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Journal articles on the topic 'IL. Semantic web'

Author: Grafiati

Published: 10 March 2023

Last updated: 31 July 2025

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1

Sheth, Amit, Cartic Ramakrishnan, and Christopher Thomas. "Semantics for the Semantic Web." International Journal on Semantic Web and Information Systems 1, no. 1 (2005): 1–18. http://dx.doi.org/10.4018/jswis.2005010101.

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Splendiani, Andrea, Albert Burger, Adrian Paschke, Paolo Romano, and M. Marshall. "Biomedical semantics in the Semantic Web." Journal of Biomedical Semantics 2, Suppl 1 (2011): S1. http://dx.doi.org/10.1186/2041-1480-2-s1-s1.

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3

ASHTARI, SOMAYEH, MALIHE DANESH, and Hossein Shirgahi. "A NOVEL USER PROFILE-BASED FUZZY APPROACH FOR EVALUATING TRUST IN SEMANTIC WEB." IIUM Engineering Journal 20, no. 1 (2019): 158–76. http://dx.doi.org/10.31436/iiumej.v20i1.1060.

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ABSTRACT: As a developed World Wide Web architecture, the Semantic Web collects traditional web contents with a formal and understandable semantic using a machine. The main purpose of the Semantic Web is to increase automation, web information processing, and improve interactions and collaboration among information systems. The subject of trust is one of the main challenges in the semantic web. Since different tools and individuals exist in the semantic web, a certain measure of trust in an entity cannot be used and a central system is responsible for data collection and estimating the reliabi

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Surya, S., E. Premalatha, and S. Muthulakshmi. "Intelligent Web Data with Semantic Web Mining." International Journal of Scientific Engineering and Research 5, no. 8 (2017): 146–48. https://doi.org/10.70729/ijser171837.

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Deelmann, Thomas. "Semantic Web." WIRTSCHAFTSINFORMATIK 49, no. 6 (2007): 464. http://dx.doi.org/10.1007/s11576-007-0131-5.

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6

Grosky, W. I., D. V. Sreenath, and F. Fotouhi. "Emergent semantics and the multimedia semantic web." ACM SIGMOD Record 31, no. 4 (2002): 54–58. http://dx.doi.org/10.1145/637411.637420.

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7

Keyvan, Mohebbi, Ibrahim Suhaimi, and Bashah Idris Norbik. "CONTEMPORARY SEMANTIC WEB SERVICE FRAMEWORKS: AN OVERVIEW AND COMPARISONS." International Journal on Web Service Computing (IJWSC) 3, no. 3 (2012): 65–76. https://doi.org/10.5281/zenodo.3538829.

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The growing proliferation of distributed information systems, allows organizations to offer their business processes to a worldwide audience through Web services. Semantic Web services have emerged as a means to achieve the vision of automatic discovery, selection, composition, and invocation of Web services by encoding the specifications of these software components in an unambiguous and machine-interpretable form. Several frameworks have been devised as enabling technologies for Semantic Web services. In this paper, we survey the prominent Semantic Web service frameworks. In addition, a set

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USCHOLD, MIKE. "A semantic continuum on the semantic web." Knowledge Engineering Review 17, no. 1 (2002): 87–91. http://dx.doi.org/10.1017/s0269888902000346.

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In the coming years, the Web is expected to evolve from a structure containing information resources that have little or no explicit semantics to a structure having a rich semantic infrastructure. The key defining feature that is intended to distinguish the future Semantic Web from today's Web is that the content of the Web will be usable by machines (i.e. software agents). Meaning needs to be communicated between agents who advertise and/or require the ability to perform tasks on the Web. Agents also need to determine the meaning of passive (i.e. non-agent) information resources on the web to

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Greaves, Mark, and Peter Mika. "Semantic Web and Web 2.0." Journal of Web Semantics 6, no. 1 (2008): 1–3. http://dx.doi.org/10.1016/j.websem.2007.12.002.

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Alaa, Rana, Mariam Gawish, and Manuel Fernández-Veiga. "Improving Recommendations for Online Retail Markets Based on Ontology Evolution." Electronics 10, no. 14 (2021): 1650. http://dx.doi.org/10.3390/electronics10141650.

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The semantic web is considered to be an extension of the present web. In the semantic web, information is given with well-defined meanings, and thus helps people worldwide to cooperate together and exchange knowledge. The semantic web plays a significant role in describing the contents and services in a machine-readable form. It has been developed based on ontologies, which are deemed the backbone of the semantic web. Ontologies are a key technique with which semantics are annotated, and they provide common comprehensible foundation for resources on the semantic web. The use of semantics and a

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Keyvan, Mohebbi, Ibrahim Suhaimi, and Bashah Idris Norbik. "CONTEMPORARY SEMANTIC WEB SERVICE FRAMEWORKS: AN OVERVIEW AND COMPARISONS." International Journal on Web Service Computing (IJWSC) 3, no. 3 (2012): 65–76. https://doi.org/10.5281/zenodo.4314073.

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The growing proliferation of distributed information systems, allows organizations to offer their business processes to a worldwide audience through Web services. Semantic Web services have emerged as a means to achieve the vision of automatic discovery, selection, composition, and invocation of Web services by encoding the specifications of these software components in an unambiguous and machine-interpretable form. Several frameworks have been devised as enabling technologies for Semantic Web services. In this paper, we survey the prominent Semantic Web service frameworks. In addition, a set

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12

Gangemi, Aldo, Valentina Presutti, Recupero Diego Reforgiato, Andrea Giovanni Nuzzolese, Francesco Draicchio, and Misael Mongiovì. "Semantic Web Machine Reading with FRED." Semantic Web 8, no. 6 (2017): 873–93. https://doi.org/10.3233/SW-160240.

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A formal machine reader is a tool able to transform natural language text into formal structured knowledge so as the latter can be interpreted by machines, according to a shared semantics. FRED is a formal machine reader for the semantic web: its output is a RDF/OWL graph, whose design is based on frame semantics. FRED’s graph are domain- and task-independent, making the tool suitable to be used as a semantic middleware for domain- or task-specific applications. To serve this purpose, it is available both as REST service and as Python library. This paper provides details about FRED&

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13

Slimani, Thabet. "Approaches for Semantic Web Service." International Journal of Service Science, Management, Engineering, and Technology 4, no. 3 (2013): 18–36. http://dx.doi.org/10.4018/ijssmet.2013070102.

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The main objective of the exploitation of semantic descriptions of services through Semantics is a better support for the life-cycle of Web services. The large number of developed ontologies, languages of representations, and integrated frameworks supporting the discovery, composition and invocation of services are a good indicator that research in the field of semantic web service (SWS) has been considerably active. The authors provide in this paper a detailed overview of the approaches and solutions, indicating their core characteristics and objectives required and provide indicators for the

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Childs, Sue. "The Semantic Web." He@lth Information on the Internet 32, no. 1 (2003): 1–2. http://dx.doi.org/10.1258/146041403321544422.

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15

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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16

McIlraith, S. A., T. C. Son, and Honglei Zeng. "Semantic Web services." IEEE Intelligent Systems 16, no. 2 (2001): 46–53. http://dx.doi.org/10.1109/5254.920599.

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17

Sheth, Amit, Cory Henson, and Satya S. Sahoo. "Semantic Sensor Web." IEEE Internet Computing 12, no. 4 (2008): 78–83. http://dx.doi.org/10.1109/mic.2008.87.

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Mehra, Misha, and Nishant Kumar Nishant Kumar. "Semantic Web Applications." DESIDOC Journal of Library & Information Technology 31, no. 4 (2011): 217–25. http://dx.doi.org/10.14429/djlit.31.4.1113.

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19

Berners-Lee, Tim, James Hendler, and Ora Lassila. "The Semantic Web." Scientific American 284, no. 5 (2001): 34–43. http://dx.doi.org/10.1038/scientificamerican0501-34.

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20

Stumme, Gerd, Andreas Hotho, and Bettina Berendt. "Semantic Web Mining." Journal of Web Semantics 4, no. 2 (2006): 124–43. http://dx.doi.org/10.1016/j.websem.2006.02.001.

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21

Antoniou, Grigoris, Mathieu d’Aquin, and Jeff Z. Pan. "Semantic Web dynamics." Journal of Web Semantics 9, no. 3 (2011): 245–46. http://dx.doi.org/10.1016/j.websem.2011.06.008.

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22

Greaves, Mark. "Semantic Web 2.0." IEEE Intelligent Systems 22, no. 2 (2007): 94–96. http://dx.doi.org/10.1109/mis.2007.40.

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23

Mörike, Michael. "Semantic Web 3.0." HMD Praxis der Wirtschaftsinformatik 47, no. 1 (2010): 4–5. http://dx.doi.org/10.1007/bf03340432.

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24

Parsia, Bijan. "Semantic Web Services." Bulletin of the American Society for Information Science and Technology 29, no. 4 (2005): 12–15. http://dx.doi.org/10.1002/bult.281.

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Albukhitan, Saeed, Ahmed Alnazer, and Tarek Helmy. "Semantic Annotation of Arabic Web Resources Using Semantic Web Services." Procedia Computer Science 83 (2016): 504–11. http://dx.doi.org/10.1016/j.procs.2016.04.243.

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Shirgahi, Hossein, Mehran Mohsenzadeh, and Hamid Haj Seyyed Javadi. "Trust estimation of the semantic web using semantic web clustering." Journal of Experimental & Theoretical Artificial Intelligence 29, no. 3 (2016): 537–56. http://dx.doi.org/10.1080/0952813x.2016.1199601.

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27

Hammami, Randa, Hatem Bellaaj, and Ahmed Hadj Kacem. "Semantic Web Services Discovery." International Journal on Semantic Web and Information Systems 14, no. 4 (2018): 57–72. http://dx.doi.org/10.4018/ijswis.2018100103.

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This article describes how Web services play an important role in several fields such as e-commerce and e-health. As the number of Web services is increasing rapidly, finding the best Web service according to users' requirements becomes more challenging. The traditional method of Web service discovery is based on keyword match. Due to this, many Web services which are most relevant to the user request are left undiscoverable. Some other emergent approaches are based on semantics to improve the quality of the discovered Web services in terms of relevance and satisfaction of user's need. In this

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Researcher. "THE IMPACT OF THE SEMANTIC WEB ON THE INTERNET WORLD." International Journal of Computer Science and Applications (IJCSA) 1, no. 1 (2024): 15–19. https://doi.org/10.5281/zenodo.14195716.

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In order to improve collaboration between humans and robots, information is given a clear meaning in the Semantic Web, a major advancement of the current Global Web. The Semantic Web makes it possible for computers to process, understand, and link data in a more complex and meaningful way by integrating semantics into web content. The impact of the Semantic Web on the Internet is examined in this research, along with how it improves intelligent automation, data integration, and information retrieval. The study explores the Semantic Web’s underlying technology, difficulties, and potential

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Avanija, J., and K. Ramar. "Semantic Clustering of Web Documents." International Journal of Information Technology and Web Engineering 7, no. 4 (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 annota

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30

TF, Michael Raj,, and Siva Prakasam P. "Semantic Web: A Study on Web Service Composition Approaches." International Journal of Trend in Scientific Research and Development Volume-1, Issue-4 (2017): 196–209. http://dx.doi.org/10.31142/ijtsrd115.

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31

Almeida, Mauricio, Renato Souza, and Fred Fonseca. "Semantics in the Semantic Web: A Critical Evaluation." KNOWLEDGE ORGANIZATION 38, no. 3 (2011): 187–203. http://dx.doi.org/10.5771/0943-7444-2011-3-187.

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32

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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33

Liu, Haoyan, Lei Fang, Jian-Guang Lou, and Zhoujun Li. "Leveraging Web Semantic Knowledge in Word Representation Learning." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 6746–53. http://dx.doi.org/10.1609/aaai.v33i01.33016746.

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Much recent work focuses on leveraging semantic lexicons like WordNet to enhance word representation learning (WRL) and achieves promising performance on many NLP tasks. However, most existing methods might have limitations because they require high-quality, manually created, semantic lexicons or linguistic structures. In this paper, we propose to leverage semantic knowledge automatically mined from web structured data to enhance WRL. We first construct a semantic similarity graph, which is referred as semantic knowledge, based on a large collection of semantic lists extracted from the web usi

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J, I. Christy Eunaicy, and Sundara Vadivelu V. "A SEMWORD based Semantic Secure Content Retrieval System in E-learning." Indian Journal of Science and Technology 16, no. 31 (2023): 2447–57. https://doi.org/10.17485/IJST/v16i31.833.

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Abstract <strong>Objectives:</strong> The semantic e-learning model aims to be the next generation of e-learning as it enables advanced representation, manipulation and re-use of learning materials and knowledge semantics in efficient online learning experiences. The modeling of semantic-based content retrieval for e-learning with secured content. This system will provide users with access to relevant educational resources in an easy-to-use, secure, and anonymous environment using semantic technologies. <strong>Methods:</strong> Semantic Web resource description format is propos

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35

Rastier, François. "Sémantique du web vs. Semantic Web ?" Syntaxe et sémantique 9, no. 1 (2008): 15. http://dx.doi.org/10.3917/ss.009.0015.

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Qin, Li. "XBRL, semantic web and web services." International Journal of Business and Systems Research 5, no. 5 (2011): 443. http://dx.doi.org/10.1504/ijbsr.2011.042093.

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37

Casey, Máire, and Claus Pahl. "Web Components and the Semantic Web." Electronic Notes in Theoretical Computer Science 82, no. 5 (2003): 156–63. http://dx.doi.org/10.1016/s1571-0661(04)80741-2.

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38

Bell, David, Christoph Bussler, and Jian Yang. "The Semantic Web and Web Services." Information Systems 31, no. 4-5 (2006): 229–31. http://dx.doi.org/10.1016/j.is.2005.03.001.

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39

Коновальчук, Е., E. Konoval'chuk, В. Лавлинский, et al. "ALGORITHMS FOR COMBINING INFORMATION ABOUT WEB-PAGES WITH BACKGROUND ONTOLOGICAL KNOWLEDGE." Modeling of systems and processes 12, no. 2 (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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40

Blumauer, Andreas, Tassilo Pellegrini, and Adrian Paschke. "Corporate Semantic Web — der Einsatz von Semantic-Web-Technologien im Unternehmen." HMD Praxis der Wirtschaftsinformatik 47, no. 5 (2010): 105–14. http://dx.doi.org/10.1007/bf03340518.

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41

Celik, Duygu, and Atilla Elci. "Semantic composition of business processes using Armstrong's Axioms." Knowledge Engineering Review 29, no. 2 (2014): 248–64. http://dx.doi.org/10.1017/s0269888914000083.

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AbstractLack of sufficient semantic description in the content of Web services makes it difficult to find and compose suitable Web services during analysis, search, and matching processes. Semantic Web Services are Web services that have been enhanced with formal semantic description, which provides well-defined meaning. Due to insertion of semantics, meeting user demands will be made possible through logical deductions achieving resolutions automatically. We have developed an inference-based semantic business process composition agent (SCA) that employs inference techniques. The semantic comp

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42

Ryen, Vetle, Ahmet Soylu, and Dumitru Roman. "Building Semantic Knowledge Graphs from (Semi-)Structured Data: A Review." Future Internet 14, no. 5 (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 se

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43

Chomboon, K., N. Kaoungku, K. Kerdprasop, and N. Kerdprasop. "Data Mining in Semantic Web Data." International Journal of Computer Theory and Engineering 6, no. 6 (2014): 472–75. http://dx.doi.org/10.7763/ijcte.2014.v6.912.

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JIANG, GUOFEI, GEORGE CYBENKO, and JAMES A. HENDLER. "SEMANTIC INTEROPERABILITY AND INFORMATION FLUIDITY." International Journal of Cooperative Information Systems 15, no. 01 (2006): 1–21. http://dx.doi.org/10.1142/s0218843006001268.

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Ontologies are developed to describe data semantics on the Semantic Web. Given the distributed nature and scale of the Semantic Web, a large number of ontologies with different terminologies and structures will be created to describe the same concepts and domains. Without semantic mapping, information fluidity within the Web could be blocked at the boundaries of these ontologies. Therefore, ontology mapping is needed to translate datasets represented by disparate ontologies. We believe that over time communities will incrementally build an ontology mapping between select ontologies based on th

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45

Dzbor, M., A. Stutt, E. Motta, and T. Collins. "Representations for semantic learning webs: Semantic Web technology in learning support." Journal of Computer Assisted Learning 23, no. 1 (2007): 69–82. http://dx.doi.org/10.1111/j.1365-2729.2007.00202.x.

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46

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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., I. Putu Agus Ariana, I. Made Agus Wirawan, S. Kom ,. M. Cs ., and I. Made Putrama, S. T. ,. M. Tech . "Pengembangan Web Semantik Silsilah Keluarga Kawitan Sri Kresna Kepakisan Dengan Metode Pencarian Breadth First Search." Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika (KARMAPATI) 7, no. 1 (2018): 39. http://dx.doi.org/10.23887/karmapati.v7i1.13629.

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Bali terkenal dengan adat-istiadatnya, salah satunya yang dapat dilihat pada masyarakat Bali sampai saat ini yaitu begitu taat untuk tetap ingat dengan asal muasal dari mana dirinya berasal atau yang sering disebut kawitan. Salah satunya kawitan yang ada di Bali adalah Sri Kresna Kepakisan. Tujuan dari penelitian ini untuk mengembangkan sebuah sistem web semantik silsilah keluarga Sri Kresna Kepakisan dengan metode pencarian Breadth First Search.  Dalam pengembangan sistem web semantik ini hanya sampai batas merepresentasikan data Resourch Description Framework. Model pengembangan web se

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48

Haralambous, Yannis, and Philippe Lenca. "Beyond the Semantic Web: Towards an Implicit Pragmatic Web and a Web of Social Representations." Future Internet 15, no. 7 (2023): 239. http://dx.doi.org/10.3390/fi15070239.

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Motivated by the distinction between semantics and pragmatics as sub-disciplines of linguistics, shortly after Tim Berners-Lee introduced the Semantic Web in 2001, there have been works on its extension to the “pragmatic level”. Twenty years later, the Semantic Web is more popular than ever, while little has been achieved in extending it into a Pragmatic Web. Social representations introduced by Serge Moscovici in the 1960s seem totally ignored by the information technology community even though they are strongly related to research on opinion mining and representation in social media. We, thu

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Himawan, Trinugi Wira Harjanti, Ruli Supriati, and Hari Setiyani. "Evolusi Penggunaan Teknologi Web 3.0 : Semantic Web." Journal of Information System,Graphics, Hospitality and Technology 2, no. 02 (2020): 54–60. http://dx.doi.org/10.37823/insight.v2i02.107.

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Generasi baru dari konsep teknologi yang digunakan pada halaman website mengalami perubahan yang juga selaras dengan kebutuhan bisnis yang ada dalam dunia digital. Halaman website mengalami transformasi dari pada mulanya adalah hanya berupa halaman website statis, kemudian pada versi atau generasi berikutnya menjadi halaman website 2.0 sampai dengan generasi ketiga atau halaman website 3.0 (web 3.0) atau yang juga dikenal dengan istilah website semantik (Semantic Web). Generasi ketiga dari teknologi halaman website inilah yang akan menjadi topik utama dari penulisan paper ini, dimana pembahasa

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50

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

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

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