Header

UZH-Logo

Maintenance Infos

Ontology-driven enrichment of spatial databases


Lüscher, Patrick; Burghardt, Dirk; Weibel, Robert (2007). Ontology-driven enrichment of spatial databases. In: 10th ICA Workshop on Generalisation and Multiple Representation, Moskau, 2 August 2007 - 3 August 2007, online.

Abstract

Generalization is an abstraction process by which characteristics of spatial patterns should be preserved and highlighted. This requires the patterns to be detected beforehand. Additionally, automated enrichment of spatial data is of growing importance for many mapping agencies in order to respond to varying user needs. In this paper we present a framework for pattern recognition in urban environments that complements current algorithm-centered approaches by first formalizing spatial patterns in ontologies, and then deductively triggering appropriate low-level pattern recognition techniques. We start our paper by giving an introduction to the terminology of ontologies. Existing work on pattern recognition using semantic models is reviewed. We then outline our general framework and exemplify an ontological model of an urban structure for a case study we are currently working on. Finally, we discuss issues, benefits and challenges of the approach.

Abstract

Generalization is an abstraction process by which characteristics of spatial patterns should be preserved and highlighted. This requires the patterns to be detected beforehand. Additionally, automated enrichment of spatial data is of growing importance for many mapping agencies in order to respond to varying user needs. In this paper we present a framework for pattern recognition in urban environments that complements current algorithm-centered approaches by first formalizing spatial patterns in ontologies, and then deductively triggering appropriate low-level pattern recognition techniques. We start our paper by giving an introduction to the terminology of ontologies. Existing work on pattern recognition using semantic models is reviewed. We then outline our general framework and exemplify an ontological model of an urban structure for a case study we are currently working on. Finally, we discuss issues, benefits and challenges of the approach.

Statistics

Downloads

83 downloads since deposited on 25 Apr 2013
28 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Conference or Workshop Item (Speech), not refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Event End Date:3 August 2007
Deposited On:25 Apr 2013 15:00
Last Modified:14 Aug 2017 12:16
Publisher:International Cartographic Association
Free access at:Official URL. An embargo period may apply.
Official URL:http://generalisation.icaci.org/images/files/workshop/workshop2007/Luescher-ICAWorkshop.pdf
Related URLs:http://generalisation.icaci.org/index.php/prevevents/11-previous-events-details/58-workshop-2007-papers-and-program (Organisation)

Download

Preview Icon on Download
Preview
Content: Published Version
Language: English
Filetype: PDF
Size: 434kB

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations