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Introduction to E-Learning Systems Read chapter Read first chapter

2017 | OriginalPaper | Chapter

8. Semantic Web

Authors : Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain

Published in: E-Learning Systems

Publisher: Springer International Publishing

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Abstract

The Semantic Web is a next generation of the Web in which information is presented in such a way that it can be used by computers not only to be presented but also to be used for automation of the search, integration, and reuse between applications. The goal of the Semantic Web is to develop the basis for intelligent applications that enable more efficient information use by not just providing a set of linked documents but a collection of knowledge repositories with meaningful content and additional logic structure. Also, one of the main goals is to build an appropriate infrastructure for intelligent agents to perform complex actions on the network. There are a number of important concepts that enable the development of the Semantic Web. This chapter presents the most important of them: knowledge organization systems, ontologies, Semantic Web languages and adaptation rules. Possibilities of applying Semantic Web technologies in e-learning systems are presented in this chapter.

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previous chapter Folksonomy and Tag-Based Recommender Systems in E-Learning Environments
next chapter Design and Implementation of General Tutoring System Model
Footnotes
1
Berners-Lee is the director of the World Wide Web Consortium (W3C). The World Wide Web Consortium (W3C) is the main international standards organization for the World Wide Web.
 
Literature
Alatrish, E. S. (2012). Comparison of ontology editors. E-RAF Journal on Computing, 4, 23–38.
Alsultanny, Y. A. (2006). e-Learning system overview based on semantic web. The Electronic Journal of E-Learning, 4(2), 111–118.
Aroyo, L., & Mizoguchi, R. (2003). Authoring Support framework for intelligent educational systems. In AIED-2003 (pp. 362–364).
Aroyo, L., & Dicheva, D. (2004). The new challenges for e-learning: The Educational Semantic Web. Educational Technology and Society.
Babu, P. B., & Krishnamurthy, M. (2013). Library automation to resource discovery: a review of emerging challenges. The Electronic Library, 31(4), 433–451. doi:10.​1108/​EL-11-2011-0159
Barzdinš, J., Barzdinš, G., Čerans, K., Liepinš, R., & Sprogis, A. (2010). OWLGrEd: A UML style graphical editor for OWL. In CEUR Workshop Proceedings (Vol. 596, pp. 23–28). doi:10.​1007/​978-3-642-16101-8_​9
Bechhofer, S. (2009). OWL: Web ontology language. In Encyclopedia of Database Systems (pp. 2008–2009). Berlin: Springer.
Berners-Lee, T., Hendler, J., Lassila, O., et al. (2001). The semantic web. Scientific American, 284(5), 28–37.CrossRef
Breslin, J. G., Passant, A., & Vrandečić, D. (2011). Social semantic web. In Handbook of Semantic Web Technologies (pp. 467–506). Berlin: Springer.
Chandrasekaran, B., Josephson, J. R., & Benjamins, V. R. (1999). What are ontologies, and why do we need them? IEEE Intelligent Systems, 1, 20–26.CrossRef
Chen, C.-M. (2009). Ontology-based concept map for planning a personalised learning path. British Journal of Educational Technology, 40(6), 1028–1058.CrossRef
Chen, W., Hayashi, Y., Jin, L., Ikeda, M., & Riichiro Mizoguchi. (1998). An ontology-based intelligent authoring tool. In Proceedings of the Sixth International Conference on Computers in Education (pp. 41–49).
d’Aquin, M., Motta, E., Sabou, M., Angeletou, S., Gridinoc, L., Lopez, V., & Guidi, D. (2008). Toward a new generation of semantic web applications. IEEE Intelligent Systems, 23(3). doi:10.​1109/​MIS.​2008.​54.
Devedžić, V. (2004). Web intelligence and artificial intelligence in education. Educational Technology & Society, 7(4), 29–39.
Devedzic, V., & Harrer, A. (2005). Software patterns in ITS architectures. International Journal of Artificial Intelligence in Education, 15(2), 63–94.
Dicheva, D., Sosnovsky, S., Gavrilova, T., & Brusilovsky, P. (2005). Ontological web portal for educational ontologies. In SW-EL’05: Applications of Semantic Web Technologies for E-Learning (p. 19).
Dutta, B. (2006). Semantic web based e-learning. Bangalore: Documentation Research and Training Centre Indian Statistical Institute.
Fensel, D., & Musen, M. A. (2001). The semantic web: A brain for humankind. IEEE Intelligent Systems, 16(2), 24–25.CrossRef
Friedman-Hill, E. J., & others. (1997). Jess, the java expert system shell. Distributed Computing Systems, Sandia National Laboratories, USA.
Gascueña, J. M., Fernandez-Caballero, A., & Gonzalez, P. (2006). Domain ontology for personalized e-learning in educational systems. In ICALT (pp. 456–458).
Gómez-Pérez, A., & Corcho, O. (2002). Ontology languages for the semantic web. IEEE Intelligent Systems and Their Applications, 17(1), 54–60. doi:10.​1109/​5254.​988453.
Gruber, T. R. (1995). Toward principles for the design of ontologies used for knowledge sharing? International Journal of Human-Computer Studies, 43(5), 907–928.CrossRef
Guarino, N., & Welty, C. (2000). Identity, unity, and individuality: towards a formal toolkit for ontological analysis. In ECAI 2000 (pp. 219–223).
Henze, N., Dolog, P., & Nejdl, W. (2004). Reasoning and ontologies for personalized e-learning in the semantic web. Educational Technology & Society, 7(4), 82–97.
Hodge, G. (2000). Systems of Knowledge Organization for Digital Libraries: Beyond Traditional Authority Files. Knowledge Organization.
Horrocks, I., Parsia, B., Patel-Schneider, P., & Hendler, J. (2005). Semantic web architecture: Stack or two towers? In Principles and practice of semantic web reasoning (pp. 37–41). Berlin: Springer.
Horrocks, I., Patel-Schneider, P. F., Boley, H., Tabet, S., Grosof, B., Dean, M., & others. (2004). SWRL: A semantic web rule language combining OWL and RuleML. W3C Member Submission, 21, 79.
Ikeda, M., Seta, K., Kakusho, O., & Mizoguchi, R. (1998). Task ontology: Ontology for building conceptual problem solving models. In Proceedings of ECAI98 (pp. 126–133).
Informatics, S. M. (2010). The Protégé ontology editor and knowledge acquisition system welcome to protég. Knowledge Acquisition, 2010–2010.
Jovanovic, J., Rao, S., Gasevic, D., Hatala, M., & Devedzic, V. (2007). An Ontological Framework for Educational Feedback.
Klein, M. (2001). XML, RDF, and relatives. IEEE Intelligent Systems, 2, 26–28.CrossRef
Knublauch, H. (2004). Ontology-driven software development in the context of the semantic web: An example scenario with protege/OWL. In 1st International Workshop on the ModelDriven Semantic Web MDSW2004.
Lee, M.-C., Ye, D. Y., & Wang, T. I. (2005). Java learning object ontology. In Advanced Learning Technologies, 2005. ICALT 2005. Fifth IEEE International Conference on (pp. 538–542).
Li, J., Le, T. D., Liu, L., Liu, J., Jin, Z., & Sun, B. (2013). Mining causal association rules. In 2013 IEEE 13th International Conference on Data Mining Workshops (ICDMW) (pp. 114–123).
Lowe, B., Caruso, B., Cappadona, N., Worthington, M., Mitchell, S., & Corson-Rikert, J. (2011). The vitro integrated ontology editor and semantic web application. In ICBO.
Mizoguchi, R. (2004). Tutorial on ontological engineering: Part 02: Ontology development, tools and languages. New Generation Computing, 22, 61–96.CrossRefMATH
Mizoguchi, R., & Bourdeau, J. (2015). Using Ontological Engineering to Overcome AI-ED Problems: Contribution, Impact and Perspectives. International Journal of Artificial Intelligence in Education, 1–16.
Mizoguchi, R., Hayashi, Y., & Bourdeau, J. (2007). Inside theory-aware and standards-compliant authoring system. In SW-EL’07 (18 p.).
Mustapa\csa, O., Karahoca, D., Karahoca, A., Yücel, A., & Uzunboylu, H. (2010). Implementation of semantic web mining on e-learning. Procedia-Social and Behavioral Sciences, 2(2), 5820–5823.CrossRef
Noy, N. F., Sintek, M., Decker, S., Crubézy, M., Fergerson, R. W., & Musen, M. A. (2001). Creating semantic web contents with protégé-2000. IEEE Intelligent Systems and Their Applications, 16(2), 60–71. doi:10.​1109/​5254.​920601
Papataxiarhis, V., Tsetsos, V., Karali, I., Stamatopoulos, P., & Hadjiefthymiades, S. (2009). Developing rule-based applications for the Web: Methodologies and Tools. In Handbook of research on emerging rule-based languages and technologies: Open solutions and approaches.
Romero, C., Ventura, S., & De Bra, P. (2004). Knowledge discovery with genetic programming for providing feedback to courseware authors. User Modelling and User-Adapted Interaction, 14(5), 425–464. doi:10.​1007/​s11257-004-7961-2
Romero, C., Ventura, S., Hervas, C., & Gonzalez, P. (2005). Rule discovery in web-based educational systems using grammar-based genetic programming. Data Mining VI: Data Mining, Text Mining and Their Business Applications, 205–214. doi:10.​2495/​DATA050211
Shah, N. K. (2012). E-learning and semantic web. International Journal of E-Education, E-Business, E-Management and E-Learning, 2(2), 113.
Sheth, A., Ramakrishnan, C., & Thomas, C. (2005). Semantics for the semantic web: The implicit, the formal and the powerful. International Journal on Semantic Web and Information Systems (IJSWIS), 1(1), 1–18.CrossRef
Sicilia, M.-Á., Lytras, M. D., Sánchez-Alonso, S., García-Barriocanal, E., & Zapata-Ros, M. (2011). Modeling instructional-design theories with ontologies: Using methods to check, generate and search learning designs. Computers in Human Behavior, 27(4), 1389–1398.CrossRef
Sivashanmugam, K., Sivashanmugam, K., Verma, K., Verma, K., Sheth, A., Sheth, et al. (2003). Adding Semantics to Web Services Standards. In Proceedings of the International Conference on Web Services (pp. 395–401).
Staab, S., Studer, R., Schnurr, H. P., & Sure, Y. (2001). Knowledge processes and ontologies. IEEE Intelligent Systems and Their Applications, 16(1), 26–34. doi:10.​1109/​5254.​912382
Suarez-Figueroa, M. C., Gomez-Perez, A., & Fernandez-Lopez, M. (2012). The NeOn methodology for ontology engineering. In Ontology Engineering in a Networked World (pp. 9–34). doi:10.​1007/​978-3-642-24794-1
Swartout, W., & Tate, A. (1999). Guest editors’ introduction: Ontologies. IEEE Intelligent Systems, 1, 18–19.CrossRef
Tran, T., Cimiano, P., & Ankolekar, A. (2006). Rules for an ontology-based approach to adaptation. In Proceedings—SMAP 2006: 1st International Workshop on Semantic Media Adaptation and Personalization (pp. 49–54). doi:10.​1109/​SMAP.​2006.​31.
Vesin, B., Ivanović, M., Klašnja-Milićević, A., & Budimac, Z. (2012). Protus 2.0: Ontology-based semantic recommendation in programming tutoring system. Expert Systems with Applications, 39, 12229–12246. doi:10.​1016/​j.​eswa.​2012.​04.​052
Metadata
Title
Semantic Web
Authors
Aleksandra Klašnja-Milićević
Boban Vesin
Mirjana Ivanović
Zoran Budimac
Lakhmi C. Jain
Copyright Year
2017
Book
E-Learning Systems

Print ISBN: 978-3-319-41161-3

Electronic ISBN: 978-3-319-41163-7

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-41163-7_8

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