Download Advances in Conceptual Modeling - Applications and by Juan Trujillo, Gillian Dobbie, Hannu Kangassalo, Sven PDF

By Juan Trujillo, Gillian Dobbie, Hannu Kangassalo, Sven Hartmann, Markus Kirchberg, Matti Rossi, Iris Reinhartz-Berger, Esteban Zimányi, Flavius Frasincar

This e-book constitutes the refereed court cases of workshops, held on the twenty ninth foreign convention on Conceptual Modeling, ER 2010, in Vancouver, Canada, in November 2010. The 31 revised complete papers offered have been conscientiously reviewed and chosen from eighty two submissions. The papers are prepared in sections at the workshops Semantic and Conceptual matters in GIS (SeCoGIS); Conceptual Modeling of existence Sciences functions (CMLSA); Conceptual Modelling of prone (CMS); lively Conceptual Modeling of studying (ACM-L); net info platforms Modeling (WISM); area Engineering (DE@ER); and Foundations and Practices of UML (FP-UML).

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Extra resources for Advances in Conceptual Modeling - Applications and Challenges: ER 2010 Workshops ACM-L, CMLSA, CMS, DE@ER, FP-UML, SeCoGIS, WISM, Vancouver, BC, ... Applications, incl. Internet Web, and HCI)

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Transactions in GIS 11(3), 355–376 (2007) 23. : Ontology-Driven Discovering Model for Geographical Information Services. ca Abstract. Data warehouses are being considered as substantial elements for decision support systems. e. datacubes. Geospatial datacubes contain geospatial components that allow geospatial visualization and aggregation. However, the simultaneous use of multiple geospatial datacubes, which may be heterogeneous in design or content, drives to consider interoperability between them.

In order to resolve the semantic heterogeneity between a source concept and a destination concept, the intrinsic and extrinsic properties of the respective representations are compared. The comparison is proceeded until there are two equal concepts (‘‘GsP_tfft’’) is found or all concepts are visited. When the comparison is completed, the concepts having a GsP different from ‘‘GsP_ffff’’ (or disjoint relationship) are then sorted from the highest to the lowest GsP [4]. 4 Extending the GsP to Support Semantic Interoperability between Geospatial Datacubes The hierarchical structure of dimensions and the dependencies between dimensions and measures induce several semantic conflicts specific to the multidimensional datacube.

The root node of each wavelet tree represents the permutation of the points in the order of the rows whereas the leaves represent the permutation of the points in the order of the columns. The wavelet tree is a perfect binary tree where each node handles an interval of the columns i, and thus knows only the points whose column falls in the interval. The root handles the interval of columns [1, N ] and the children of a node handling interval [i, i ] are associated to [i, (i + i )/2 ] and [ (i + i )/2 + 1, i ].

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