Collaborative Generalisation: Formalisation of Generalisation Knowledge to Orchestrate Different Cartographic Generalisation Processes

Cartographic generalisation seeks to summarise geographical information from a geographic database to produce a less detailed and readable map. This paper deals with the problem of making different automatic generalisation processes collaborate to generalise a complete map. A model to orchestrate the generalisation of different areas (cities, countryside, mountains) by different adapted processes is proposed. It is based on the formalisation of cartographic knowledge and specifications into constraints and rules sets while processes are described to formalise their capabilities. The formalised knowledge relies on generalisation domain ontology. For each available generalisation process, the formalised knowledge is then translated into process parameters by an adapted translator component. The translators allow interoperable triggers and allow the choice of the proper process to apply on each part of the space. Applications with real processes illustrate the usability of the proposed model.

[1]  Michael Lutz Ontology-Based Descriptions for Semantic Discovery and Composition of Geoprocessing Services , 2007, GeoInformatica.

[2]  William A. Mackaness,et al.  Creating Mountains out of Mole Hills: Automatic Identification of Hills and Ranges Using Morphometric Analysis , 2008, Trans. GIS.

[3]  S. Mustière Apprentissage supervise pour la generalisation cartographique , 2001 .

[4]  Robert Weibel,et al.  Where is the Terraced House? On the Use of Ontologies for Recognition of Urban Concepts in Cartographic Databases , 2008, SDH.

[5]  Tapani Sarjakoski,et al.  Simultaneous Graphic Generalization of Vector Data Sets , 2002, GeoInformatica.

[6]  Jantien E. Stoter,et al.  A Data Model for Multi-scale Topographical Data , 2008, SDH.

[7]  Laurence Jolivet,et al.  Acquiring service oriented descriptions of GI processing software from experts , 2008 .

[8]  Julien Gaffuri,et al.  Combining Three Multi-agent Based Generalisation Models: AGENT, CartACom and GAEL , 2008, SDH.

[9]  Anne Ruas,et al.  A Prototype Generalisation System Based on the Multi-Agent System Paradigm , 2007 .

[10]  Jantien Stoter,et al.  Investigations on cartographic constraint formalisation , 2007 .

[11]  Guillaume Touya,et al.  A Road Network Selection Process Based on Data Enrichment and Structure Detection , 2010, Trans. GIS.

[12]  Rob Lemmens,et al.  Lost and found, the importance of modelling map content semantically , 2008 .

[13]  Gerhard Weiss,et al.  Multiagent systems: a modern approach to distributed artificial intelligence , 1999 .

[14]  Ian Horrocks,et al.  Ontologies and the semantic web , 2008, CACM.