By Tim Furche, Georg Gottlob, Christian Schallhart (auth.), Stephen W. Liddle, Klaus-Dieter Schewe, A Min Tjoa, Xiaofang Zhou (eds.)
This quantity set LNCS 7446 and LNCS 7447 constitutes the refereed lawsuits of the twenty third foreign convention on Database and specialist platforms purposes, DEXA 2012, held in Vienna, Austria, September 3-6, 2012.
The forty nine revised complete papers awarded including 37 brief papers and a pair of keynote talks have been conscientiously reviewed and chosen from 179 submissions. those papers talk about quite a number subject matters together with: database question processing, specifically XML queries; labelling of XML records; computational potency, information extraction; personalization, personal tastes, and rating; protection and privateness; database schema evaluate and evolution; semantic net; privateness and provenance; info mining; information streaming; disbursed platforms; looking and question answering; structuring, compression and optimization; failure, fault research, and uncertainty; predication, extraction, and annotation; rating and personalisation; database partitioning and function size; advice and prediction platforms; company procedures; social networking.
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Additional info for Database and Expert Systems Applications: 23rd International Conference, DEXA 2012, Vienna, Austria, September 3-6, 2012. Proceedings, Part I
Now we focus on how to choose a good join order to process LTP queries. An LTP query expression can be considered as a sequence of mixed structural joins and value-based joins. In particular, any twig pattern matching can be considered as a sequence of structural joins, and to link diﬀerent twig patterns, we need value-based joins. As in most state-of-the-art twig pattern matching algorithms, the structural joins are performed in a holistic way to reduce useless intermediate result, then it is reasonable to consider a pattern matching wholly as one operation.
We describe how node labels are initially assigned and we analyse the growth rate of the label size. In §4, we present our insertion algorithms and our novel compact adaptive growth mechanism which ensures that label sizes grow gracefully and remain compact even in the presence of frequently skewed node insertions. We provide experimental validation for our approach in terms of execution time and total label storage costs by comparing SCOOTER to three dynamic label schemes that provide similar functionality and present the results in §5.
SCOOTER is orthogonal to the encoding technique employed to determine structural relationships between node labels. Speciﬁcally, SCOOTER can be deployed using a preﬁxbased encoding, containment-based encoding or a prime number based encoding. SCOOTER employs the quaternary bit-encoding presented in  and uses the ternary base to encode node label values. SCOOTER supports the reuse of shorter deleted node labels when available. This paper is structured as follows: in §2, we review the state-of-the-art in dynamic labeling schemes for XML, with a particular focus on scalability and compactness.