Name
Abstract | ||
|---|---|---|
Ontology is a promising tool to model and reason about context in-formation in pervasive computing environment. However, ontology does not support representation and reasoning about uncertainty. Besides, the underlying rule-based reasoning mechanism of current context-aware systems obviously can not reason about ambiguity and vagueness in context information. In this paper, we present an ongoing research on context modeling which follows the ontology-based approach while supports representation and reasoning about uncertain context. This unified context model then is used as a framework in our implementation of the context management and reasoning module of our context-aware middleware for ubiquitous systems. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11596042_59 | EUC Workshops |
Keywords | Field | DocType |
reasoning module,probabilistic model,context information,context modeling,uncertain context,context management,unified context model,context ontology,context-aware middleware,context in-formation,current context-aware system,underlying rule-based reasoning mechanism,middleware,pervasive computing,context model,rule based reasoning | Data science,Ontology (information science),Ontology,Context management,Computer science,Expert system,Context model,Artificial intelligence,Suggested Upper Merged Ontology,Knowledge base,Ubiquitous computing,Distributed computing | Conference |
Volume | ISSN | ISBN |
3823 | 0302-9743 | 3-540-30803-2 |
Citations | PageRank | References |
1 | 0.35 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Binh An Truong | 1 | 31 | 1.83 |
| Young-Koo Lee | 2 | 2073 | 188.97 |
| Sung Young Lee | 3 | 21 | 4.35 |