Titlebook: Big Data; 29th British Nationa Georg Gottlob,Giovanni Grasso,Christian Schallhart Conference proceedings 2013 Springer-Verlag Berlin Heidel

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https://doi.org/10.1007/978-1-4615-5113-3essing of database engines for the much less efficient tuple-at-a-time processing of a procedural language. In this work, we consider the problem of rewriting for-loops with update statements into sequences of updates which do not use loops or cursors and which simultaneously carry out the action of

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Cholesterol Trafficking in CaCo-2 Cellses such as Flash and Non-Volatile Memories. Any modification of a data item in a MV-DBMS results in the creation of a new version. Traditional implementations, physically stamp old versions as invalidated, causing in-place updates resulting in random writes and ultimately in mixed loads, all of whic

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Rupa R. Sawant,Vladimir P. Torchilints of most matching algorithms are expressed as semantically inexpressive, 1-to-1 associations between pairs of attributes or entities, rather than semantically-rich characterisations of relationships. This paper presents a benchmark for evaluating schema matching algorithms in terms of their semant

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Stimuli-Responsive Polymersomesic databases (.) is launched. Large panoply of these . exists. Three main characteristics may be used to differentiate them: (i) the storage layouts for storing instances and the ontology, (ii) ontology modeling languages, and (iii) the architecture of the target database management system (DBMS) su

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Rupa R. Sawant,Vladimir P. Torchilin. In probabilistic relational models, tuples are annotated with probabilities or formulae over Boolean random variables. In probabilistic XML models, XML trees are augmented with nodes that specify probability distributions over their children. Both kinds of models have been extensively studied, wit

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Christine Vauthier,Kawthar Bouchemalnt at web scale have stimulated a recent trend towards the development of document-centric “NoSQL” data stores. Many query tasks naturally involve reasoning over data residing across NoSQL and relational “SQL” databases. Having data divided over separate stores currently implies labor-intensive manu

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https://doi.org/10.1007/978-94-017-8896-0stion still was, given an XPath Query and an update operation, how to efficiently compute the update positions within a grammar representing a compressed XML file. In this paper, we propose an automaton-based solution, which computes these positions, combines them in a so-called Update DAG, supports

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Hiroyasu Takemoto,Nobuhiro Nishiyama process the twig patterns in XML queries. However, a more general form of twig patterns, called B-twig (or Boolean-twig), which allow arbitrary combination of all the three logical connectives, AND, OR, and NOT in the twig patterns, has not yet been adequately addressed. In this paper, a new approa

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Gurusamy Saravanakumar,Won Jong Kimommunication and synchronization issues from the user and allow processing of high volumes of data on thousands of commodity computers. In this paper we are interested in applying MR to processing hierarchical data with nested collections such as stored in JSON or XML formats but with restricted nes