Name
Abstract | ||
|---|---|---|
This paper presents a Multi-agent System and a Methodology to select and to integrate heterogenous and distributed information sources to make recommendations. A set of intrinsic characteristics has been defined. These characteristics allow having a description of the information contained in the sources to select the most relevant information sources. Ontologies are used to integrate the information from the selected sources. And a case study confirms our proposal. |
Year | Venue | Keywords |
|---|---|---|
2005 | CCIA | relevant information source,information source,integrating information source,recommender system,intrinsic characteristic,multi-agent system,case study,selected source |
Field | DocType | Volume |
Ontology (information science),Recommender system,Information integration,Ontology,Information retrieval,Computer science,Information filtering system,Negotiation | Conference | 131 |
ISSN | ISBN | Citations |
0922-6389 | 1-58603-560-6 | 2 |
PageRank | References | Authors |
0.44 | 7 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Silvana Aciar | 1 | 107 | 8.02 |
| Josefina López Herrera | 2 | 2 | 1.46 |
| Josep Lluis de la Rosa | 3 | 95 | 14.92 |