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Download Database and Expert Systems Applications: 24th International by Klaus-Dieter Schewe (auth.), Hendrik Decker, Lenka Lhotská, PDF

By Klaus-Dieter Schewe (auth.), Hendrik Decker, Lenka Lhotská, Sebastian Link, Josef Basl, A Min Tjoa (eds.)

This quantity set LNCS 8055 and LNCS 8056 constitutes the refereed lawsuits of the twenty fourth overseas convention on Database and specialist structures functions, DEXA 2013, held in Prague, Czech Republic, August 23-29, 2013. The forty three revised complete papers awarded including 33 brief papers, and three keynote talks, have been rigorously reviewed and chosen from 174 submissions. those papers talk about more than a few themes together with: seek queries; indexing; discovery of semantics; parallel processing; XML and RDF; company types; question review and optimization; semantic internet; sampling; business functions; groups; AI and databases; matching and looking out; details extraction; queries, streams, and uncertainty, garage and compression; question processing; protection; dispensed info processing; metadata modeling and upkeep; pricing and recommending; and safeguard and semantics.

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Additional resources for Database and Expert Systems Applications: 24th International Conference, DEXA 2013, Prague, Czech Republic, August 26-29, 2013. Proceedings, Part I

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It computes the set γ1 of maximal tuples in the remaining set r with respect to the partial transitive closure over that set. The resulting set is the second set of the partition and represents the "second choice tuples". The computation Preferences Chain Guided Search and Ranking Refinement 17 is iterated until there is no more tuples into the original set. Note that this operator is similar to the successive iterations of the Winnow and Best operators called respectively Winnow iterated and Best∗ , but relies on a different notion of maximality.

2. Preliminaries are in Sec. 3. We discuss how to transform an XML graph to a tree model for efficient query evaluation in Sec. 4 and how it works on complex reference patterns in Sec. 5. Further extension of our approach is in Sec. 6. The algorithm is presented in Sec. 7. Experiments are in Sec. 8 and we conclude in Sec. 9. 2 Related Work XML Graph Keyword Search. An XML graph can be modeled as a digraph [9]. Keyword search on a graph is usually reduced to the Steiner Tree problem or its variants: given a graph G = (V, E), where V is a set of nodes and E is a set of Efficient XML Keyword Search: From Graph Model to Tree Model 27 edges, a keyword query result is defined as a minimal subtree T in G such that the leaves or the root of T contain all keywords in the query.

In that case, there is no maximal tuple. e. elements that can not be preferred to each other (in our example, s should be the set of maximal elements). To this end, we will use the classical notion of transitive closure in order to derive a pre-order from each dominance relationships. Note that we restrict the transitive closure to a subset of tuples. Definition 3 (Partial transitive closure θ+ ) Let θ be a dominance relation over a dataset r. The partial transitive closure of θ over s ⊂ r, denoted θs+ , is the binary relation over s such that ∀(t, t ) ∈ s2 , θs+ (t, t ) iff ∃(t1 , .

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