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GeoPro 2003, international workshop on Semantic processing of spatial data 04/11/2003 05/11/2003 Mexico Mexique
nom du congrès :
GeoPro 2003, international workshop on Semantic processing of spatial data
début du congrès :
04/11/2003
fin du congrès :
05/11/2003
ville du congrès :
Mexico
pays du congrès :
Mexique
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contenu dans Semantic processing of spatial data, GEOPRO 2003, Mexico, November 2003 / S. Levachkine (2003)
Titre : Assisting users in selecting and restructuring data sets Type de document : Article/Communication Auteurs : Sandrine Balley , Auteur Editeur : Paris : Institut Géographique National - IGN (1940-2007) Année de publication : 2003 Conférence : GeoPro 2003, international workshop on Semantic processing of spatial data 04/11/2003 05/11/2003 Mexico Mexique Importance : pp 160 - 168 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] accès aux données localisées
[Termes IGN] jeu de données localisées
[Termes IGN] modèle conceptuel de données localisées
[Termes IGN] utilisateurRésumé : (Auteur) This paper addresses the issue of geographic data fitness for use. We want to assist users in finding data precisely adapted to their application's requirements. An approach is proposed to provide customised data sets, thanks to a system helping users to choose and to restructure existing data. This system mainly relies on a data set description model. This paper describes the issue and chosen approach for this beginning research project, but no result is presented yet. The core elements of the data set description model are presented at the end of the paper. Numéro de notice : C2003-004 Affiliation des auteurs : COGIT (1988-2011) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64983 Documents numériques
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contenu dans Semantic processing of spatial data, GEOPRO 2003, Mexico, November 2003 / S. Levachkine (2003)
Titre : A formal model for the specifications of geographic databases Type de document : Article/Communication Auteurs : Sébastien Mustière , Auteur ; Nils Gesbert, Auteur ; David Sheeren , Auteur Editeur : Paris : Institut Géographique National - IGN (1940-2007) Année de publication : 2003 Conférence : GeoPro 2003, international workshop on Semantic processing of spatial data 04/11/2003 05/11/2003 Mexico Mexique Importance : pp 152 - 159 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] base de données localisées
[Termes IGN] formalisation
[Termes IGN] modèle orienté objet
[Termes IGN] spécification de contenu
[Termes IGN] spécification de processusRésumé : (Auteur) In order to capture and manage their geographic databases, database producers use relatively huge and complex documents : the specifications. Actually, these are the only sources of information describing precisely what is the content of a database, i.e. what is the meaning of each part of the data schema, which object are captured and how they are represented. As such, they are an important tool to describe, manage, distribute, transform and federate databases. Unfortunately, even if they can be precisely organised, these specifications are usually expressed in natural language and thus in a poorly formalised language. Their manipulation is then a hard task, and their automatic manipulation is almost impossible. In this paper, we claim that formalising existing specifications is an important task and we propose an object-oriented model in order to do that. This model contains two main parts: a part formalising which objects of the real world should appear in the database, and a part describing how these objects are represented in the database. These model rely on a set of typical criteria encountered in database specifications: geometric criteria, relationship criteria, and nature criteria. Numéro de notice : C2003-003 Affiliation des auteurs : COGIT (1988-2011) Thématique : GEOMATIQUE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64982 Documents numériques
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A formal model for the specifications ... - pdf auteurAdobe Acrobat PDF Semantic processing of spatial data, GEOPRO 2003, Mexico, November 2003 / S. Levachkine (2003)
Titre : Semantic processing of spatial data, GEOPRO 2003, Mexico, November 2003 : Proceedings Type de document : Actes de congrès Auteurs : S. Levachkine, Éditeur scientifique ; J. Serra, Éditeur scientifique ; Max J. Egenhofer, Éditeur scientifique Editeur : Mexico : Instituto Politecnico Nacional Année de publication : 2003 Collection : Research on Computing Science Conférence : GeoPro 2003, international workshop on Semantic processing of spatial data 04/11/2003 05/11/2003 Mexico Mexique Importance : 254 p. Format : 21 x 27 cm ISBN/ISSN/EAN : 978-970-36-0103-5 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] données maillées
[Termes IGN] données vectorielles
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] hétérogénéité sémantique
[Termes IGN] interopérabilité sémantique
[Termes IGN] logiciel SIG
[Termes IGN] photo-interprétation assistée par ordinateur
[Termes IGN] référentiel sémantiqueNote de contenu : 1. RASTER-TO-VECTOR CONVERSION
- V. Alexandrov and S. Levachkine, "Cognitive promptings for semanticmind analysis and objectoriented data integration of information flows"
- S. Levachkine and V. Alexandrov, "Semanticmind analysis and objectoriented data integration of visual information: A primer"
- S. Levachkine, "System approach to R2V conversion for analytical GIS"
- A. Velizquez and S. Levachkine, "Text/Graphics separation in rasterscanned color cartographic maps"
- A. Gelbukh, SangYong Han, and S. Levachkine, "Using sources of evidence to resolve ambiguities in toponym recognition in cartographic maps"
- E. M. Felipe Riveron and M. E. Ramos Garcia, "Enhancement of digital color halftone printed images"
- J. Angulo and J. Serra, "Mathematical morphology in color spaces applied to the analysis of cartographic images"
- E. Bodansky, "System approach to a R2V conversion: From research to commercial system"
2. AUTOMATIC MAP GENERALIZATION
- A. Ruas, "Spatial analysis and agent principles to automate generalization process"
- D. Lee, "Generalization within a geoprocessing framework"
- T. Cheng and Zhifin Li, "Measures for semantic quality after polygon generalization"
- M. A. Moreno lbarra and S. Levachkine, "Automated digital map description for generalization"
3. AUTOMATIC GEOIMAGE INTERPRETATION
- U. Benz, P. Hofinann, G. Willhauck, I. Lingenfelder, and M. Heynen, "Multiresolution, objectoriented fuzzy analysis of remote sensing data to GIS ready information"
- O. Pogrebnyak and P. Manrique Ramirez, "Image filter for efficient impulse noise removal and fine detail preservation"
- J. Ren, Y. Shen, and L. Guo, "A novel image retrieval"
- SooHyun Cho, YunKoo Chung, and JaeYeon Lee, "Mosaicing system with strong of robustness in camera motion"
- R. Quintero Telfez, "Increasing resolution of Digital Elevation Models using bicubic parametric patches"
4. INTELLIGENT GIS TOOLS
- S. Mustière, N. Gesbert, and D. Sheeren, "A formal model for the specifications of geographic databases"
- S. Balley, "Assisting users in selecting and restructuring data sets"
- M. J. Torres Ruiz and S. Levachkine, "Generating spatial ontologies based on the spatial semantics"
- C. Granell Canut, J. Poveda, and M. Gould, "Incremental weak composition and invocation of geographic web services"
- J. Poveda and M. Gould, "Multidimensional binary indexing for neighbourhood calculations in spatial partition trees"
- J. Feng, N. Mukai, and T. Watanabe, "Multilevel transportation network adaptable to traffic navigation"
- Lau Bee Theng and Wang Yin Chai, "Sketch spatial query representation model"
- M. Pech, D. Sol Martinez, and J. Gonzilez, "Adaptation and use of spatial and nonspatial data mining"
- C. Zepeda Cortés and D. Sol Martinez, "An implementation of spatiotemporal annotated constraint logic programming (STACU)"
- A. F. Razo Rodriguez and D. Sol Martinez, "GISELA: a webbased interface for risk management GIS using XW'
- A. Guevara, "The spatial enabling of information paradigm"
5. GIS APPLICATIONS
- A. M. Felicisimo and J. Mufloz, "Dispersed by Wind Project: A Motion Analysis over Wind Fields"
- E. Ortiz, E. Ramirez, A. Rodriguez, E. Villaseflor, and J.M. Herrera, "Using GIS to assess spatial distribution of Mexico City emissions inventory"Numéro de notice : 13175 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Actes Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=34625 ContientExemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 13175-01 CG2003 Livre Centre de documentation Congrès Disponible 13175-02 CG2003 Livre Centre de documentation Congrès Exclu du prêt Spatial analysis and agent principles to automate generalisation process / Anne Ruas (2003)
contenu dans Semantic processing of spatial data, GEOPRO 2003, Mexico, November 2003 / S. Levachkine (2003)
Titre : Spatial analysis and agent principles to automate generalisation process Type de document : Article/Communication Auteurs : Anne Ruas , Auteur Editeur : Paris : Institut Géographique National - IGN (1940-2007) Année de publication : 2003 Conférence : GeoPro 2003, international workshop on Semantic processing of spatial data 04/11/2003 05/11/2003 Mexico Mexique Importance : pp 76 - 81 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse spatiale
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] système multi-agents
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) To generalise digital data, some efficient algorithms are required. Recent researches have enriched the library of algorithms allowing interactive generalisation of GIS. The automation of the process requires that the generalisation system is able to find automatically 'where and how to generalise'. The 'where' depends on the capacity of analysis: the system should be able to identify which objects do not respect the specifications. The 'How' depends on the existence of procedural knowledge which are rules that connect conflicts with the algorithms which are supposed to solve such conflicts. The AGENT prototype has been developed to provide the geographical objects with the capacity to qualify themselves (i.e. to recognise automatically the conflicts) and to apply appropriate algorithms to solve the existing conflicts. Moreover, a mechanism of control has been developed in order to backtrack and try another algorithm whenever the results are not as good as required. This paper explains the principles of self-generalisation at different level of details as well as the importance of spatial analysis for generalisation. Numéro de notice : C2003-002 Affiliation des auteurs : COGIT (1988-2011) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64981