Fusion, propagation, and structuring in belief networks
Artificial Intelligence
A Pipelined Framework for Online Cleaning of Sensor Data Streams
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Event queries on correlated probabilistic streams
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Cascadia: A System for Specifying, Detecting, and Managing RFID Events
Proceedings of the 6th international conference on Mobile systems, applications, and services
A Lattice-Based Semantic Location Model for Indoor Navigation
MDM '08 Proceedings of the The Ninth International Conference on Mobile Data Management
Bayesian Filtering for Location Estimation
IEEE Pervasive Computing
A Generic Framework for Continuous Motion Pattern Query Evaluation
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
A Sampling-Based Approach to Information Recovery
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Graph Model Based Indoor Tracking
MDM '09 Proceedings of the 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware
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
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
PERSONAF: framework for personalised ontological reasoning in pervasive computing
User Modeling and User-Adapted Interaction
An algebraic approach to image schemas for geographic space
COSIT'09 Proceedings of the 9th international conference on Spatial information theory
Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning
Creating probabilistic databases from imprecise time-series data
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness
A navigation ontology for outdoor-indoor space: (work-in-progress)
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness
An importance sampling algorithm based on evidence pre-propagation
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Divergence measures based on the Shannon entropy
IEEE Transactions on Information Theory
A Foundation for Efficient Indoor Distance-Aware Query Processing
ICDE '12 Proceedings of the 2012 IEEE 28th International Conference on Data Engineering
A Precise Information Flow Measure from Imprecise Probabilities
SERE '12 Proceedings of the 2012 IEEE Sixth International Conference on Software Security and Reliability
Towards a unified model of outdoor and indoor spaces
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
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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In recent years, indoor spatial data management has started to attract attention, partly due to the increasing use of receptor devices (e.g., RFID readers, and wireless sensor networks) in indoor, as well as outdoor spaces. There is thus a great need for a model that captures such spaces, their receptors, and provides powerful reasoning techniques on top. This paper reviews and extends a recent unified model of outdoor and indoor spaces and receptor deployments in these spaces. The extended model enables modelers to capture various information pieces from the physical world. On top of the extended model, this paper proposes and formalizes the route observability concept, and demonstrates its usefulness in enhancing the reading environment. The extended model also enables incorporating receptor data through a probabilistic trajectory-to-route translator. This translator first facilitates the tracking of moving objects enabling the search for them to be optimized, and second supports high-level reasoning about points of potential traffic (over)load, so-called bottleneck points. The functional analysis illustrates the behavior of the route observability function. The experimental evaluation shows the accuracy of the translator, and the quality of the inference and reasoning. The experiments are conducted on both synthetic data and uncleansed, real-world data obtained from RFID-tagged flight baggage.