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Another task to be undertaken would be the addition of uncertainty in the instantly produced models, for circumstances wherever correct information can not be provided for the model. This will require provision of a method of managing uncertainty for parameters within the ontology, e.g. as 3 values explaining a triangular circulation rather than a distinctive absolute value. Your decision support meta-program might be expanded to write out the code to perform Monte-Carlo choosing, ergo making use of the mathematical uncertainty capability.

This work should ensure it is possible for standardisation of illustration of mathematical expressions that connect nodes, and their values and words, to each other. Limitations can then be added to avoid invalid hidden wiki mathematical expressions. Miller and Baramidze also describe their research in Discrete-Event Acting Ontology (DeMO) for simulation and modelling. That uses OWL to establish a simulation and modelling type hierarchy. It could be really beneficial to develop an illustration to demonstrate this with a functional design to test the usage of this ontology.

It would be intriguing and helpful to build an atmosphere where people can use case types and examine their simplicity and usefulness. This can follow an identical design to that particular employed for the development of start resource computer software or collaborations such as Wikipedia (2007), and the Semantic Web Environmental listing SWED (2006). Screening of functionality for collaboration is complicated and (Johnson et al, 2003) explain how this calls for interdisciplinary expertise from many fields. Semantic Web study also needs an interdisciplinary.

approach as explained by Berners-Lee et al “Understanding and fostering the growth of the World Broad Internet, equally in design and societal terms, will require the growth of a fresh interdisciplinary field.” A project similar to this can bring together individuals with diverse skills, interests and expertise. Cheung et al (2007) produce the idea that open resource growth can prevent dealer lock-in, eliminate pointless difficulty, give freedom to modify applications, and provide platform and application independence.

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