Qualitative representation of spatial knowledge in two-dimensional space
The VLDB Journal — The International Journal on Very Large Data Bases - Spatial Database Systems
Using Orientation Information for Qualitative Spatial Reasoning
Proceedings of the International Conference GIS - From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning on Theories and Methods of Spatio-Temporal Reasoning in Geographic Space
Efficient Evaluation of Continuous Range Queries on Moving Objects
DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
Evaluating probabilistic queries over imprecise data
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Main Memory Evaluation of Monitoring Queries Over Moving Objects
Distributed and Parallel Databases
CAMAS: a citizen awareness system for crisis mitigation
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Managing uncertainty in moving objects databases
ACM Transactions on Database Systems (TODS)
Querying Imprecise Data in Moving Object Environments
IEEE Transactions on Knowledge and Data Engineering
Index for fast retrieval of uncertain spatial point data
GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems
Efficient indexing methods for probabilistic threshold queries over uncertain data
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
SAT: spatial awareness from textual input
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
Index for fast retrieval of uncertain spatial point data
GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Human-robot communication for collaborative decision making - A probabilistic approach
Robotics and Autonomous Systems
On quantifying qualitative geospatial data: a probabilistic approach
Proceedings of the Second ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information
| Hi-index | 0.00 |
Situational awareness (SA) applications monitor the real world and the entities therein to support tasks such as rapid decision-making, reasoning, and analysis. Raw input about unfolding events may arrive from variety of sources in the form of sensor data, video streams, human observations, and so on, from which events of interest are extracted. Location is one of the most important attributes of events, useful for a variety of SA tasks. In this paper, we propose an approach to model and represent (potentially uncertain) event locations described by human reporters in the form of free text. We analyze several types of spatial queries of interest in SA applications. Our experimental evaluation demonstrates the effectiveness of our approach.