The VISTA project aimed to integrate utility data from various UK organizations to improve coordination and reduce costs of street works. It developed methods for syntactically and semantically integrating heterogeneous utility data through a common data model and global thesaurus. Visualization techniques were also explored that incorporated uncertainty and were driven by an ontology. While the project proved the concept, further work is needed to develop the ontology and address implementation challenges regarding data currency, security, and impact on organizational systems.
36. Uncertainty visualization EXAMPLES A. future environmental setting -> colour D. longitude / magnitude -> glyphs B. contours -> line style H. local uncertainty -> volume C. regional uncertainty -> quadtree E. noise -> overlaid grid G. kind of object -> blur F. shape -> texture
46. Ontology-based visualization <CONCEPT> <DESCRIPTOR>Hydrant</DESCRIPTOR> <NT level="1">Combined Hydrant </NT> <NT level="1">Fire Hydrant </NT> <NT level="1">Washout Hydrant</NT> <BT level="1">Water Furnishing and Fixture <BT level="2">Water Asset</BT> </BT> <SN>Device for extracting large volumes of water from the network. Used to flush out the network, provide water for fire fighting or provide a temporary connection.</SN> <SC>Water</SC> </CONCEPT> <CONCEPT> <NON-DESCRIPTOR>Impounding Reservoir</NON-DESCRIPTOR> <USE>Raw Water Storage</USE> <SN>….</SN> <SC>Water</SC> </CONCEPT> Ontology
47.
48.
49.
50.
51.
52.
53.
54.
Editor's Notes
This shows where assets are but in fact this should be where pipes might be.
DTI has wide range of responsibilities: company law, trade, business growhth, innovation, employment law, energy, science, consumer law… in 2005 it was called the depth of productivity, energy and industry… TMA and level of accuracy
