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

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

ISBN-10: 364216384X

ISBN-13: 9783642163845

This booklet constitutes the refereed complaints of workshops, held on the twenty ninth overseas convention on Conceptual Modeling, ER 2010, in Vancouver, Canada, in November 2010. The 31 revised complete papers awarded have been conscientiously reviewed and chosen from eighty two submissions. The papers are equipped in sections at the workshops Semantic and Conceptual matters in GIS (SeCoGIS); Conceptual Modeling of lifestyles Sciences functions (CMLSA); Conceptual Modelling of prone (CMS); lively Conceptual Modeling of studying (ACM-L); internet info structures Modeling (WISM); area Engineering (DE@ER); and Foundations and Practices of UML (FP-UML).

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Additional 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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In order to experiment GsP notion, Brodeur et al. developed the GsP tool which imitate human communication to support geospatial interoperability [5]. It depicts a communication process, which takes place between two software agents interacting through a communication channel. In GsP, software agents (a source and destination) exchange concept representations 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.

Mostafavi Class(floodedLand complete restriction(is-A someValuesFrom (GML: surface) restriction (depth hasSomeValuesFrom(high)) restriction (status hasSomeValuesFrom (navigable))) The GWS description indicates that two contexts are possible: flood disaster response and flood prevention. Under those views, a flood risk zone is defined as a surface adjacent to a waterbody or a surface close to a waterbody, respectively, because the conception of the degree of risk in disaster response is different from its conception in disaster prevention.

In these experimentes we used three synthetic collections with one million MBRs each and uniform, Zipf (world size = 1, 000×1, 000, ρ = 1) and Gauss distribution (world size = 1, 000 × 1, 000, μ = 500, σ = 200). 1%, and 1% of the area of the space where the MBRs are located. 25. Experiments using two real datasets are also presented. S. Census Bureau1 . gov/geo/www/tiger Range Queries over a Compact Representation of MBRs 39 (block groups), AIANNH (American Indian/Alaska Native/Native Hawaiian Areas), SD (elementary, secondary, and unified school districts), COUSUB (country subdivisions), and SLDL (state legislative districts).

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


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