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Journal articles on the topic 'Semantic technologies'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 January 2023

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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 (December 2019): 306–13. http://dx.doi.org/10.3103/s0147688219050022.

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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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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 (December 2020): 365–73. http://dx.doi.org/10.3103/s0147688220060027.

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4

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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Mahridawati, Mahridawati. "PERGESERAN SEMANTIK/SEMANTIC SHIFTING." Al-Fathin: Jurnal Bahasa dan Sastra Arab 1, no. 01 (August 5, 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 a particular technology in its development of the mark refers to a particular technology. Changes in the meaning of the sign language is interesting to examine, especially the sign of the language that changed due to the development of science and technology, because with the study writers are motivated to more in search of the initial meaning of the origin of the sign before it developed into a new sign by the cause of new technologies that require naming the technology.

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Lazarinis, Fotis. "Cultural data and semantic technologies." Electronic Library 30, no. 5 (September 28, 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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Baader, Franz, Stefan Borgwardt, Patrick Koopmann, Veronika Thost, and Anni-Yasmin Turhan. "Semantic Technologies for Situation Awareness." KI - Künstliche Intelligenz 34, no. 4 (November 3, 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 extensions, but do not describe the application that triggered these extensions in detail.

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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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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 (August 30, 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., where all the contents are stored. Our research follows the idea of using semantics technologies as a support, if not an entire replacement, of the backend and persistence mechanisms of LMSs. As a testbed, we will present the design and early results of the application of this approach to the persistence layer of a Virtual Communities System, where these technologies will enriched the platform to address two fundamental issues: a) entities disambiguation and identification inside the persisted objects b) adding new features to the platform without refactoring it.

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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 (March 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 users by domain knowledge with advanced reasoning mechanisms, and provide solutions to problems that were otherwise infeasible. This approach also takes user’s preference and place property into consideration that can be utilized to achieve a comprehensive range of personalized services, such as advertising, recommendations, or polling. This paper provides an overview of indoor localization technologies, popular models for extracting semantics from location data, approaches for associating semantic information and location data, and applications that may be enabled with location semantics. To make the presentation easy to understand, we will use a museum scenario to explain pros and cons of different technologies and models. More specifically, we will first explore users’ needs in a museum scenario. Based on these needs, we will then discuss advantages and disadvantages of using different localization technologies to meet these needs. From these discussions, we can highlight gaps between real application requirements and existing technologies, and point out promising localization research directions. By identifying gaps between various models and real application requirements, we can draw a roadmap for future location semantics research.

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13

Staykova, Kamenka. "Natural Language Generation and Semantic Technologies." Cybernetics and Information Technologies 14, no. 2 (July 15, 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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14

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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15

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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16

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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17

Chute, C. G. "Biosurveillance, Classification, and Semantic Health Technologies." Journal of the American Medical Informatics Association 15, no. 2 (March 1, 2008): 172–73. http://dx.doi.org/10.1197/jamia.m2693.

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18

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

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19

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

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20

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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21

Benjamins, V. Richard, John Davies, Ricardo Baeza-Yates, Peter Mika, Hugo Zaragoza, Mark Greaves, Jose Manuel Gomez-Perez, Jesus Contreras, John Domingue, and Dieter Fensel. "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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22

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

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23

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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24

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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25

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

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26

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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27

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 solutions, such as the support of asynchronous, event based communication and ontology management in distributed systems. The developed middleware was used to build a test system in order to prove its advantages over similar systems that rely on currently used technologies.

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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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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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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 (October 8, 2016): 82–89. http://dx.doi.org/10.5815/ijitcs.2016.10.10.

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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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Lamharhar, Hind, Dalila Chiadmi, and Laila Benhlima. "How semantic technologies transform e-government domain." Transforming Government: People, Process and Policy 8, no. 1 (March 17, 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 area are semantic web services (SWS) technology and ontology. Thus, for modelling efficiently public services, the authors have exploring, studying and analyzing some of e-government researches and projects that applied semantic technologies. Design/methodology/approach – In this paper, the authors address how semantic technologies transform the e-government domain through exploring and studying the use of SWS and ontology in numerous researches and projects applying these technologies in this area. Then, the authors have compared them through a set of criteria defined according to e-government requirements such as the SWS modelling approach for describing semantically public services, ontologies for representing governmental specific features (e.g. regulation and organizational structures) and developed portal for supporting user ' s perspectives. Based on this study, the authors have identified the appropriate standards, frameworks, and models for developing the framework. Findings – The authors have developed a framework for public services which enhances existing approaches with additional aspects. Thus, the approach comparing to other works improves the service ontology with a cognitive semantic approach to support the multiple usage contexts and situations of services. This semantic is developed in form of a Sit/Ctx ontology developed based on CSs model represented through conceptual graphs theory. The authors have used this model besides OWL-S, improving thus the level of automation of discovery and composition process of public services, which become more efficient with taken into consideration their interrelations and situations. Originality/value – The approach comparing to other works improves the service ontology with a cognitive semantic approach to support the multiple usage contexts and situations of public services, providing thus the end-users (people and enterprises) a better orientation in discovery process.

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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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34

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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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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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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37

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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38

Meroño-Peñuela, Albert, Ashkan Ashkpour, Marieke van Erp, Kees Mandemakers, Leen Breure, Andrea Scharnhorst, Stefan Schlobach, and Frank van Harmelen. "Semantic technologies for historical research: A survey." Semantic Web 6, no. 6 (October 16, 2014): 539–64. http://dx.doi.org/10.3233/sw-140158.

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Ploennigs, Joern, Henrik Dibowski, Martin Wollschlaeger, Jose L. Martinez Lastra, Kim Fung Tsang, and Carlos Eduardo Pereira. "Guest Editorial Semantic Technologies in Automation Systems." IEEE Transactions on Industrial Informatics 13, no. 6 (December 2017): 3334–37. http://dx.doi.org/10.1109/tii.2017.2764180.

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Georgieva-Trifonova, Tsvetanka, Kaloyan Zdravkov, and Donika Valcheva. "Application of semantic technologies in bibliographic databases." Electronic Library 38, no. 1 (December 2, 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 to the topic and included in the review. From the selected literature sources, information is extracted, which is then summarized and analyzed according to previously defined research questions and finally reported. Besides, a framework is defined to classify literature sources found and collected as a result of the study. The main criteria, according to which the classification is performed, are the used semantic technology and the research problem for which semantic technologies are applied in bibliographic databases. The classification of the publications is verified by each author independently of others. Findings The conducted systematic scientific review establishes that the evolution of semantic technologies sets a period of increased interest in the researchers, as a result of which the advantages of using them for bibliographic descriptions are examined and practically confirmed. After defining semantic models for bibliographic descriptions and approaches to transform existing bibliographic data into their correspondence, the research interest is directed at their comparison, collation; enrichment to facilitate search and retrieval of useful information. Possible perspectives for future research are outlined, which mainly relate to the complete use of the created data sets and their transformation into knowledge repositories. Originality/value Despite the increasing importance of the semantic technologies in various areas, including the bibliographic databases, there is a lack of comprehensive literature review and classification of literature sources relevant to this topic. The detailed study proposed in the present paper supports introducing with the existing experience in the application of semantic technologies in bibliographic databases, as well as facilitates the discovery of trends and guidelines for future research.

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Charlton, Patricia, George Magoulas, and Diana Laurillard. "Enabling creative learning design through semantic technologies." Technology, Pedagogy and Education 21, no. 2 (July 2012): 231–53. http://dx.doi.org/10.1080/1475939x.2012.698165.

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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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Kasrin, Nasr, Maliha Qureshi, Simon Steuer, and Daniela Nicklas. "Semantic Data Management for Experimental Manufacturing Technologies." Datenbank-Spektrum 18, no. 1 (January 23, 2018): 27–37. http://dx.doi.org/10.1007/s13222-018-0274-0.

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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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Abstract:

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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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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Carrino, Francesco, Maria Sokhn, Anne Le Calvé, Elena Mugellini, and Omar Abou Khaled. "Personal information management based on semantic technologies." Journal of Ambient Intelligence and Humanized Computing 4, no. 3 (January 8, 2012): 401–7. http://dx.doi.org/10.1007/s12652-011-0102-y.

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Grzegorzek, Marcin, Michael Granitzer, Stefan Rüger, Michael Sintek, Thierry Declerck, and Massimo Romanelli. "Trends in semantic and digital media technologies." Multimedia Tools and Applications 62, no. 2 (May 9, 2012): 311–18. http://dx.doi.org/10.1007/s11042-012-1106-0.

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