Skip to main content

Using Semantic Web Technologies to Describe an Educational Domain

  • Conference paper
  • First Online:
  • 385 Accesses

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 677))

Abstract

This research presents a method to describe Learning Objects as Semantic Web compatible Ontologies. The proposed method divides the Ontologies among three layers. The first is composed by the knowledge domain, the second by the LOs and their relations, and the third is responsible for knowledge inference and reasoning. As study case, it is presented the Ontologies of LOM and OBAA metadata standards as part of the Layer One. The layer two is composed by the description of sample Learning Objects based on the properties and restrictions defines by the layer one ontologies. The layer three describes the knowledge inference axioms, which we defined as Application Profiles. Our current results can be resumed as a contribution to Ontology Engineering for Semantic Web applied to Digital Education.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    The Learning Object Metadata Standard [8] has an element set used to describe Learning Objects, it is considered a reference for such activity.

  2. 2.

    [17] was build mainly to extend LOM with platform interoperability aspects. It is a Brazilian Standard.

  3. 3.

    The Friend Of A Friend vocabulary is used to describe the relationships among Agents for the Semantic Web.

  4. 4.

    The LOM ontology is available to reuse through the following URIFootnote 5.

  5. 5.

    http://gia.inf.ufrgs.br/ontologies/LOM.owl.

  6. 6.

    The full OWL file can be accessed here: http://gia.inf.ufrgs.br/ontologies/OAS/Ramis/Ramis.owl.

  7. 7.

    https://www.w3.org/TR/rdf-sparql-query/.

References

  1. Adorni, G., Battigelli, S.: CADDIE and IWT: two different ontology-based approaches to anytime, anywhere and anybody learning. J. e-Learn. (2010)

    Google Scholar 

  2. Anderson, T., Whitelock, D.: The educational semantic web: visioning and practicing the future of education (2004)

    Google Scholar 

  3. d’Aquin, M.: Linked data for open and distance learning. Commonwealth of Learning report (2012)

    Google Scholar 

  4. Devedzic, V., Jovanovic, J., Gasevic, D.: The pragmatics of current e-learning standards. Internet Comput. IEEE 11(3), 19–27 (2007)

    Article  Google Scholar 

  5. Dicheva, D.: Ontologies and semantic web for e-learning. In: Adelsberger, H.H., Kinshuk, Pawlowski, J.M., Sampson, D.G. (eds.) Handbook on Information Technologies for Education and Training, pp. 47–65. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  6. Dietze, S.: Interlinking educational resources and the web of data: a survey of challenges and approaches. Progr.: Electron. Libr. Inf. Syst. 47(1), 60–91 (2013)

    Article  Google Scholar 

  7. Horrocks, I., Patel-Schneider, P.F., Boley, H., Tabet, S., Grosof, B., Dean, M., et al.: SWRL: a semantic web rule language combining OWL and RuleML. W3C Memb. Submiss. 21, 79 (2004)

    Google Scholar 

  8. IEEE. IEEE LOM final standard metadata (2002)

    Google Scholar 

  9. Kantor, P., Ricci, F., Rokach, L., Shapira, B.: Recommender Systems Handbook. Springer, Heidelberg (2011)

    MATH  Google Scholar 

  10. Klašnja-Milićević, A., Vesin, B., Ivanovic, M., Budimac, Z.: E-learning personalization based on hybrid recommendation strategy and learning style identification. Comput. Educ. 56(3), 885–899 (2011)

    Article  Google Scholar 

  11. Manouselis, N., Kastrantas, K.: An IEEE LOM application profile to describe training resources for agricultural & rural SMEs. In: Proceedings of Metadata and Semantics Research Conference (2007)

    Google Scholar 

  12. O’Connor, M., Das, A.: SQWRL: a query language for OWL. In: Proceedings of the 6th International Conference on OWL: Experiences and Directions, vol. 529, pp. 208–215. CEUR-WS.org (2009)

    Google Scholar 

  13. Plesch, C., Kaendler, C., Rummel, N., Wiedmann, M., Spada, H.: Identifying Areas of Tension in the field of technology-enhanced learning: results of an international Delphi study. Comput. Educ. 65(c), 92–105 (2013)

    Article  Google Scholar 

  14. Ruiz-Calleja, A., Vega-Gorgojo, G., Asensio-Pérez, J.I., Bote-Lorenzo, M.L., Gómez-Sánchez, E., Alario-Hoyos, C.: A linked data approach for the discovery of educational ICT tools in the web of data. Comput. Educ. 59(3), 952–962 (2012)

    Article  Google Scholar 

  15. Santos, O.C., Boticario, J.G.: Requirements for semantic educational recommender systems in formal e-learning scenarios. Algorithms 4(2), 131–154 (2011)

    Article  Google Scholar 

  16. Silva, J.M.C.D.: Análise técnica e pedagógica de metadados para objetos de aprendizagem (2011)

    Google Scholar 

  17. Vicari, R.M., Ribeiro, A., Silva, J.M.C., Santos, E.R., Primo, T., Bez, M.: Brazilian proposal for agent-based learning objects metadata standard - OBAA. In: Sánchez-Alonso, S., Athanasiadis, I.N. (eds.) MTSR 2010. CCIS, vol. 108, pp. 300–311. Springer, Heidelberg (2010). doi:10.1007/978-3-642-16552-8_27

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tiago Thompsen Primo .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing AG

About this paper

Cite this paper

Primo, T.T., Behr, A., Viccari, R. (2016). Using Semantic Web Technologies to Describe an Educational Domain. In: Koch, F., Koster, A., Primo, T., Guttmann, C. (eds) Advances in Social Computing and Digital Education. SOCIALEDU CARE 2016 2016. Communications in Computer and Information Science, vol 677. Springer, Cham. https://doi.org/10.1007/978-3-319-52039-1_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-52039-1_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52038-4

  • Online ISBN: 978-3-319-52039-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics