Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 25 - 30 |
| Number of pages | 6 |
| Journal | International Journal of Pervasive Computing and Communications |
| Volume | 1 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2005 |
| MoE publication type | A1 Journal article-refereed |
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Keywords
- heterogeneity
- context awareness
- positioning
- semantics
Cite this
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Handling heterogeneity in context aware services. / Van Eijk, Ronald; Salden, Alfons; Peddemors, Arjan; De Heer, Johan; Määttä, Petri; Haataja, Ville.
In: International Journal of Pervasive Computing and Communications, Vol. 1, No. 1, 2005, p. 25 - 30.Research output: Contribution to journal › Article › Scientific › peer-review
TY - JOUR
T1 - Handling heterogeneity in context aware services
AU - Van Eijk, Ronald
AU - Salden, Alfons
AU - Peddemors, Arjan
AU - De Heer, Johan
AU - Määttä, Petri
AU - Haataja, Ville
PY - 2005
Y1 - 2005
N2 - The increasing number of context aware services, which depend on various multimodal sensing, processing and actuating techniques, technologies and formats ask for a physical framework that is able to handle their heterogeneity. Thereto, we propose a context model bridging the semantic gaps between context aware services. In addition we propose a simple system architecture of Distribution Servers and Transformation Servers that bridge semantic gaps among context aware services. Applying our framework we solve the heterogeneity problem existing for location services. Location is typically a form of context where heterogeneity is a problem.
AB - The increasing number of context aware services, which depend on various multimodal sensing, processing and actuating techniques, technologies and formats ask for a physical framework that is able to handle their heterogeneity. Thereto, we propose a context model bridging the semantic gaps between context aware services. In addition we propose a simple system architecture of Distribution Servers and Transformation Servers that bridge semantic gaps among context aware services. Applying our framework we solve the heterogeneity problem existing for location services. Location is typically a form of context where heterogeneity is a problem.
KW - heterogeneity
KW - context awareness
KW - positioning
KW - semantics
U2 - 10.1108/17427370580000110
DO - 10.1108/17427370580000110
M3 - Article
VL - 1
SP - 25
EP - 30
JO - International Journal of Pervasive Computing and Communications
JF - International Journal of Pervasive Computing and Communications
SN - 1742-7371
IS - 1
ER -