The number of digital resources that exist in repositories and on the Internet in general is enormous. Recovering resources that fit with the user’s specific needs poses a problem. To solve this problem, metainformation is added to the resources. One type of metainformation is the classification of a resource using a classification system that is widely recognised and agreed upon by its users. In this way, each resource is assigned a precise place within the classification system, thus facilitating its location. This article proposes a taxonomy for the classification of the resources (notes, exercises, exams or programmes that could be stored within a digital repository) that are generated within the scope of a Mathematical Logic course for a computer science degree programme. It also describes how to represent the proposed taxonomy using the IMS-VDEX standard and how to integrate it in the LOM and Dublin Core metadata specifications and proposes a set of controlled vocabularies that make it possible to refine the taxonomic metainformation.
MendesMMCarvalhoVCAraújoRDet al. Clustering learning objects in the IEEE-LOM standard considering learning styles to support customized recommendation systems in educational environments. In: Proceedings twelfth Latin American conference on learning technologies, La Plata, Argentina, 9–13 October 2017, pp. 1–8. New York: IEEE.
11.
CrookCSutherlandR.Technology and theories of learning. In: DuvalESharplesMSutherlandR (eds) Technology enhanced learning – research themes. Cham: Springer, 2017, pp. 11–27.
12.
McClellandM.Metadata standards for educational resources. Computer2003; 36(11): 107–109.
13.
MathieuC.Practical application of the Dublin Core standard for enterprise metadata management. Bull Assoc Inform Sci Technol2017; 43(2): 29–34.
14.
ChoiY.Vocabulary Integration Reexamined. Int J Librariansh2018; 3(2): 96–102.
15.
GilchristA.Thesauri, taxonomies and ontologies–an etymological note. J Doc2003; 59(1): 7–18.
16.
ManiezJ.Los lenguajes documentales y de clasificación: concepción, construcción y utilización en los sistemas documentales. Madrid: Fundación Germán Sánchez RuiPérez, 1992.
17.
Fernández-PampillónA.The role of e-vocabularies in the description and retrieval of digital educational resources. Educ Sci2017; 7(1): 33.
18.
Van AsscheFCampbellLMRifónLAet al. Semantic interoperability: use of vocabularies with learning object metadata. In: Proceedings 3rd IEEE international conference on advanced technologies, Athens, 9–11 July 2003, pp. 511–514. New York: IEEE.
HubwieserPSentanceS.Taxonomies and competency models. In: SentanceSBarendsenESchulteC (eds) Computer science education: perspectives on teaching and learning in school. London: Bloomsbury Publishing, 2018, p. 221.
21.
PástorDJiménezJGómezOSet al. New perspectives in instructional design using semantic web technologies: a systematic literature review. Ing Desarro2018; 36(1): 216–239.
22.
LittlejohnA (ed.). Reusing online resources: a sustainable approach to eLearning. London: Kogan Page, 2003.
23.
ZapilkoBSchaibleJMayrPet al. TheSoz: a SKOS representation of the thesaurus for the social sciences. Semant Web2013; 4(3): 257–263.
24.
LermanS.Encyclopedia of mathematics education. Dordrecht: Springer, 2018.
25.
BurginMDodig-CrnkovicG. A taxonomy of computation and information architecture. In: Proceedings of the 2015 European conference on software architecture workshops, Croatia, 7–11 September 2015, pp. 19–31. New York: ACM.
26.
BorbaMCAskarPEngelbrechtJet al. Digital technology in mathematics education: research over the last decade. In: Proceedings of the 13th international congress on mathematical education, Hamburg, 24–31 July 2016. Cham: Springer, pp. 221–233.
HuJChenZCaiHet al. Semantic annotation and retrieval approach for historical testcases. In: Proceedings IEEE 14th international conference on E-business engineering, Shanghai, China, 4–6 November 2017, pp. 54–61. New York: IEEE.
32.
VeltmanKH.Syntactic and semantic interoperability: new approaches to knowledge and the semantic web. New Rev Inform Netw2001; 7(1): 159–183.
HaarslevVMöllerR. Optimization techniques for retrieving resources described in OWL/RDF documents: first results. In: Proceedings of the ninth international conference on principles of knowledge representation and reasoning, Whistler, BC, Canada, 2–5 June 2004, pp. 163–174. New York: ACM.
35.
W3C: SKOS Simple Knowledge Organization System Reference.W3C Recommendation18August2009, https://www.w3.org/TR/skos-reference/ (accessed 28 December 2018).
