Coalla : a model for collaborative editing and consistency management of geographic content

Geographic content production and maintenance is often done through a combination of various contributions. Thus, updating IGN geographic data relies on integrating data from partners or by involving field change alerts. This is also the case of free content produced by community projects such as OpenStreetMap. An important problem is quality management of collaboratively produced geographic content, in particular consistency management. This allows for decision-making which is based on this content. Data consistency depends on how homogenous space representation is. Likewise, it depends on preserving important non-explicit information that can be found on the geometries of the entities described in the content. This Thesis proposes a model baptized Coalla for collaborative editing of geographic content with consistency management. The model has three contributions: 1) identifying and defining elements that should be included in a formal vocabulary to facilitate the construction of collaborative geographic content, 2) user assistance process to help users build on the fly a formal vocabulary extracted from formal IGN databases specifications and existing collaborative vocabularies, and 3) a strategy for evaluating and reconciling user contributions in order to coherently integrate them into the content. Our model Coalla has been implemented in a prototype

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Field Value
Source https://theses.hal.science/tel-00952250
Author Brando Escobar, Carmen
Maintainer CCSD
Last Updated May 6, 2026, 05:46 (UTC)
Created May 6, 2026, 05:46 (UTC)
Identifier NNT: 2013PEST1005
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Cartographie et Géomatique (COGIT) ; Laboratoire des Sciences et Technologies de l'Information Géographique (LaSTIG) ; École nationale des sciences géographiques (ENSG) ; Institut National de l'Information Géographique et Forestière [IGN] (IGN)-Institut National de l'Information Géographique et Forestière [IGN] (IGN)-École nationale des sciences géographiques (ENSG) ; Institut National de l'Information Géographique et Forestière [IGN] (IGN)-Institut National de l'Information Géographique et Forestière [IGN] (IGN)
creator Brando Escobar, Carmen
date 2013-04-05T00:00:00
harvest_object_id c3ad031b-edc1-4ee9-9eff-1594982caf00
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-04-30T00:00:00
set_spec type:THESE