Abstract
The technological development that has taken place over recent years has affected the way that the Web is exploited by users. In fact, a user is no longer seen as a mere observer; instead, he or she actively takes part in the production of new knowledge, which is then made available to other users. In this scenario, which is characterized by ever-growing information, new approaches (e.g., based on semantic technologies) for processing large amounts of content must be developed. Other sectors, including education and learning, as well as job seeking and hiring activities, could benefit from the exploitation of tools that can be developed within the Semantic Web initiative. As a consequence of the use of semantic technologies, learners could find more efficient training paths that provide them with their missing areas of competence and training institutes could analyze and modify existing qualifications according to a market’s requirements, while companies could effectively identify the best candidates for a given job, not only within national boundaries but also worldwide. This study aims to present an overview of recent research in the field of semantic technologies applied to education and job-seeking contexts. Issues that are related to students’ and workers’ mobility, job seeking and hiring and the improvement of qualification offers will be analyzed and compared, by distinguishing three fields of research: knowledge base creation, the development of strategies for the integration of heterogeneous systems and the definition of inference rules, and the identification of methodologies for the visualization of qualification outcomes and curricula.
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References
Anderson, L.W., Krathwohl, D.R., Bloom, B.S.: A taxonomy for learning teaching, and assessing: a revision of Bloom’s taxonomy of educational objectives. Longman (2001)
Anderson, T., Whitelock, D.: The Educational Semantic Web: visioning and practicing the future of education. Journal of Interactive Media in Education (JIME) 7, 1–15 (2004)
Auer, S., Lehmann, J.: What have Innsbruck and Leipzig in common? Extracting Semantics from Wiki Content. In: Franconi, E., Kifer, M., May, W. (eds.) ESWC 2007. LNCS, vol. 4519, pp. 503–517. Springer, Heidelberg (2007)
Aydin, C.C., Tirkes, G.: Open source learning management systems in e-learning and Moodle. In: IEEE Education Engineering (EDUCON), pp. 593–600 (2010)
Bittencourt, I.I., Isotani, S., Costa, E., Mizoguchi, R.: Research Directions on Semantic Web and Education. Journal Scientia - Interdisciplinary studies in Computer Science 19(1), 59–66 (2008)
Bizer, C., Heese, R., Mochol, M., Oldakowski, R., Tolksdorf, R., Eckstein, R.: The Impact of Semantic Web Technologies on Job Recruitment Processes. In: International Conference of Wirtschaftsinformatik, pp. 17–26 (2005)
Bloom, B.S.: Taxonomy of educational objectives - the classification of educational goals - Handbook I: cognitive domain. Longman (1956)
Bologna Declaration Communiqué of the meeting of European Ministers in charge of Higher Education (May 19, 2001), http://ec.europa.eu/education/policies/educ/bologna/bologna.pdf (cited May 2011)
Bourque, P., Buglione, L., Abran, A., April, A.: Bloom’s Taxonomy Levels for Three Software Engineer Profiles. In: Eleventh Annual International Workshop on Software Technology and Engineering Practice (STEP 2003), pp. 123–129 (2003)
Cubillos, C., Lamberti, F., Demartini, C.: National Qualification Systems Integration Using Ontologies. IFIP, vol. 210, pp. 285–289 (2006)
Cubillos, C., Lamberti, F., Demartini, C.: Integration at Vocational Education and Training Level through Mapped Ontologies. In: Third International Conference on Convergence and Hybrid Information Technology (ICCIT 2008), vol. 1, pp. 117–122 (2008)
Cubillos, C., Lamberti, F., Demartini, C.: Integrating European Qualification Systems with OWL Ontologies. In: Electronics, Robotics and Automotive Mechanics Conference (CERMA 2007), pp. 752–757 (2007)
De Meo, P., Quattrone, G., Terracina, G., Ursino, D.: An XML-Based Multiagent System for Supporting Online Recruitment Services. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans 37(4), 464–480 (2007)
Devedžić, V.: Intelligent Web-based computer-supported collaborative learning. In: Ghaoui, C., Jain, M., Bannore, V., Jain, L.C. (eds.) Knowledge-Based Virtual Education - User-Centred Paradigms, pp. 81–110. Springer, Berlin (2005)
Devedžić, V.: Computer-supported collaborative learning. In: Ghaoui, C. (ed.) Encyclopedia of Human Computer Interaction, pp. 105–111. Idea Group Reference, Hershey (2006a)
Devedžić, V.: Semantic Web and Education. Springer, New York (2006)
Dexter, H., Davies, I.: An ontology-based curriculum knowledgebase for managing complexity and change. In: 9th IEEE International Conference on Advanced Learning Technologies, pp. 136–140 (2009)
Recommendation of the European Parliament and of the Council on the establishment of a European Credit System for Vocational Education and Training (ECVET) (June 18, 2009), http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:C:2009:155:0011:0018:EN:PDF (cited May 2011)
Recommendation of the European Parliament and of the Council on the establishment of the European Qualifications Framework for lifelong learning (April 23 2008), http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:C:2008:111:0001:0007:EN:PDF (cited May 2011)
Gatteschi, V., Lamberti, F., Salassa, F., Demartini, C.: An Automatic Tool Supporting Life-long Learning Based on a Semantic-Oriented Approach for Comparing Qualifications. In: IADIS International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2009), pp. 354–358 (2009)
Gatteschi, V., Lamberti, F., Sanna, A., Demartini, C.: Using taxonomies and ontologies to define occupation and education-driven European qualifications. IADIS International Journal on Computer Science and Information Systems 6, 30–44 (2011)
Gatteschi, V., Lamberti, F., Sanna, A., Demartini, C.: Using tag clouds to support the comparison of qualifications, résumés and job profiles. In: 9th IEEE International Conference on Emerging eLearning Technologies and Applications (ICETA2011), pp. 57–61 (2011)
Gatteschi, V., Lamberti, F., Sanna, A., Demartini, C.: A ranking tool exploiting semantic descriptions for the comparison of EQF-based qualifications. Journal of Universal Computer Science 17(7), 1060–1077 (2011)
Gestwicki, P.: Work in Progress – Curriculum Visualization. In: Frontiers In Education Conference (FIE 2008), pp. T3E13–T3E14 (2008)
Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing. In: Padua Workshop on Formal Ontology, pp. 1–23 (1993)
Hackelbusch, R.: Handling Heterogeneous Academic Curricula: National qualification systems integration using ontologies. In: DEXA 2006, pp. 344–348 (2006)
Harzallah, M., Leclere, M., Trichet, F.: CommOnCV: Modelling the competencies underlying a curriculum vitae. In: Proc. Int. Conf. SEKE, pp. 65–71 (2002)
Lv, H., Zhu, B.: Skill ontology-based semantic model and its matching algorithm. In: 7th International Conference on Computer-Aided Industrial Design and Conceptual Design CAIDCD 2006, pp. 1–4 (2006)
Hoffmann, M.: Using Blooms Taxonomy of learning to make engineering courses comparable. In: EAEEIE 19th Annual Conference (2008), pp. 205–209 (2008)
IEEE 1484.12.1 Final Draft Standard for Learning Object Metadata
Mirizzi, R., Di Noia, T., Di Sciascio, T.: A Semantic Web enabled System for Résumé Composition and Publication. In: IEEE International Conference on Semantic Computting (ICSC 2009), pp. 583–588 (2009)
Netcraft Web Server Survey, http://news.netcraft.com/archives/category/web-server-survey/ (cited May 2011)
Ohler, J.: The SemanticWeb in Education – What happens when the read-write web gets smart enough to help us organize and evaluate the information it provides? EDUCAUSE Quarterly Magazine 31(4), 7–9 (2008)
Pernici, B., Locatelli, P., Marinoni, C.: The eCCO System: An eCompetence Management Tool Based on Semantic Networks. In: Meersman, R., Tari, Z., Herrero, P. (eds.) OTM 2006 Workshops. LNCS, vol. 4278, pp. 1088–1099. Springer, Heidelberg (2006)
Poyry, P., Pelto-Aho, K., Puustjarvi, J.: The role of metadata in the CUBER system. In: Proceedings of the 2002 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists on Enablement Through Technology, pp. 16–18 (2002)
Poyry, P., Puustjarvi, J.: CUBER: a personalised curriculum builder. In: Proceedings of the 3rd IEEE International Conference on Advanced Learning Technologies, pp. 326–327 (2003)
Protégé user guide (2000), http://protege.stanford.edu/doc/usersguide/ (cited May 2011 )
Ronchetti, M., Sant, J.: Curriculum Management and Review: an ontology-based solution. In: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (ELEARN 2007), pp. 6476–6482 (2007)
Saini, P., Ronchetti, M.: Deriving ontology-based metadata for e-learning from the ACM Computing Curricula. In: IADIS International Conference e-Society 2003, pp. 892–898 (2003)
Sampson, D., Fytros, D.: Competence Based Educational Metadata for Supporting Lifelong Competence Development Programmes. In: The 8th IEEE International Conference on Advanced Learning Technologies (ICALT 2008), pp. 288–292 (2008)
Sommaruga, L., Catenazzi, N.: Curriculum visualization in 3D. In: 12th International Conference on 3D Web Technology, pp. 177–180 (2007)
Spivey, G.: A Taxonomy for learning, teaching, and assessing Digital Logic Design. Frontier. In: Education Conference – Global Engineering: Knowledge Without Borders, Opportunities Without Passports (FIE 2007), pp. F4G-9–F4G-14 (2007)
Staab, S., Studer, R.: Handbook on Ontologies. International handbooks of Information Systems. Springer (2004)
Starr, C.W., Manaris, B.Z., Stalvey, R.H.: Bloom’s taxonomy revisited: specifying assessable learning objectives in computer science. SIGCSE (2008), 261–265 (2008)
Tao, F.B., Millard, D., Davis, H., Woukeu, A.: Managing the Semantic Aspects of Learning using the Knowledge Life Cycle. In: The 5th IEEE International Conference on Advanced Learning Technologies (ICALT 2005), pp. 575–579 (2005)
Tiropanis, T., Davis, H., Millard, D., Weal, M.: Semantic Technolologies for Learning and Teaching in the Web 2.0 Era. IEEE Intelligent Systems 24(6), 49–53 (2009)
Unified Modeling Language (UML), http://www.uml.org/ (cited May 2011)
UMLGraph, http://www.umlgraph.org/ (cited May 2011)
W3C OWLWeb Ontology Language, http://www.w3.org/TR/owl-features/ (cited May 2011)
Wordle, http://www.wordle.net/ (cited May 2011)
WordNet, http://wordnet.princeton.edu/ (cited November 2011)
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Gatteschi, V., Lamberti, F., Demartini, C. (2013). On the Use of Semantic Technologies to Support Education, Mobility and Employability. In: Anagnostopoulos, I., Bieliková, M., Mylonas, P., Tsapatsoulis, N. (eds) Semantic Hyper/Multimedia Adaptation. Studies in Computational Intelligence, vol 418. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28977-4_4
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