Abstract
This chapter introduces the idiosyncrasies of managing the new paradigm of global contextual data, sets of context data and super sets of context data. It introduces some of the basic idea’s behind contexts and then develops a model for management of aggregated sets of contextual data and proposes methods for dealing with the selection and retrieval of context data that is inherently ambiguous about what to retrieve for a given query. Because contexts are characterized by four dimensions, those of time, space, impact and similarity they are inherently complicated to manage.
This work builds on previous work and extends that work to incorporate contexts. The original model for spatial-temporal management is presented and then analyzed to determine much coverage it can provide to the new context paradigm.
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Vert, G., Iyengar, S.S. (2010). Integration of Fuzzy ERD Modeling to the Management of Global Contextual Data. In: Kacprzyk, J., Petry, F.E., Yazici, A. (eds) Uncertainty Approaches for Spatial Data Modeling and Processing. Studies in Computational Intelligence, vol 271. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10663-7_10
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DOI: https://doi.org/10.1007/978-3-642-10663-7_10
Publisher Name: Springer, Berlin, Heidelberg
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