Computational data modeling for network-constrained moving objects
GIS '03 Proceedings of the 11th ACM international symposium on Advances in geographic information systems
A Pipelined Framework for Online Cleaning of Sensor Data Streams
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
A Lattice-Based Semantic Location Model for Indoor Navigation
MDM '08 Proceedings of the The Ninth International Conference on Mobile Data Management
Digraphs: Theory, Algorithms and Applications
Digraphs: Theory, Algorithms and Applications
Towards an Indoor Level-of-Detail Model for Route Visualization
MDM '09 Proceedings of the 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness
A Foundation for Efficient Indoor Distance-Aware Query Processing
ICDE '12 Proceedings of the 2012 IEEE 28th International Conference on Data Engineering
Daisy: the center for data-intensive systems at Aalborg University
ACM SIGMOD Record
Reasoning about RFID-tracked moving objects in symbolic indoor spaces
Proceedings of the 25th International Conference on Scientific and Statistical Database Management
UniModeling: a tool for the unified modeling and reasoning in outdoor and indoor spaces
SSTD'13 Proceedings of the 13th international conference on Advances in Spatial and Temporal Databases
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Geographic information systems traditionally dealt with only outdoor spaces. In recent years, indoor spatial information systems have started to attract attention partly due to the increasing use of receptor devices (e.g., RFID readers or wireless sensor networks) in both outdoor and indoor spaces. Applications that employ these devices are expected to span uniformly and supply seamless functionality in both outdoor and indoor spaces. What makes this impossible is the current absence of a unified account of these two types of spaces both in terms of modeling and reasoning about the models. This paper presents a unified model of outdoor and indoor spaces and receptor deployments in these spaces. The model is expressive, flexible, and invariant to the segmentation of a space plan, and the receptor deployment policy. It is focused on partially constrained outdoor and indoor motion, and it aims at underlying the construction of future, powerful reasoning applications.