An API for integrating spatial context models with spatial reasoning algorithms Export

@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 = {Kjaergaard, M. B.}, citeulike-article-id = {1108259}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/PERCOMW.2006.19}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1598930}, doi = {10.1109/PERCOMW.2006.19}, journal = {Pervasive Computing and Communications Workshops, 2006. PerCom Workshops 2006. Fourth Annual IEEE International Conference on}, keywords = {model, pvc, spatial}, pages = {6 pp.+}, posted-at = {2008-03-12 22:29:26}, priority = {2}, 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 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. JF - Pervasive Computing and Communications Workshops, 2006. PerCom Workshops 2006. Fourth Annual IEEE International Conference on TI - An API for integrating spatial context models with spatial reasoning algorithms SP - 6 pp. KW - model KW - pvc KW - spatial AU - Kjaergaard, MB PY - 2006/// UR - http://dx.doi.org/10.1109/PERCOMW.2006.19 ER -