Name
Abstract | ||
|---|---|---|
In this article, the authors present an approach for context-aware and QoS-enabled learning content provisioning, one of the essential elements in ubiquitous learning. The essence of the system is recommending the right content, in the right form, to the right learner, based on a wide range of user context information and QoS requirements. To facilitate knowledge interoperability and sharing, they modeled the learner context, content knowledge, and domain knowledge using ontologies. They first propose a knowledge-based semantic recommendation method to acquire the content the user really wants and needs to learn. Then, a fuzzy logic-based decision-making strategy and an adaptive QoS mapping mechanism determine the appropriate presentation according to user's QoS requirements and device/network capability. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/MPRV.2008.69 | IEEE Pervasive Computing |
Keywords | Field | DocType |
user context information,ubiquitous learning,right form,right content,knowledge interoperability,content knowledge,learner context,content provisioning,domain knowledge,adaptive qos mapping mechanism,right learner,qos requirement,ontology,ubiquitous computing,fuzzy logic,semantic web,open systems,bandwidth,qos,quality of service,adaptability,ontologies,operating systems,knowledge base | Ontology (information science),Knowledge sharing,Domain knowledge,Interoperability,Computer science,Semantic Web,Provisioning,Adaptive quality of service multi-hop routing,Human–computer interaction,Ubiquitous computing,Multimedia | Journal |
Volume | Issue | ISSN |
7 | 4 | 1536-1268 |
Citations | PageRank | References |
12 | 0.87 | 4 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhiwen Yu | 1 | 2753 | 220.67 |
| Yuichi Nakamura | 2 | 78 | 7.04 |
| Daqing Zhang | 3 | 3619 | 217.31 |
| Shoji Kajita | 4 | 147 | 21.92 |
| Kenji Mase | 5 | 1066 | 308.34 |