An API for integrating spatial context models with spatial reasoning algorithms

@inproceedings{citeulike:1108259, abstract = {The integration of context-aware applications with spatial context models is often done using a common query language. However, algorithms that estimate and reason about spatial context information can benefit from a tighter integration. An object-oriented API makes such integration possible and can help reduce the complexity of algorithms making them easier to maintain and develop. This paper propose an object-oriented API for context models of the physical environment and extensions to a location modeling approach called geometric space trees for it to provide adequate support for location modeling. The utility of the API is evaluated in several real-world cases from an indoor location system, and spans several types of spatial reasoning algorithms.}, author = {Kj{\ae}rgaard, Mikkel B. }, booktitle = {Proceedings of the Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops}, citeulike-article-id = {1108259}, doi = {10.1109/PERCOMW.2006.19}, journal = {Proceedings of the Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops}, keywords = {location, location-model, mikkelbk, system-support}, month = {March}, pages = {18--23}, posted-at = {2007-11-29 18:04:21}, priority = {0}, title = {An API for integrating spatial context models with spatial reasoning algorithms}, url = {http://dx.doi.org/10.1109/PERCOMW.2006.19}, year = {2006} }

TY - CONF ID - citeulike:1108259 L3 - citeulike-article-id:1108259 TI - An API for integrating spatial context models with spatial reasoning algorithms T2 - Proceedings of the Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops JF - Proceedings of the Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops SP - 18 EP - 23 N2 - The integration of context-aware applications with spatial context models is often done using a common query language. However, algorithms that estimate and reason about spatial context information can benefit from a tighter integration. An object-oriented API makes such integration possible and can help reduce the complexity of algorithms making them easier to maintain and develop. This paper propose an object-oriented API for context models of the physical environment and extensions to a location modeling approach called geometric space trees for it to provide adequate support for location modeling. The utility of the API is evaluated in several real-world cases from an indoor location system, and spans several types of spatial reasoning algorithms. KW - location KW - location-model KW - mikkelbk KW - system-support AU - Kjærgaard, Mikkel PY - 2006/03// UR - http://dx.doi.org/10.1109/PERCOMW.2006.19 ER -