Name
Abstract | ||
|---|---|---|
In general, formal knowledge representation enables computers characterize relevant information related to determined process elements and actors in a domain for specific advanced reasoning. In the eLearning domain, several mechanisms of knowledge representation have been proposed, such as standards, technological specifications and ontologies. Both ontologies and specifications play an important role in eLearning systems because they offer an explicit conceptualisation allowing key concepts and terms relevant to a given domain to be identified and defined in a structure able to facilitate reasoning, use and exchange knowledge between the components and users of its systems and by that, to contribute to the increase of its computational intelligence. In this paper we introduce the importance of the knowledge representation mechanisms to support the generation of adaptable eLearning services for all. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.procs.2012.10.045 | Procedia Computer Science |
Keywords | Field | DocType |
Knowledge Representation,Ontologies,eLearning,Diversity | Computer-Assisted Instruction,Ontology (information science),Educational technology,Body of knowledge,Data mining,Knowledge representation and reasoning,Computational intelligence,Computer science | Journal |
Volume | ISSN | Citations |
14 | 1877-0509 | 3 |
PageRank | References | Authors |
0.46 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| João Sarraipa | 1 | 111 | 21.76 |
| Silvia Baldiris | 2 | 43 | 11.58 |
| Ramón Fabregat | 3 | 107 | 25.34 |
| Ricardo Jardim-Gonçalves | 4 | 393 | 98.39 |