Abstract | ||
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In the last decade, several works proposed their own list of quality of context (QoC) criteria. This article relates a comparative study of these successive propositions. The result is that no consensus has been reached about the semantic and the comprehensiveness of QoC criteria. Facing this situation, the QoCIM meta-model offers a generic, computable and expressive solution to handle and to exploit any QoC criterion within distributed context managers and context-aware applications. For validation purposes, QoCIM is successfully applied to the modelling of a set of simple and composite QoC criteria. |
Year | DOI | Venue |
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2013 | 10.1007/978-3-642-40972-1_23 | Lecture Notes in Artificial Intelligence |
Keywords | DocType | Volume |
Quality of context,Quality criterion,Context management,Meta-modelling,Information model | Conference | 8175 |
ISSN | Citations | PageRank |
0302-9743 | 8 | 0.63 |
References | Authors | |
8 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Pierrick Marie | 1 | 25 | 3.77 |
Thierry Desprats | 2 | 71 | 16.66 |
Chabridon, S. | 3 | 138 | 18.95 |
Michelle Sibilla | 4 | 29 | 9.07 |