Knowledge engineering: principles and methods
Data & Knowledge Engineering - Special jubilee issue: DKE 25
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Building a Chemical Ontology Using Methontology and the Ontology Design Environment
IEEE Intelligent Systems
Ontology-Based Geographic Data Set Integration
STDBM '99 Proceedings of the International Workshop on Spatio-Temporal Database Management
Ontology based complex object recognition
Image and Vision Computing
A New Color-Namiing System for Graphics Languages
IEEE Computer Graphics and Applications
Web Semantics: Science, Services and Agents on the World Wide Web
Spatial Knowledge Representation on the Semantic Web
ICSC '10 Proceedings of the 2010 IEEE Fourth International Conference on Semantic Computing
Optimized description logic reasoning via core blocking
IJCAR'10 Proceedings of the 5th international conference on Automated Reasoning
| Hi-index | 0.00 |
The widespread introduction of satellite imagery with several spatial, spectral and temporal resolutions is a real opportunity to analyze and characterize the urban environment. These last few years, the Object-Based Image Analysis OBIA approach has been largely developed and applied for urban applications. However, a major issue in this approach is domain knowledge formalization and exploitation. In this paper, after a detailed presentation of related works in the domain of semantic interpretation using ontologies, a taxonomy of urban objects and a framework to describe urban objects and their spatial organization is presented. This taxonomy is then formalized in a domain ontology using the semantic web ontology language and rules OWL and SWRL.