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Document: Thèse/HDR

Web-based architecture for on-demand maps - integrating meaningful generalization processing / Theodor Foerster (2010)

Web-based architecture for on-demand maps

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Titre :	Web-based architecture for on-demand maps - integrating meaningful generalization processing
Type de document :	Thèse/HDR
Auteurs :	Theodor Foerster, Auteur
Editeur :	Enschede [Pays Bas] : University of Twente
Année de publication :	2010
Collection :	ITC Dissertation num. 165
Importance :	193 p.
Format :	21 x 30 cm
ISBN/ISSN/EAN :	978-90-6164-285-5
Langues :	Anglais (eng)
Descripteur :	[Vedettes matières IGN] Géomatique web [Termes IGN] carte sur mesure [Termes IGN] généralisation cartographique automatisée [Termes IGN] programmation par contraintes [Termes IGN] service web géographique [Termes IGN] web mapping
Résumé :	(auteur) Generating readable maps at a specific scale and for a specific use is a chal-lenge in research and practice. With the advent of the web as a platform for accessing and sharing information between users, maps also became web-accessible. The web provides the means to generate and disseminate maps for specific users (i.e. on-demand). Providing on-demand maps is considered to improve map communication. In this context, automated generalization is one solution to generate these on-demand maps. Currently, thematic content such as physical plans becomes available on the web and displayed as maps. These maps are available as separate layers without a base map. Thereby they are in need of an on-demand base map, which might be generated regarding the thematic content and the specific user. In the case of physical planning on-demand base maps enhance the communication of the thematic content and thereby improve the communication process between the planning authorities and the public. However, a web-based architecture to generate and disseminate on-demand base maps has not been proposed yet. Regarding the aspect of disseminating on-demand base maps on the web, the thesis investigates how to formulate user requirements towards the on-demand base map in such an environment. These user requirements are captured in so-called user profiles, which are formalized in UML and XML-models. The on-demand base map is generated according to these user profiles and according to the specific thematic content. As core of the architecture, a so-called generalization-enabled Web Map Service is presented, which consumes these user profiles and generates the base maps accordingly. The architecture is implemented as a proof-of-concept and is applied to the use case of physical planning in the Netherlands. Besides the aim of disseminating these on-demand base maps on the web, the web is also promising to serve as a platform for web-based generalization. Such web-based processes are performed by Web Services. Establishing web-based meaningful generalization processing, the semantic interoperability of these Web Services has to be enabled, which is considered to be a challenge for research. In particular, this thesis proposes a classification of generalization operators, which is formalized in the Object Constraint Language and deployed using the Web Processing Service interface and so-called WPS profiles. This research contributes to on-demand web mapping and to automated generalization on the web. Designing user profiles to describe generalization-specific requirements and incorporating them into a web-based architecture is a novelty for web mapping. The user profiles thereby enable the on-demand notion and are a complementary approach to the already established OGC Styled Layer Descriptor documents (for symbolization) and OGC Web Map Context (for map content definition) documents as they define user-specific issues regarding scale and the link between thematic content and the base map. Defining user profiles for the application of base maps is a novel approach in itself. Generating base maps by automated generalization has not been attempted so far. The user requirements define the thematic content as input for the generalization of the base map, which is also a novelty. The generalization-enabled WMS is the component which provides the on-demand base map in a standards-compliant way based on the specific user profile. Additionally, this research contributes to the meaningful integration of generalization processes on the web. In particular, this research contributes to the theory of automated generalization by providing a classification of generalization operators. Further, this research contributes to the issue of semantic interoperability of Web Generalization Services as it formalizes the classification using standardized data models of ISO and OGC and finally proposes the application of WPS profiles and the Object Constraint Language. Using standardized data models, this classification is extensible and comprehensible for future research. The application of WPS profiles and the Object Constraint Language is not only a novelty to generalization research and Web Generalization Services, but also contributes to the aspect of web-based geoprocessing in general.
Numéro de notice :	17000
Affiliation des auteurs :	non IGN
Thématique :	GEOMATIQUE
Nature :	Thèse étrangère
Note de thèse :	PhD thesis : : University of Twente : 2010
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=78942

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Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
17000-01	K325	Livre	LASTIG	Dépôt en unité	Exclu du prêt

Documents numériques

Web-based architecture for on-demand maps - application/pdf

Web-based architecture for on-demand maps

Adobe Acrobat PDF

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