By Eric Yu, Gillian Dobbie, Matthias Jarke, Sandeep Purao
This e-book constitutes the refereed lawsuits of the thirty second overseas convention on Conceptual Modeling, ER 2014, held in Atlanta, GA, united states. The 23 complete and 15 brief papers provided have been rigorously reviewed and chosen from eighty submissions. issues of curiosity provided and mentioned within the convention span the full spectrum of conceptual modeling together with learn and perform in components corresponding to: info on the internet, unstructured facts, doubtful and incomplete facts, tremendous info, graphs and networks, privateness and protection, database layout, new modeling languages and purposes, software program strategies and methods, styles and narratives, information administration for company structure, urban and concrete applications.
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Additional resources for Conceptual Modeling: 33rd International Conference, ER 2014, Atlanta, GA, USA, October 27-29, 2014. Proceedings
This enables modelers to detect unintended states of affairs and to take the proper measures to rectify the model. 24 G. Guizzardi Fig. 8. Examples of valiid but unintended instances of the Organ Transplant Model After running simulations of the model of Figure 7, the conceptual modeler is ppresented with the consequencces of her specification. The set of possible instances of tthis model, produced automaticcally by this simulator, includes the two models presennted in Figure 8. When faced with w a situation in which the Donor, Donee and Surgeon roles are played by the sam me person, the modeler can realize that the model at hand has been underconstrained,, and then include a constraint in the model to exclude tthis unintended situation.
These are complexity management tools that are fundamental for addressing the challenge hig1 The relation between Formal and Applied Ontology can be understood in analogy to the relation between Pure and Applied Mathematics. 16 G. Guizzardi hlighted by Dijkstra’s advice. In this paper, I would like to concentrate on a different (albeit complementary and intimately related) set of complexity management tools. The set includes three of these tools, all related to the notion of patterns, namely: Ontological Conceptual Patterns, Ontological Anti-Patterns, and Ontology Pattern Languages.
ER 2014, LNCS 8824, pp. 13–27, 2014. © Springer International Publishing Switzerland 2014 14 G. Guizzardi these silos. Take for example the following question: from all the outsourcing contracts signed by a government organizational unit with private parties, which ones include parties that made a donation to the political campaign of any individual with power of decision over that contract? , in the set of information represented by an existing set of information systems. Moreover, given the current requirements for data transparency, this information is typically even public.