Cross-repository aggregation of educational resources
Marcos Mouriño-García, Roberto Pérez‐Rodríguez, Luis Anido, Manuel José Fernández Iglesias, Víctor Manuel Darriba Bilbao · Computers & Education · 2017
The proliferation of educational resource repositories promoted the development of aggregators to facilitate interoperability, that is, a unified access that would allow users to fetch a given resource independently of its origin.The CROERA system is a repository aggregator that provides access to educational resources independently of the classification taxonomy utilized in the hosting repository.For that, an automated classification algorithm is trained using the information extracted from the metadata of a collection of educational resources hosted in different repositories, which in turn depends on the classification taxonomy used in each case.Then, every resource will be automatically classified on demand independently of the original classification scheme.As a consequence, resources can be retrieved independently of the original taxonomy utilized using any taxonomy supported by the aggregator, and exploratory searches can be made without a previous taxonomy mapping.This approach overcomes one of the recurring problems in taxonomy mapping, namely the one-to-none matching situation.To evaluate the performance of this proposal two methods were used.Resource classification in categories existing in all repositories was automatically evaluated, and a maximum performance (F 1 score) of 84% was achieved.