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Enrichment of the Dataset of Joint Educational Entities with the Web of Data

Authors :
Davide Taibi
Alessandro Marani
Matteo Lombardi
Carla Limongelli
Limongelli, Carla
Lombardi, Matteo
Marani, Alessandro
Taibi, Davide
Source :
ICALT, The 17th IEEE International Conference on Advanced Learning Technologies-ICALT2017, pp. 528–529, Timisoara, 03-07/07/2017, info:cnr-pdr/source/autori:Limongelli Carla; Lombardi Matteo; Marani Alessandro; Taibi Davide/congresso_nome:The 17th IEEE International Conference on Advanced Learning Technologies-ICALT2017/congresso_luogo:Timisoara/congresso_data:03-07%2F07%2F2017/anno:2017/pagina_da:528/pagina_a:529/intervallo_pagine:528–529
Publication Year :
2017
Publisher :
IEEE, 2017.

Abstract

The public availability of datasets of teaching resources is an issue for the design, development and evaluation of Information Retrieval and Recommender Systems in Technology Enhanced Learning. Recently, the Dataset of Joint Educational Entities (DAJEE) has provided the community with a very exhaustive collection of resources coming from Massive Open Online Courses. This work proposes a representation of the DAJEE dataset according to Linked Data principles, interlinking the large amount of resources in DAJEE with the Web of Data. The transcript of the educational resources in DAJEE have been annotated through a Named Entity Recognition tool in order to create interlinks with the DBpedia entities. The DBpedia knowledge base provides additional information related to categories, that can be exploited to infer new knowledge and support reasoning processes.

Details

Database :
OpenAIRE
Journal :
2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)
Accession number :
edsair.doi.dedup.....09b8e9768ae43c73b5ba1443a8da5714
Full Text :
https://doi.org/10.1109/icalt.2017.13