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vol 15 n° 7 - october 2001 - Special issue : Ontlogy in the geographic domain (Bulletin de International journal of geographical information science IJGIS) / Stephan Winter
[n° ou bulletin]
Titre : vol 15 n° 7 - october 2001 - Special issue : Ontlogy in the geographic domain Type de document : Périodique Auteurs : Stephan Winter, Éditeur scientifique Année de publication : 2001 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] environnement
[Termes IGN] géographie humaine
[Termes IGN] modélisation
[Termes IGN] ontologie
[Termes IGN] système d'information géographiqueNuméro de notice : 079-0107 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Numéro de périodique Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=2946 [n° ou bulletin]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-01071 RAB Revue Centre de documentation En réserve L003 Disponible Uncertain topological relations between imprecise regions / Stephan Winter in International journal of geographical information science IJGIS, vol 14 n° 5 (july 2000)
[article]
Titre : Uncertain topological relations between imprecise regions Type de document : Article/Communication Auteurs : Stephan Winter, Auteur Année de publication : 2000 Article en page(s) : pp 411 - 430 Note générale : Bibliographie 1 page Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] base de données localisées
[Termes IGN] incertitude des données
[Termes IGN] modèle d'incertitude
[Termes IGN] modèle statistique
[Termes IGN] précision
[Termes IGN] qualité
[Termes IGN] région
[Termes IGN] relation topologiqueRésumé : (Auteur) Spatial databases are repositories of representations of the real world. The represented entities have to be observed in the real world and mapped to the database. An observation is interpreted here as a two-level process, consisting of the abstraction of the observed object to a concept and a measurement of the realized concept. Due to the nature of observations, regions representing the location of objects are always imprecise, the explication of a concept succeeds only incompletely, and the measurement is limited in precision. In this paper, the uncertainty in abstraction as well as the imprecision of measurement are modelled statistically. This allows the introduction of the uncertainty of observation into qualitative spatial reasoning. The example used in this paper is the determination of topological relations. The topological relation between two regions becomes uncertain if the regions are imprecise in their location. Hence, the decision about a topological relation is made by maximum likelihood classification. The classification allows a quantitative assessment of the decision by its probability, and by the probability of the alternative relations. The method is useful in data set comparison, data matching, and modelling data quality descriptions. Numéro de notice : A2000-124 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810050057579 En ligne : https://doi.org/10.1080/13658810050057579 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21540
in International journal of geographical information science IJGIS > vol 14 n° 5 (july 2000) . - pp 411 - 430[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-00051 RAB Revue Centre de documentation En réserve L003 Disponible Geographical domain and geographical information systems / Stephan Winter (2000)
Titre : Geographical domain and geographical information systems Type de document : Actes de congrès Auteurs : Stephan Winter, Éditeur scientifique Editeur : Vienne [Autriche] : Vienna University of Technology Année de publication : 2000 Collection : GeoInfo series num. 19 Conférence : Euroconference GIS 2000, ontology and epistemology for spatial data standards 22/09/2000 22/09/2000 La Londe-les-Maures France Importance : 122 p. Format : 15 x 21 cm ISBN/ISSN/EAN : 978-3-901716-20-1 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] accès aux données
[Termes IGN] données hétérogènes
[Termes IGN] exploration de données
[Termes IGN] modélisation spatiale
[Termes IGN] ontologieRésumé : (auteur) This book contains the abstracts from the EuroConference on ontology and epistemology for spatial data standards in La Londe-les-Maures (France, 22 september 2000 Note de contenu : - Modelling contiguity in a zone design context, Seraphim Alvanides
- GIS and spatial microsimulation for urban sys-tems modelling, Dimitris Ballas
- Concept hierarchies for searching geospatial data, J. A. Bariares, F. J. Zarazaga, J. Nogueras, J. Gutiérrez and P. R. Muro-Medrano
- Modelling vegetation as fuzzy spatial entities, Lucy Bastin and Peter Fisher
- A distributed environment using ontology for in-teroperability, Alain Becam, Maryvonne Miguel and Robert Laurini
- (Re)-defining the concept of spatial contiguity, Stefania Bertazzon
- Levels of reality in a cadaster, Steffen Bittner
- Operationalisation of the patch-concept in land-space ecology, Thomas Blaschke
- Users access to geographic information resources, Steffen Bittner
- Ontology, predicates, and identity, Carola Eschenbach
- The ontology of semantic information spaces, Sara Irina Fabrikant
- Locus: fourth geographical dimension of the geo-map, Sébastien Gadal and Georges Nicolas
- Ontologies for geographic knowledge discovery, Myke Gluck
- Approximate geometry and topology, David Gross
- The ontology of neighborhoods, David Gross
- Representing qualitative spatial knowledge in sche-matic maps, Alexander Klippel
- Concept lattices as a formai method for the inte-gration of geospatial ontologies, Margarita Kokla and Marinos Kavouras
- How to produce ontologiesWerner Kuhn
- Vague spatial reasoning based on supervaluation, Lars Kulik
- Spatial data models in Estonia, Tônu Oja, Jüri Roosaare, Raivo Aunap, Jüri Jagomägi
- Ontology and epistemology for agent-based wayfinc ing simulation,Martin Raubal
- Specification of terms to share heterogeneous in-formation, Christoph Rüther
- t. b.d., Barry Smith
- Matrix-calculus based method for qualitative spa-tial reasoning, Zoran Stojanovic
- Real estate and the ontology of multidisciplinary studies, Erik Stubkjœr
- Heiner Stuckenschmidt Semantic translation of land-use classifications, Erik Stubkjœr
- The role of ontologies in spatial data mining, Nectaria Tryfona
- Tribal boundaries of Australian indigenous peo-ples, Andrew Turk
- Are there vague boundaries?, Achille C. VarziNuméro de notice : 15933 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Résumé de communications Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81234 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 15933-01 37.30 Livre Centre de documentation Géomatique Disponible Unsichere topologische Beziehungen zwischen ungenauen Flächen / Stephan Winter (1996)
Titre : Unsichere topologische Beziehungen zwischen ungenauen Flächen Titre original : [Relations topologiques incertaines entre surfaces imprécises] Type de document : Thèse/HDR Auteurs : Stephan Winter, Auteur Editeur : Munich : Bayerische Akademie der Wissenschaften Année de publication : 1996 Collection : DGK - C Sous-collection : Dissertationen num. 465 Importance : 66 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-7696-9506-9 Note générale : Bibliographie Langues : Allemand (ger) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] classification bayesienne
[Termes IGN] incertitude de position
[Termes IGN] incertitude géométrique
[Termes IGN] logique floue
[Termes IGN] modèle mathématique
[Termes IGN] propagation d'erreur
[Termes IGN] raisonnement spatial
[Termes IGN] relation topologique
[Termes IGN] squelettisationRésumé : (Auteur) Uncertainty is an inherent property of observations. Abstracting the real world to conceptional objects is a step of generalization, and the measurement, taking place on abstracted objects, propagates this uncertainty, due to additional systematic, gross or random errors. Each spatial analysis is infected by these sources of uncertainty. It is necessary to introduce propagation of uncertainty in spatial reasoning to allow an assessment of the results. The scope of the thesis is to combine the process of observation with a mathematical model of qualitative spatial relations, modelling the randornness of the observations. A methodology is presented for probability-based decisions about spatial relations.
When determining spatial relations from positional uncertain objects, one has to distinguish between quantita-tive relations, which become imprecise, and qualitative relations, which become uncertain. Topological relations, being of qualitative nature, may or may not be true in presence of positional uncertainty. Assuming the overlay of two independent objects indicates a very small overlap, the question arises whether the two objects could be neighbored in reality. Comparing the degree of overlap to the size of uncertainty will allow to make a decision, and to assess this decision.
Because of the essential importance of considering uncertainty in spatial analysis, a theoretically well-based model of uncertainty is preferred against limitations in validity or meaning. Therefore, in this thesis, positio-nal uncertainty will be described stochastically, and the inference from this description to the uncertainty of derived spatial relations is treated with a statistical classification approach. Probabilities of single relations are determined, and the relation with maximum probability, given the evidence from observation, is chosen.
At the beginning the separation of abstraction and measurement within the observation process is discussed. The complexity of regions is limited by the smoothness of the boundary when related to its uncertainty.
In the following chapter the space of possible relations is reduced to two sub-graphs of the conceptual-neigh-borhood-graph of binary relations between regions. Depending on the sub-graph that the relation between two regions belongs to, different sets of intersection sets between the two objects become uncertain. To describe the uncertainty a morphological distance function is defined, based on the skeleton.
It is shown that it is sufficient to use the minimum and maximum distance, and to classify the relation, depending on the signs of these two values. For the first time the imprecision of measurement and the uncertainty of abstraction are described using probability densities. They are used to determine a vector of probabilities the sign of the distance values have, which is the basis for a Bayesian classification. From these distance classes the decision about the topological relation of the two objects is derived.
In the last chapter examples show the versatility of the proposed methodology.
Other approaches for handling uncertainty are discrete, using error bands, or fuzzy, with the problem of weaker results. With the strong connection to an observation process we hope to give a more valuable decision method, with probabilities as interpretable results, which should be useful! for the assessment and propagation in spatial reasoning processes.Numéro de notice : 28028 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Thèse étrangère Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=63375 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 28028-01 37.10 Livre Centre de documentation Géomatique Disponible 28028-02 37.10 Livre Centre de documentation Géomatique Disponible