Collaborative geovisualization: object-field representations with semantic and uncertainty information

Authors:
Vlasios Voudouris;Jo Wood;Peter F Fisher
Affiliations:
giCentre, Department of Information Science, City University, London, UK;giCentre, Department of Information Science, City University, London, UK;giCentre, Department of Information Science, City University, London, UK
Venue:
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
Year:
2005

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Abstract

Techniques and issues for the characterisation of an object-field representation that includes notions of semantics and uncertainty are detailed. The purpose of this model is to allow users to capture objects in field with internally variable levels of uncertainty, to visualize users’ conceptualizations of those geographic domains, and to share their understanding with others using embedded semantics. Concepts from collaborative environments inform the development of this semantic-driven model as well as the importance of presenting all collaborators’ analysis in a way that enables them to fully communicate their views and understandings about the object and the field within it. First, a conceptual background is provided which briefly addresses collaborative environments and the concepts behind an object-field representation. Second, implementation of that model within a database is discussed. Finally, a LandCover example is presented as a way of illustrating the applicability of the semantic model.