semantic Web technologies have the potential to formalise and integrate artifacts produced and shared across the Social Web. Social Semantic Journalism proposes the utilisation of Semantic Web technologies, and specifically Social Semantic Web ontologies such as FOAF and SIOC, in the process of news production. This potentially provides a journalistic tool to assist in finding, aggregating and verifying user-generated content for news production.
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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 (August 11, 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 implications, challenges, and considerations for implementing semantic web technologies in Chinese schools. It aims to provide valuable insights for educators, researchers, policymakers, and educational technology practitioners interested in enhancing class management practices through the innovative use of semantic web technologies.
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BISHARA, Anriette. "A Model of Building Ontologies for a Tourism Portal in Description Logic." Journal of Technical Science and Technologies 7, no. 1 (December 20, 2018): 23–29. http://dx.doi.org/10.31578/jtst.v7i1.136.

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In this paper, we present a model of building ontologies for Semantic Web Portal, based on the Description Logics. Semantic Web Portal is a web page, based on Semantic Web Technologies, since the traditional current web programming only allows for describing the layout of Web pages, but not their semantic content, therefore the main reason for using Semantic Web Technologies that is human readable information is accompanied by machine-readable information, usually written in ontologies, for building Web Ontology Languages (OWL) we chose Protégé. The topic of our web portal is tourism in Georgia, where the user can automatically plan trips (the places to visit in Georgia), and this portal can be applied to any country in the world but we chose Georgia as an example. Keywords: Description Logics (DL), Georgian Tourism Application, Protégé, Semantic Web Portal, Semantic Web Technologies, Web Ontology Languages (OWL)
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Konstantinos, Sofianos. "Using Semantic Web (Web 3.0) in Education." International Journal of Computer Science and Mobile Computing 12, no. 5 (May 30, 2023): 64–70. http://dx.doi.org/10.47760/ijcsmc.2023.v12i05.007.

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The World Wide Web has brought a revolutionary change in the way Internet users benefit from the multitude of tools that allow them to search for information, exchange data, collaborate and interact with each other. In the field of education, education systems should no longer be limited to the narrow confines of formal processes and programmes, but should incorporate new technologies. Motivated by this trend, this paper provides an overview of the Semantic Web and examines its potential pedagogical uses and benefits in the field of education, taking into account various research challenges, models and structures.
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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 intelligent software agents (IA) are discussed.The use of block chain technology for the control of various material and non-material assets are done. Technically, the block chain technology is another application layer on top of the stack of the Internet protocols and can be integrated with the semantic level. The use of intelligent technologies in the information management in the cloud area with the work of IA. The intelligent web (web 3.0), which became the next stage in the development of the Internet is discussed. It forms the semantics on the ontology dase, creating new opportunities for IA to perform various user requests. Analyzes the major developments in the field of intellectualization of IM, and the main tendencies of their development. The result was a list of criteria and their values, which must meet an intelligent system for IM.As trends in the development of IM is considered the improvement of models and methods of joint activity of IA in the cloud area using block chain technology. Three directions of development of intellectual control system are proposed. As the development of information management proposed the creation of an instrumental platform based on multi agent approach, integrating semantic and block chain technology in the cloud area.
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HAMLEN, KEVIN W., and BHAVANI THURAISINGHAM. "SECURE SEMANTIC COMPUTING." International Journal of Semantic Computing 05, no. 02 (June 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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Ryen, Vetle, Ahmet Soylu, and Dumitru Roman. "Building Semantic Knowledge Graphs from (Semi-)Structured Data: A Review." Future Internet 14, no. 5 (April 24, 2022): 129. http://dx.doi.org/10.3390/fi14050129.

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Knowledge graphs have, for the past decade, been a hot topic both in public and private domains, typically used for large-scale integration and analysis of data using graph-based data models. One of the central concepts in this area is the Semantic Web, with the vision of providing a well-defined meaning to information and services on the Web through a set of standards. Particularly, linked data and ontologies have been quite essential for data sharing, discovery, integration, and reuse. In this paper, we provide a systematic literature review on knowledge graph creation from structured and semi-structured data sources using Semantic Web technologies. The review takes into account four prominent publication venues, namely, Extended Semantic Web Conference, International Semantic Web Conference, Journal of Web Semantics, and Semantic Web Journal. The review highlights the tools, methods, types of data sources, ontologies, and publication methods, together with the challenges, limitations, and lessons learned in the knowledge graph creation processes.
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DELL’ERBA, MIRELLA, OLIVER FODOR, WOLFRAM HÖPKEN, and HANNES WERTHNER. "EXPLOITING SEMANTIC WEB TECHNOLOGIES FOR HARMONIZING E-MARKETS." Information Technology & Tourism 7, no. 3 (January 1, 2005): 201–19. http://dx.doi.org/10.3727/109830505774297210.

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M, Farida Begam, and Gopinath Ganapathy. "Adaptive Learning Management System Using Semantic Web Technologies." International Journal on Soft Computing 4, no. 1 (February 28, 2013): 1–8. http://dx.doi.org/10.5121/ijsc.2013.4101.

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Calbimonte, Jean-Paul, Hoyoung Jeung, Oscar Corcho, and Karl Aberer. "Enabling Query Technologies for the Semantic Sensor Web." International Journal on Semantic Web and Information Systems 8, no. 1 (January 2012): 43–63. http://dx.doi.org/10.4018/jswis.2012010103.

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Sensor networks are increasingly being deployed in the environment for many different purposes. The observations that they produce are made available with heterogeneous schemas, vocabularies and data formats, making it difficult to share and reuse this data, for other purposes than those for which they were originally set up. The authors propose an ontology-based approach for providing data access and query capabilities to streaming data sources, allowing users to express their needs at a conceptual level, independent of implementation and language-specific details. In this article, the authors describe the theoretical foundations and technologies that enable exposing semantically enriched sensor metadata, and querying sensor observations through SPARQL extensions, using query rewriting and data translation techniques according to mapping languages, and managing both pull and push delivery modes.
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Orozco, Omar J. Lopez, and Jose L. Martinez Lastra. "Using semantic web technologies to describe automation objects." International Journal of Manufacturing Research 1, no. 4 (2006): 482. http://dx.doi.org/10.1504/ijmr.2006.012257.

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Jovanovic, Jelena, Dragan Gasevic, Christopher Brooks, Vladan Devedzic, Marek Hatala, Timmy Eap, and Griff Richards. "Using Semantic Web Technologies to Analyze Learning Content." IEEE Internet Computing 11, no. 5 (September 2007): 45–53. http://dx.doi.org/10.1109/mic.2007.116.

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Shi, Yaqing, Meijuan Wang, Zhenghong Qiao, and Lei Mao. "Effect of Semantic Web technologies on Distance Education." Procedia Engineering 15 (2011): 4295–99. http://dx.doi.org/10.1016/j.proeng.2011.08.806.

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Korthaus, Axel, Michael Schwind, and Stefan Seedorf. "Leveraging Semantic Web technologies for business component specification." Journal of Web Semantics 5, no. 2 (June 2007): 130–41. http://dx.doi.org/10.1016/j.websem.2006.11.005.

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Moussallem, Diego, Matthias Wauer, and Axel-Cyrille Ngonga Ngomo. "Machine Translation using Semantic Web Technologies: A Survey." Journal of Web Semantics 51 (August 2018): 1–19. http://dx.doi.org/10.1016/j.websem.2018.07.001.

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Hunter, J., J. Drennan, and S. Little. "Realizing the hydrogen economy through Semantic Web technologies." IEEE Intelligent Systems 19, no. 1 (January 2004): 40–47. http://dx.doi.org/10.1109/mis.2004.1265884.

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Stephens, S., A. Morales, and M. Quinlan. "Applying Semantic Web Technologies to Drug Safety Determination." IEEE Intelligent Systems 21, no. 1 (January 2006): 82–86. http://dx.doi.org/10.1109/mis.2006.2.

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Bonacin, Rodrigo, Nicoletta Dessì, Maria Grazia Fugini, Olga Nabuco, and Marcos Renato da Silveira. "Special issue on Semantic Technologies for Collaborative Web." Future Generation Computer Systems 54 (January 2016): 344–47. http://dx.doi.org/10.1016/j.future.2015.06.010.

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QassimQwaider, Walid. "Semantic Web Technologies Applied to E-Learning System." International Journal of Computer Applications 47, no. 10 (June 30, 2012): 12–17. http://dx.doi.org/10.5120/7223-0053.

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GARCÍA-CASTRO, RAÚL, and ASUNCIÓN GÓMEZ-PÉREZ. "RDF(S) INTEROPERABILITY RESULTS FOR SEMANTIC WEB TECHNOLOGIES." International Journal of Software Engineering and Knowledge Engineering 19, no. 08 (December 2009): 1083–108. http://dx.doi.org/10.1142/s0218194009004556.

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Interoperability among different development tools is not a straightforward task since ontology editors rely on specific internal knowledge models which are translated into common formats such as RDF(S). This paper addresses the urgent need for interoperability by providing an exhaustive set of benchmark suites for evaluating RDF(S) import, export and interoperability. It also demonstrates, in an extensive field study, the state-of-the-art of interoperability among six Semantic Web tools. From this field study we have compiled a comprehensive set of practices that may serve as recommendations for Semantic Web tool developers and ontology engineers.
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Antoniou, Grigoris, and Martin Doerr. "Challenges and principles in teaching semantic web technologies." International Journal of Teaching and Case Studies 1, no. 4 (2008): 275. http://dx.doi.org/10.1504/ijtcs.2008.022982.

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48

Murayama, Takahiko, Rie Sakai, Kyoji Iiduka, and Daisuke Morita. "Leveraging Semantic Web Technologies for Enterprise Information Integration." NTT Technical Review 10, no. 8 (August 2012): 29–35. http://dx.doi.org/10.53829/ntr201208ra1.

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Li, Yuan-Fang, Jeff Z. Pan, Shonali Krishnaswamy, Manfred Hauswirth, and Hai H. Nguyen. "The Ubiquitous Semantic Web." International Journal on Semantic Web and Information Systems 10, no. 4 (October 2014): 1–16. http://dx.doi.org/10.4018/ijswis.2014100101.

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The Semantic Web represents an evolution of the World Wide Web towards one of entities and their relationships, rather than pages and links. Such a progression makes it possible to represent, integrate, query and reason about structured online data. Recent years have witnessed tremendous growth of mobile computing, represented by the widespread adoption of smart phones and tablets. The versatility of such smart devices and the capabilities of semantic technologies form a great foundation for a ubiquitous Semantic Web that will contribute to further realising the true potential of both disciplines. In this paper, the authors argue for values provided by the ubiquitous Semantic Web using a mobile service discovery scenario. They also provide a brief overview of state-of-the-art research in this emerging area. Finally, the authors conclude with a summary of challenges and important research problems.
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Khan, Shakeel Ahmad, and Rubina Bhatti. "Semantic Web and ontology-based applications for digital libraries." Electronic Library 36, no. 5 (October 1, 2018): 826–41. http://dx.doi.org/10.1108/el-08-2017-0168.

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Purpose The purpose of this paper is to explore useful Semantic Web technologies and ontology-based applications for digital libraries. It also investigates the perceptions of university librarians and academicians in Pakistan about Semantic Web technologies and their use in digital libraries. Design/methodology/approach An exploratory research design based on Delphi research strategy was conducted to answer the research questions. Interviews were conducted with a purposive sample of 50 key informants including university librarians and academicians to explore their perceptions about Semantic Web technologies and their use in digital libraries. Thematic analysis of interview data was conducted to obtain results. Findings The results of this paper showed that DuraCloud, Semantic information mashup, OntoEdit and resource description framework (RDF) are the various Semantic Web applications which are useful for digital libraries to develop semantic relationships among digital contents and increase their accessibility in the web environment. Findings revealed that Semantic Web provides precise results and meets user information needs in an effective way. Results also showed that next-generation digital libraries use context-awareness technology, intelligent agent software and detecting sensors to analyze user information needs and provide dynamic information services. This paper recommended that librarians should embrace the use of emerging web technologies in libraries and offer library services through the medium of the web. Practical implications This paper envisaged the future of digital library services and Semantic Web applications that can be used to re-structure metadata of digital library. This paper has practical implications for librarians to consider the useful applications of Semantic Web for digital library and enhance the interoperability of metadata among heterogeneous information systems. Practically, results obtained from this paper are highly useful for library schools and LIS teachers to up-date their curriculum by incorporating new contents related to web languages and Semantic Web applications for digital libraries. Originality/value This paper identifies various Semantic Web applications which are useful for developing Semantic Digital Libraries.
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