Implementing a qualitative calculus to analyse moving point objects
| Autor: | Anthony G. Cohn, Matthias Delafontaine, Nico Van de Weghe |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Computer science
GPS media_common.quotation_subject Motion (physics) MOVEMENT TRACKING SYSTEMS Artificial Intelligence Human–computer interaction Information system KNOWLEDGE Qualitative calculus media_common Point (typography) business.industry General Engineering Moving point objects Computer Science Applications Earth and Environmental Sciences Implementation DISTANCE PATTERNS Conceptual model Artificial intelligence TRAJECTORIES business |
| Zdroj: | EXPERT SYSTEMS WITH APPLICATIONS |
| ISSN: | 0957-4174 |
| DOI: | 10.1016/j.eswa.2010.10.042 |
| Popis: | Research highlights? Generic conceptual model to analyse MPOs through a Qualitative Trajectory Calculus (QTC). ? Implementation prototype for a QTC-based information system (QTCAnalyst). ? Case study 1: using QTCAnalyst to analyse a traffic situation in QTC-Basic. ? Case study 2: using QTCAnalyst to analyse a squash game in QTC- Double-Cross. Due to recent technological advances in position-aware devices, data about moving objects is becoming ubiquitous. Yet, it is a major challenge for spatial information systems to offer tools for the analysis of motion data, thereby evolving from static to dynamic frameworks. This paper aims to contribute to this area by introducing an implementation prototype for an information system based on the Qualitative Trajectory Calculus, a spatiotemporal calculus to represent and reason about moving point objects. |
| Databáze: | OpenAIRE |
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