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An Agent-based Federated Learning Object Search Service

, , Vale do Rio dos Sinos University, Brazil ; , Federal University of Rio Grande do Sul, Brazil

IJELLO Volume 7, Number 1, ISSN 1552-2237 Publisher: Informing Science Institute


The cataloging process represents one of the greatest issues in respect to the use of learning objects because it is through this process that appropriate objects can be found through search engines. Incorrect cataloging causes inefficacy in the search process, and this situation is aggravated when the objects are distributed and maintained in several distinct repositories. The present work proposes the creation of an agent-based federated catalog of learning objects: the AgCAT system. This system is part of the MILOS infrastructure, which will provide the computational support to the OBAA metadata proposal, a Brazilian initiative to create a new learning object metadata standard, able to support the requirements of multi-platform adaptability, compatibility with current standards, special needs accessibility, and technological independence of hardware and software platforms. The paper presents the functional structure and organization of the AgCAT system, showing its architecture, the main aspects of its prototype, and main results obtained till now.


Barcelos, C., Gluz, J. & Vicari, R. (2011). An Agent-based Federated Learning Object Search Service. Interdisciplinary Journal of E-Learning and Learning Objects, 7(1), 37-54. Informing Science Institute. Retrieved September 25, 2023 from .



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