It's important to close the gap between ontology representation and modelling and visualisation of problems. There is much more incentive to poulate an ontology or database if the information in this is automatically or semi automatically translated for use in modelling and decision support. Then those populating an ontology can see the benefits, and those creating or using models/programs based on the ontology can see where the inforamation is coming from.
Equations/formulae can be represented in the ontology, and then sent to the model which can then visualise them and calculate results. A Decision support tool called Vanguard System was used for this.
This screenshot illustrates how a decision support system tree view of the spar (wing part)branch from a wing process and cost model can be created with information translated from an ontology (in Protege) of related taxonomies (sub ontologies), and where necessary from user's selections (e.g. of materials). The tree, including all the default part definition information for the spar, is produced automatically. The buttons in the tree enable choices to be made by the user about materials, consumables, rates, and processes. Branches are created in response to these choices. The values in the branch nodes can then be changed as required.
Results can also then be output to the web for navigation and visualisation, and maybe for interactive web based modelling and visualisation.
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