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 booklet constitutes the refereed complaints 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 awarded have been rigorously reviewed and chosen from eighty two submissions. The papers are geared up in sections at the workshops Semantic and Conceptual matters in GIS (SeCoGIS); Conceptual Modeling of existence Sciences functions (CMLSA); Conceptual Modelling of providers (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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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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Sample of G-MAP augmented semantic mapping results With respect to subsumption-based approaches described in related work, one of the advantages of G-MAP is to propose results that are more expressive. Since the semantic relations are not only subsumption relations, our approach is able to retrieve more relevant services, where user can choose between overlapping services, more general or more specific services. The G-MAP also support the user to identify the differences in meaning that could avoid misinterpretation of data produced by the service, with respect in particular to the semantics of spatiotemporal aspects of the services’ descriptions.

Representing MBRs using wavelet trees are used to prune these traversals). The algorithm solving the queries in each dimension is a simplification of the point case [3] because these are two-sided queries, whereas in the general case queries are four-sided. The left wavelet tree in Figure 2 highlights nodes visited to solve the query decomposed in the ranges [1, 6] (valid positions in the root bitmap of the first wavelet tree) and [4, 8] (interval to prune the first wavelet tree traversal). The first range is projected in the child nodes of the root node as [1, rank0 (B, 6)] = [1, 4] and [1, rank1 (B, 6)] = [1, 2].

Geospatial interoperability is considered here as the ability of information systems to a) communicate all kinds of spatial information about the Earth and about the objects and phenomena on, above, and below its surface, and b) cooperatively run applications capable of manipulating such information [14]. Semantic interoperability aims to provide a mutual understanding of different data representations. For geospatial information systems, we include the consideration about object’s geometry in the semantic level since geometry is not inherent to objects but defined according to the needs of a given application.

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