Paper Info
Title
LORSE: Intelligent meta-searcher of learning objects over distributed educational repositories based on intelligent agents
Abstract
This paper introduce LORSE, a multiagent system based on JADE (Java Agents Development Framework) to support teachers and students in the time consuming task of searching for distributed learning objects in several learning objects repositories such as MERLOT, Connexions and Fedora Commons Repositories, It offers them the possibility of developing this task in the context of a learning management system. LORSE consist of a set of intelligent agents, whose responsibility it is to deliver to users different learning objects in response to specific searches requested by the users. The agents connect with the repositories by means of RESTful web services clients developed as one of its behaviors and then they develop the searches over the learning objects metadata to provide a suitable response to users. The integration process of LORSE with the dotLRN platform is presented and some implementations results are introduced.
Year
DOI
Venue
2011
10.1109/FIE.2011.6142751
FIE
Keywords
Field
DocType
intelligent meta-searcher,educational repository,management system,java agents development framework,restful web services client,multiagent system,fedora commons repositories,learning objects repository,users different learning object,intelligent agent,time consuming task,dotlrn platform,suitable response,multi agent systems,web service,intelligent agents,ubiquitous computing,meta data,metadata,multiagent systems,interoperability,xml,web services
Metadata,Intelligent agent,World Wide Web,XML,Learning Management,Computer science,Interoperability,Knowledge management,Multi-agent system,Ubiquitous computing,Web service
Conference
ISSN
ISBN
Citations 
0190-5848
978-1-61284-467-1
2
PageRank 
References 
Authors
0.52
1
5
Name
Order
Citations
PageRank
Silvia Margarita Baldiris120.52
Jorge Luis Bacca220.52
Adriana Noguera Rojas320.52
Juan Carlos Guevara432.57
Ramon Fabregat5669.51