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Download e-book for iPad: Advances in Conceptual Modeling - Applications and by Juan Trujillo, Gillian Dobbie, Hannu Kangassalo, Sven

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 lawsuits 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 rigorously reviewed and chosen from eighty two submissions. The papers are prepared in sections at the workshops Semantic and Conceptual concerns in GIS (SeCoGIS); Conceptual Modeling of existence Sciences functions (CMLSA); Conceptual Modelling of companies (CMS); lively Conceptual Modeling of studying (ACM-L); net details platforms Modeling (WISM); area Engineering (DE@ER); and Foundations and Practices of UML (FP-UML).

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Read or Download 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) PDF

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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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We performed experiments (omitted due to lack of space) with four different well-known coding algorithms [12] (Elias-Gamma, Elias-Delta, Rice, and Vbytes) and conclude that Rice encoding outperforms the other in most synthetic and real scenarios. In addition, a vector stores the accumulated sum at regularly sampled positions (say every hth position, thus the vector stores all values xi·h ) to efficiently solve the operations rightSearch (given a coordinate v, find the largest xi ≤ v) and lef tSearch (the lowest xi ≥ v).

Therefore, for example, two properties are overlapping if their names and their ranges (set of values) are not semantically disjoint. First, the semantic relations between basic MVAC elements are translated into statements that can be compared against the antecedents of mapping rules. Statements are stored in the Fact Base. The Mapping Inference Engine, which has spatial, thematic and temporal components responsible for matching the corresponding features, matches facts of the Fact base against rules in the Mapping Rule Base.

An alternative technique consists in the transformation of the MBRs into a different representation such as higherdimensional points or one-dimensional intervals. Our representation is based on this technique as it decomposes the problem into its d-dimensions, solves the d subproblems, and intersects the results. Each subproblem consists in finding the one-dimensional intervals intersecting the query, which is obtained applying the same decomposition to the original query. Although many structures can be used to solve these subproblems, we propose the use of wavelet trees because they provide a good trade-off between space and time efficiency.

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