Name
Title | ||
|---|---|---|
Automatic Learning Object Extraction and Classification in Heterogeneous Environments. |
Abstract | ||
|---|---|---|
This paper proposes the use of federated databases techniques in searching for educational resources by using a learning object paradigm that describes these resources based on metadata. Combining a complete agent-based architecture that implements the concept of federated search along with IR technologies may help organizing and sorting search results in a meaningful way for educational content. The paper presents also the ground for an approach for semantic-aware learning content retrieval based on abstraction layers between the repositories and the search clients. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-19917-2_14 | HIGHLIGHTS IN PRACTICAL APPLICATIONS OF AGENTS AND MULTIAGENT SYSTEMS |
Keywords | Field | DocType |
Multi-agent systems,Distributed Computing,e-learning,learning objects,repositories,Simple Query Interface,learning technology standards,web services | Metadata,Architecture,World Wide Web,Federated search,Abstraction,Information retrieval,Computer science,Multi-agent system,Sorting,Learning object,Web service | Conference |
Volume | ISSN | Citations |
89 | 1867-5662 | 6 |
PageRank | References | Authors |
0.68 | 12 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ana B. Gil | 1 | 49 | 14.81 |
| Fernando De la Prieta | 2 | 263 | 41.90 |
| Sara Rodríguez | 3 | 6 | 0.68 |