Tech Reports
Tech Report kmi-01-19 Abstract
Visualisation Of Entity Distribution In Very Large Scale Spatial And Geographic Information Systems
Techreport ID: kmi-01-19
Date: 2001
Author(s): Jiri Komzak
The aim of this paper is to summarise entity distribution visualisation problems in very large-scale spatial and geographic information systems. The motivation for this theme arises from the challenge of visualising the geographic and logical distribution of many tens of thousands of distance-learning students at the UK's Open University. At the beginning, the paper describes the algorithms and data structures used by current geographic and spatial information systems. These include visualisation and mapping techniques, user interface problems, clustering analysis, and the approach to existing data structures and network services. Several existing systems are mentioned as examples. In the second part of the paper, suggested approaches and improvements are discussed. These should provide new possibilities, particularly with respect to the scalability of the system when working with very large numbers of entities.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...
We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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