1 / 7

COST C21 Swiss projects (proposals)

COST C21 Swiss projects (proposals). University of Zurich - R. Weibel Swiss Polytechnic School, Lausanne - F. Golay CRAAL, Lausanne - P. Pellegrino University of Geneva - C. Metral & G. Falquet. Providing Enriched Spatial Data.

karsen
Download Presentation

COST C21 Swiss projects (proposals)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. COST C21Swiss projects (proposals) University of Zurich - R. Weibel Swiss Polytechnic School, Lausanne - F. Golay CRAAL, Lausanne - P. Pellegrino University of Geneva - C. Metral & G. Falquet COST C21 - Lyon - 2005 -- 1

  2. Providing Enriched Spatial Data Ontology-driven Recognition of Urban Structures from Spatial Databases (ORUS)Prof. R. Weibel – University of Zurich - Switzerland Main objective = data enrichment Make the semantic information implicitly contained in spatial databases become explicit, using ontology-driven automated urban pattern recognition procedures Contribution to COST Action C21 Uses ontologies developed by other projects as a basis for the definition of data enrichment methods and feeds back enriched data to other projects Contributes to the scale-specific definition of ontological concepts Maps the concepts defined in urban ontologies to actual data objects in real-life databases COST C21 - Lyon - 2005 -- 2

  3. Internal enrichment (structure analysis, pattern recognition) 2 5 5 Ontological concepts Semantically enriched data Existing spatial databases 1 External enrichment (matching, data integration) 4 3 Verticalrelationships Project ORUS 5 Evaluation of data enrichment COST C21 - Lyon - 2005 -- 3

  4. Integrating Urban Knowledge into 3D City Models G. Falquet and C. Métral University of Geneva Main objectives Representation and integration of non geometric urban knowledge into urban 3D models Geometric representation for abstract concepts (e.g. city plans) of urban ontologies Specification language for the 3D visualization of urban concepts and their relationships Case study: ontologies developed by other projects Interaction with other projects Ontology design and management: evaluation of specific needs Infrastructure to store and manage ontologies COST C21 - Lyon - 2005 -- 4

  5. Project IUK3D 3D city model 3D representation of urban concepts Ontology-based representation of non-geometric knowledge Integration Test with different categories of users COST C21 - Lyon - 2005 -- 5

  6. WINDS Concept • Pierre Pellegrino • CRAAL - Lausanne • Integrate course terminologies developed in the WINDS European virtual campus • Build a reference ontology for students in architecture and urban planning • Integrate architectural concepts into urban planning • Articulate spatial, topological and geometric dimensions with argumentative, logical, and semiotic dimensions of the urban project COST C21 - Lyon - 2005 -- 6

  7. An Ontology of Morphological Urban Processes • F. Golay • EPFL - Lausanne • Definition of several ontologies • urban form (morphology) • event • scale • morphological process • Toward an automated recognition of urban transformations • from GIS data COST C21 - Lyon - 2005 -- 7

More Related