Rules are objects too: A knowledge model for an active, object-oriented databasesystem
Lecture notes in computer science on Advances in object-oriented database systems
Achieving scalability and expressiveness in an Internet-scale event notification service
Proceedings of the nineteenth annual ACM symposium on Principles of distributed computing
The TSQL2 Temporal Query Language
The TSQL2 Temporal Query Language
Modeling Moving Objects over Multiple Granularities
Annals of Mathematics and Artificial Intelligence
Survey of Spatio-Temporal Databases
Geoinformatica
Novel Approaches in Query Processing for Moving Object Trajectories
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Moving Objects Information Management: The Database Challenge
NGITS '02 Proceedings of the 5th International Workshop on Next Generation Information Technologies and Systems
K-Nearest Neighbor Search for Moving Query Point
SSTD '01 Proceedings of the 7th International Symposium on Advances in Spatial and Temporal Databases
Indexing Spatio-Temporal Data Warehouses
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Endurants and perdurants in directly depicting ontologies
AI Communications - Special issue on: Spatial and temporal reasoning
Selective data replication for distributed geographical data sets
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Event-based topology for dynamic planar areal objects
International Journal of Geographical Information Science
Modeling geospatial events and impacts through qualitative change
SC'06 Proceedings of the 2006 international conference on Spatial Cognition V: reasoning, action, interaction
Hi-index | 0.00 |
This paper presents an approach for modeling semantics associated with occurrents in geospatial domains. Occurrents correspond to what is commonly thought of as a happening or activity in the real world. We describe a modeling approach where representations of occurrents are modeled as classes of events. Additional semantics are gained by modeling specialized subclasses of event classes as derived events. Significant occurrents are modeled as noteworthy events, i.e., happenings or activities in a domain that require intervention, for example, an automated notification that a noteworthy event has been detected. The representation is extended to treat event sequences that capture a variety of occurrent-based semantics, modeling both routine and unexpected occurrents as experienced, for example, by moving entities, such as vessels in a harbor.