Relevant bibliographies by topics / XQuery updates

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'XQuery updates'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "XQuery updates"

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Zhang, Ying, Nan Tang, and Peter Boncz. "Projective Distribution of XQuery with Updates." IEEE Transactions on Knowledge and Data Engineering 22, no. 8 (August 2010): 1059–76. http://dx.doi.org/10.1109/tkde.2010.62.

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Dünßer, M., R. Lampidis, S. Schmidt, D. Seipel, and T. Dandekar. "Integration of Data in Pathogenomics: Three Layers of cellular complexity and an XML-based Framework." Journal of Integrative Bioinformatics 1, no. 1 (December 1, 2004): 52–63. http://dx.doi.org/10.1515/jib-2004-5.

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Summary Integration of data in pathogenomics is achieved here considering three different levels of cellular complexity: (i) genome and comparative genomics, (ii) enzyme cascades and pathway analysis, (iii) networks including metabolic network analysis.After direct sequence annotation exploiting tools for protein domain annotation (e.g. AnDOM) and analysis of regulatory elements (e.g. the RNA analyzer tool) the analysis results from extensive comparative genomics are integrated for the first level, pathway alignment adds data for the pathway level, elementary mode analysis and metabolite databanks add to the third level of cellular complexity. For efficient data integration of all data the XML based platform myBSMLStudio2003 is discussed and developed here. It integrates XQuery capabilities, automatic scripting updates for sequence annotation and a JESS expert system shell for functional annotation. In the context of genome annotation platforms in place (GenDB, PEDANT) these different tools and approaches presented here allow improved functional genome annotation as well as data integration in pathogenomics.
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Hong, Dong-Kweon. "W3C XQuery Update facility on SQL hosts." Journal of Korean Institute of Intelligent Systems 18, no. 3 (June 25, 2008): 306–10. http://dx.doi.org/10.5391/jkiis.2008.18.3.306.

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LIU, Dongxi, Zhenjiang HU, and Masato TAKEICHI. "An expressive bidirectional transformation language for XQuery view update." Progress in Informatics, no. 10 (March 2013): 89. http://dx.doi.org/10.2201/niipi.2013.10.6.

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Hong, Dong-Kweon. "PSN: A Dynamic Numbering Scheme for W3C XQuery Update Facility." International Journal of Fuzzy Logic and Intelligent Systems 8, no. 2 (June 1, 2008): 121–25. http://dx.doi.org/10.5391/ijfis.2008.8.2.121.

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Dissertations / Theses on the topic "XQuery updates"

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Malla, Noor. "Partitioning XML data, towards distributed and parallel management." Thesis, Paris 11, 2012. http://www.theses.fr/2012PA112154/document.

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Durant cette dernière décennie, la diffusion du format XML pour représenter les données générées par et échangées sur le Web a été accompagnée par la mise en œuvre de nombreux moteurs d’évaluation de requêtes et de mises à jour XQuery. Parmi ces moteurs, les systèmes « mémoire centrale » (Main-memory Systems) jouent un rôle très important dans de nombreuses applications. La gestion et l’intégration de ces systèmes dans des environnements de programmation sont très faciles. Cependant, ces systèmes ont des problèmes de passage à l’échelle puisqu’ils requièrent le chargement complet des documents en mémoire centrale avant traitement.Cette thèse présente une technique de partitionnement des documents XML qui permet aux moteurs « mémoire principale » d’évaluer des expressions XQuery (requêtes et mises à jour) pour des documents de très grandes tailles. Cette méthode de partitionnement s’applique à une classe de requêtes et mises à jour pertinentes et fréquentes, dites requêtes et mises à jour itératives.Cette thèse propose une technique d'analyse statique pour reconnaître les expressions « itératives ». Cette analyse statique est basée sur l’extraction de chemins à partir de l'expression XQuery, sans utilisation d'information supplémentaire sur le schéma. Des algorithmes sont spécifiés, utilisant les chemins extraits par l’étape précédente, pour partitionner les documents en entrée en plusieurs parties, de sorte que la requête ou la mise à jour peut être évaluée sur chaque partie séparément afin de calculer le résultat final par simple concaténation des résultats obtenus pour chaque partie. Ces algorithmes sont mis en œuvre en « streaming » et leur efficacité est validée expérimentalement.En plus, cette méthode de partitionnement est caractérisée également par le fait qu'elle peut être facilement implémentée en utilisant le paradigme MapReduce, permettant ainsi d'évaluer une requête ou une mise à jour en parallèle sur les données partitionnées
With the widespread diffusion of XML as a format for representing data generated and exchanged over the Web, main query and update engines have been designed and implemented in the last decade. A kind of engines that are playing a crucial role in many applications are « main-memory » systems, which distinguish for the fact that they are easy to manage and to integrate in a programming environment. On the other hand, main-memory systems have scalability issues, as they load the entire document in main-memory before processing. This Thesis presents an XML partitioning technique that allows main-memory engines to process a class of XQuery expressions (queries and updates), that we dub « iterative », on arbitrarily large input documents. We provide a static analysis technique to recognize these expressions. The static analysis is based on paths extracted from the expression and does not need additional schema information. We provide algorithms using path information for partitioning the input documents, so that the query or update can be separately evaluated on each part in order to compute the final result. These algorithms admit a streaming implementation, whose effectiveness is experimentally validated. Besides enabling scalability, our approach is also characterized by the fact that it is easily implementable into a MapReduce framework, thus enabling parallel query/update evaluation on the partitioned data
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Sur, Gargi M. "Implementing update extensions to xquery 1.0." [Gainesville, Fla.] : University of Florida, 2003. http://purl.fcla.edu/fcla/etd/UFE0001184.

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Book chapters on the topic "XQuery updates"

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Fegaras, Leonidas. "A Schema-Based Translation of XQuery Updates." In Database and XML Technologies, 58–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15684-7_6.

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Boncz, Peter, Jan Flokstra, Torsten Grust, Maurice van Keulen, Stefan Manegold, Sjoerd Mullender, Jan Rittinger, and Jens Teubner. "MonetDB/XQuery—Consistent and Efficient Updates on the Pre/Post Plane." In Lecture Notes in Computer Science, 1190–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11687238_89.

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Cavalieri, Federico, Giovanna Guerrini, and Marco Mesiti. "Reverting the Effects of XQuery Update Expressions." In Lecture Notes in Computer Science, 167–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24577-0_18.

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Hidders, Jan, Jan Paredaens, and Roel Vercammen. "On the Expressive Power of XQuery-Based Update Languages." In Database and XML Technologies, 92–106. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11841920_7.

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Colazzo, Dario, Giovanna Guerrini, Marco Mesiti, Barbara Oliboni, and Emmanuel Waller. "Document and Schema XML Updates." In Advanced Applications and Structures in XML Processing, 361–84. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-727-5.ch016.

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Purpose of this chapter is to describe the different research proposals and the facilities of main enabled and native XML DBMSs to handle XML updates at document and schema level, and their versions. Specifically, the chapter will provide a review of various proposals for XML document updates, their different semantics and their handling of update sequences, with a focus on the XQuery Update proposal. Approaches and specific issues concerned with schema updates will then be reviewed. Document and schema versioning will be considered. Finally, a review of the degree and limitations of update support in existing DBMSs will be discussed.
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Conference papers on the topic "XQuery updates"

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Florescu, Dana. "Updates, consistency, and the art of running XQuery in the cloud." In the 1st International Workshop. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1754239.1754267.

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Zhang, Xiaolin, and Hao Lu. "XQuery query over XML update streams." In 2010 International Conference on Intelligent Control and Information Processing (ICICIP). IEEE, 2010. http://dx.doi.org/10.1109/icicip.2010.5565323.

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Liu, Zhen Hua, Hui J. Chang, and Balasubramanyam Sthanikam. "Efficient Support of XQuery Update Facility in XML Enabled RDBMS." In 2012 IEEE International Conference on Data Engineering (ICDE 2012). IEEE, 2012. http://dx.doi.org/10.1109/icde.2012.17.

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Kang, Hong, Xiaojie Yuan, Boshi Sun, Yalou Huang, and Ying Guan. "A XML Update Pattern Based on XQuery Update Facility and Seamlessly Integrated with Relational Databases." In 2009 First International Conference on Information Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/icise.2009.201.

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Brahmia, Zouhaier, Fabio Grandi, and Rafik Bouaziz. "tauXUF: A Temporal Extension of the XQuery Update Facility Language for the tauXSchema Framework." In 2016 23rd International Symposium on Temporal Representation and Reasoning (TIME). IEEE, 2016. http://dx.doi.org/10.1109/time.2016.22.

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Mahlow, Cerstin, Christian Grün, Alexander Holupirek, and Marc H. Scholl. "A framework for retrieval and annotation in digital humanities using XQuery full text and update in BaseX." In the 2012 ACM symposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2361354.2361398.

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