An OWL-Based Ontology to Represent Interactions of Students in Educational Virtual Worlds

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Tito Armando Rossi Filho Aliane Loureiro Krassmann Liane Margarida Rockenbach Tarouco Patricia Alejandra Behar


While several studies in the last decade explore the potential benefits of virtual worlds in education settings, less attention has been given to the research of solutions to help overcome implementation barriers. One of the existing areas of concern is related to the difficulties on the exploitation of data obtained from educational virtual worlds. This paper proposes an OWL-based ontology to address a solution to the problem of inconsistency of databases that record information about student interactions with learning objects within these environments. The steps that have been followed for the development of the ontology are described, guided by Stanford’s 101 model. In order to discuss the feasibility and exemplify the ontology, an instance of an existing virtual world interaction is presented. The conclusion is that the proposed ontology can be helpful to researchers and development groups as it delivers a reusable model to gather data in a uniform way.


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Rossi Filho, T., Krassmann, A., Tarouco, L. M., & Behar, P. (2017). An OWL-Based Ontology to Represent Interactions of Students in Educational Virtual Worlds. International Journal for Innovation Education and Research, 5(7), 49-63. Retrieved from


Allison, C., Miller, A., Sturgeon, T., Nicoll, J. R., & Perera, I. (2010, October). Educationally enhanced virtual worlds. In Frontiers in Education Conference (FIE), 2010 IEEE (pp. T4F-1). IEEE.
Balderas, Antonio, et al. "Retrieving Objective Indicators from Student Logs in Virtual Worlds." Journal of Information Technology Research (JITR) 10.3 (2017): 69-83.
Bille, W., Pellens, B., Kleinermann, F., De Troyer, O. (2004). Intelligent Modelling of Virtual Worlds Using Domain Ontologies. IVEVA, 97.
Bernstein, P.A., Haas, L. (2008). Information integration in the enterprise. Commun. ACM 51(9), 72–79.
Bloehdorn, S., Haase, P., Huang, Z., Sure, Y., Völker, J., van Harmelen, F., Studer, R. (2009). Ontology Management, Semantic Knwoledge Management, Springer.
D. L. McGuinness and F. van Harmelen. OWL web ontology language overview, Junho 2004.
DCMI, Dublin Core Metadata Initiative (2012). Available at
De Troyer, O., Bille, W., Romero, R., & Stuer, P. (2003). On Generating Virtual Worlds from Domain Ontologies. In MMM (pp. 279-294).
Eguchi A., Thompson, C. (2011), Towards a Sematic World: Smart Objects In A Virtual World, International Journal of Computer Information System and Industrial Management Applications, Volume 3, pp.905-911.
Freitas, S., Rebolledo-Mendez, G. Liarokapis, F., Magoulas, G., Poulovassilis, A. (2010). Learning as immersive experiences: Using the four-dimensional framework for designing and evaluating immersive learning experiences in a virtual world. British Journal of Educational Technology. Volume 41, Issue 1, January 2010, Pages 69–85.
Gali, A., Chen, C. X., Claypool, K. T., & Uceda-Sosa, R. (2004, November). From ontology to relational databases. In International Conference on Conceptual Modeling (pp. 278-289). Springer Berlin Heidelberg.
González, M.M.A., Santos, B.S.N., Vargas, A.R., Martín-Gutiérreza, J., Orihuela, A.R. (2013)., Virtual Worlds. Opportunities and Challenges in the 21st Century.2013 International Conference on Virtual and Augmented Reality in Education, Procedia Computer Science 25 (2013) 330 – 337.
Gregory, S., Scutter, S., Jacka, S. L., McDonald, M., Farley, H. Newman, C. (2015).“Barriers and Enablers to the Use of Virtual Worlds in Higher Education: An Exploration of Educator Perceptions, Attitudes and Experiences”, Educational Technology & Society, 18 (1), 3–12.
Muñoz-Cristóbal, J. A., Prieto, L. P., Asensio-Pérez, J. I., Martínez-Monés, A., Jorrín-Abellán, I. M., Dimitriadis, Y. (2015). “Coming Down to Earth: Helping Teachers Use . Society, 18 (1), 13–26.
Noy, N., McGuinness, D. (2001). “Ontology Development 101: A Guide to Creating Your First Ontology,” Stanford University.
Quackenbush, J. (2004). Data standards for 'omic' science. Nature Biotechnology, 22: 613–614.
Reisoğlu, I., Topu, B., Yılmaz, R., Yılmaz, T. K., & Göktaş, Y. (2017). 3D virtual learning environments in education: a meta-review. Asia Pacific Education Review, 18(1), 81-100.
Rico, M., Martinez-Muñoz, G., Alaman, X., Camacho, D., Pulido, E. (2011), A Programming Experience of High School Students in a Virtual World Platform. International Journal of Engineering Education Vol. 27, No. 1, pp. 1–9.
Rodriguez, M.A., Bollen, J., Van de Sompel, H. (2007). A Practical Ontology for the Large-Scale Modeling of Scholarly Artifacts and their Usage. JCDL’07, June 17–22, 2007, Vancouver, British Columbia, Canada.
Rudman, P., Lavelle, S.P., Salmon, G., Cashmore, A. (2010). SWIFT-ly enhancing laboratory learning: genetics in the virtual world. ALT-C 2010 Conference Proceedings.p.118-128.
Shamdasani, J., Bloodsworth, P., Hauer, T., Branson, A. Odeh, M., McClatchey, R. (2011). A Criteria for Selecting Background Knowledge for Domain Specific Semantic Matchin, CEUR Workshop Proceedings.
Soto, M., & Allongue, S. (1997, June). A semantic approach of virtual worlds interoperability. In Enabling Technologies: Infrastructure for Collaborative Enterprises, 1997. Proceedings., Sixth IEEE Workshops on (pp. 173-178). IEEE.
Tibola, L., Voss, G., Avila, B., Tarouco, L., Sgobbi, F. (2014, October). Virtual laboratory for promoting engagement and complex learning. In E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (Vol. 2014, No. 1, pp. 1933-1938).
Thompson, C. (2011). Next-Generation Virtual Worlds: Architecture, Status, and Directions. IEEE Internet Computing, Jan/Feb, pp.60-65.
Tudorache, T., Nyulas, C., Noy, N., Musen, M. (2011). WebProtégé: A Collaborative Ontology Editor and Knowledge Acquisition Tool for the Web, Semantic Web 11-165, IOS Press.
Yoon, T. E., George, J.F. (2013). “Why aren’t organizations adopting virtual worlds?”, Computers in Human Behavior, Vol. 29, Issue 3.
Wiley, D. A. (2003). Connecting learning objects to instructional design theory: A definition, a metaphor, and a taxonomy.