Download Database and Expert Systems Applications: 25th International by Hendrik Decker, Lenka Lhotská, Sebastian Link, Marcus Spies, PDF

By Hendrik Decker, Lenka Lhotská, Sebastian Link, Marcus Spies, Roland R. Wagner

This quantity set LNCS 8644 and LNCS 8645 constitutes the refereed complaints of the twenty fifth foreign convention on Database and specialist structures purposes, DEXA 2014, held in Munich, Germany, September 1-4, 2014. The 37 revised complete papers offered including forty six brief papers, and a pair of keynote talks, have been conscientiously reviewed and chosen from 159 submissions. The papers talk about a number of issues together with: information caliber; social internet; XML key-phrase seek; skyline queries; graph algorithms; info retrieval; XML; safety; semantic internet; category and clustering; queries; social computing; similarity seek; score; info mining; large facts; approximations; privateness; facts alternate; info integration; internet semantics; repositories; partitioning; and company applications.

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Additional resources for Database and Expert Systems Applications: 25th International Conference, DEXA 2014, Munich, Germany, September 1-4, 2014. Proceedings, Part I

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The schema is the structure in which we can capture and maintain data. A crucial feature of databases is to support the enforcement of constraints. Schema updates can occur. However, they are regarded as costintensive. Whenever a schema update occurs, this triggers a data migration step. This data migration step can be very complex, because the existing data must be re-shaped [6,3,9]. The OO modeling viewpoint, which encompasses the UML viewpoint, distinguishes between models and objects. Again, models are considered relatively fix as compared to objects.

Hence, the indexes need to be aware of visual actions taken by a user and accordingly filter negative results after every action taken by her. Recall that a user may construct a single edge or a canned pattern at a particular step during query formulation. She may also modify it by deleting an existing canned pattern or an edge. Hence, the size of a partially-constructed query graph may grow or shrink by k ≥ 1 at each step. Furthermore, a query fragment may evolve from a frequent pattern to infrequent one and vice versa.

The concept of tree species is made explicit in the model as a class. The relation between the tree class and the tree species class follows the type object pattern [22]. , the leaf pattern in our Listing 1. Standard power type example exploiting subtypes and the typesobject pattern class class class class ... class Tree{ treeSpecies:TreeSpecies ... } SugarMaple extends Tree{ ... } Apricot extends Tree{ ... } AmericanElm extends Tree{ ... } TreeSpecies{ leafPattern:LeafPattern ... } H. Decker et al.

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