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Littérature scientifique sur le sujet « XML Retrieval »

Auteur : Grafiati
Publié le 9 mars 2023
Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "XML Retrieval"

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Lalmas, Mounia. "XML Retrieval." Synthesis Lectures on Information Concepts, Retrieval, and Services 1, no. 1 (2009): 1–111. http://dx.doi.org/10.2200/s00203ed1v01y200907icr007.

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Pehcevski, Jovan, James A. Thom, and Anne-Marie Vercoustre. "Hybrid XML Retrieval: Combining Information Retrieval and a Native XML Database." Information Retrieval 8, no. 4 (2005): 571–600. http://dx.doi.org/10.1007/s10791-005-0748-1.

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Liu, Peng Fei, Yan Hua Chen, Wen Jie Xie, and Qiao Yi Hu. "XML Retrieval with Results Clustering on Android." Advanced Materials Research 756-759 (September 2013): 1300–1303. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1300.

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XML receives widely interests in data exchanging and information management on both traditional desktop computing platforms and rising mobile computing platforms. However, traditional XML retrieval does not work on mobile devices due to the mobile platforms limitations and diversities. Considering that XML retrieval on mobile devices will become increasingly popular, in this article, we have paid attention to the design and implementation of XML retrieval and results clustering model on the android platform, building on jaxen and dom4j, the XML parser and retrieval engine; furthermore, the K-m
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Carmel, David, Yoelle Maarek, and Aya Soffer. "XML and information retrieval." ACM SIGIR Forum 34, no. 1 (2000): 31–36. http://dx.doi.org/10.1145/373593.373624.

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Carmel, David, Yoelle Maarek, and Aya Soffer. "XML and information retrieval." ACM SIGMOD Record 30, no. 1 (2001): 62–65. http://dx.doi.org/10.1145/373626.373705.

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Yu, Hong, Xiao Lei Huang, Zhi Ling Wei, and Chen Xia Yang. "Study on XML Retrieval Results Classification." Applied Mechanics and Materials 263-266 (December 2012): 1773–77. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.1773.

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Mining (classify or clustering) retrieval results to serve relevance feedback mechanism of search engine is an important solution to improve effectiveness of retrieval. Unlike plain text documents, since the XML documents are semi-structured data, for XML retrieval results classification, consider exploiting structure features of XML documents, such as tag paths and edges etc. We propose to use Support Vector Machine (SVM) classifier to classify XML retrieval results exploiting both their content and structure features. We implemented the classification method on XML retrieval results based on
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Xia, Yao Wen, and Ji Li Xie. "The Research of XML Keyword Retrieval Algorithms Based on MapReduce." Applied Mechanics and Materials 556-562 (May 2014): 3347–49. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3347.

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In this paper, from the perspective of XML data management, first in the HDFS store large amount of data and XML data based on XML data query rewrite the traditional framework of MapReduce process, the design of large amount of data XML data set keywords retrieval algorithm, contain XML data classification and coding, index and search a four parts, solve the large amount of data of the XML document keywords retrieval problem. Then the design and implementation based on MapReduce of large amount of data XML keyword query system.
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Beamer, Ashley, and Mark Gillick. "ScotlandsPlaces XML: bespoke XML or XML mapping?" Program 44, no. 1 (2010): 13–27. http://dx.doi.org/10.1108/00330331011019654.

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PurposeThe purpose of this paper is to investigate web services (in the form of parameterised URLs), specifically in the context of the ScotlandsPlaces project. This involves cross‐domain querying, data retrieval and display via the development of a bespoke XML standard rather than existing XML formats and mapping between them.Design/methodology/approachIn looking at the different heritage domain datasets as well as the metadata formats used for storage and data exchange, the ScotlandsPlaces XML format is revealed as the most appropriate for this type of project. The nature of the project itse
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MA, MATTHEW Y., JINHONG K. GUO, and PATRICK S. P. WANG. "FROM PIXELS TO TRUE XML STRUCTURES IN DIGITAL DOCUMENT IMAGES." International Journal of Pattern Recognition and Artificial Intelligence 18, no. 06 (2004): 1057–69. http://dx.doi.org/10.1142/s0218001404003575.

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XML has been widely used as metadata for image retrieval. As a standard, it makes it easier to index and retrieve information across different platforms. However, how to automatically convert an image into XML format remains a challenge. In this paper, a system for generating structured document in XML from digitally captured document images is presented. The system is aimed at providing an easy to use tool for average users without requiring depth of knowledge in the document processing areas. Further, a XML/XSL generator is developed to accurately represent a document in a XML structure, yet
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Chen, Jiang Xin, and Li Yong Wan. "A Novel XML Document Retrieval Method." Advanced Materials Research 981 (July 2014): 167–70. http://dx.doi.org/10.4028/www.scientific.net/amr.981.167.

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XML is a new standard for data representation and exchange, which has been widely used on the Internet. XML retrieval has caused more and more researchers concern. How to improve the retrieval efficiency has become an important study field, this paper proposes the retrieval method based on keyword weight and structure extension, which can get the middle retrieval results in accordance with calculating the keyword weight, and further to retrieval by implementing structural extension of middle retrieval results, then can get the final query results. The experiment results show that the retrieval
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Thèses sur le sujet "XML Retrieval"

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Blanke, Tobias. "Theoretical evaluation of XML retrieval." Thesis, University of Glasgow, 2011. http://theses.gla.ac.uk/2828/.

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This thesis develops a theoretical framework to evaluate XML retrieval. XML retrieval deals with retrieving those document parts that specifically answer a query. It is concerned with using the document structure to improve the retrieval of information from documents by only delivering those parts of a document an information need is about. We define a theoretical evaluation methodology based on the idea of `aboutness' and apply it to XML retrieval models. Situation Theory is used to express the aboutness proprieties of XML retrieval models. We develop a dedicated methodology for the evaluatio
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Pehcevski, Jovan, and jovanp@cs rmit edu au. "Evaluation of Effective XML Information Retrieval." RMIT University. Computer Science and Information Technology, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080104.142709.

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XML is being adopted as a common storage format in scientific data repositories, digital libraries, and on the World Wide Web. Accordingly, there is a need for content-oriented XML retrieval systems that can efficiently and effectively store, search and retrieve information from XML document collections. Unlike traditional information retrieval systems where whole documents are usually indexed and retrieved as information units, XML retrieval systems typically index and retrieve document components of varying granularity. To evaluate the effectiveness of such systems, test collections where re
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Sanz, Blasco Ismael. "Flexible techniques for heterogeneous XML data retrieval." Doctoral thesis, Universitat Jaume I, 2007. http://hdl.handle.net/10803/10373.

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The progressive adoption of XML by new communities of users has motivated the appearance of applications that require the management of large and complex collections, which present a large amount of heterogeneity. Some relevant examples are present in the fields of bioinformatics, cultural heritage, ontology management and geographic information systems, where heterogeneity is not only reflected in the textual content of documents, but also in the presence of rich structures which cannot be properly accounted for using fixed schema definitions. Current approaches for dealing with heterogeneous
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Dopichaj, Philipp. "Content oriented retrieval on document centric XML." München Verl. Dr. Hut, 2007. http://d-nb.info/987370731/04.

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Shen, Yun. "Accelerating data retrieval steps in XML documents." Thesis, University of Hull, 2005. http://hydra.hull.ac.uk/resources/hull:8310.

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The aim of this research is to accelerate the data retrieval steps in a collection of XML (eXtensible Markup Language) documents, a key task of current XML research. The following three inter-connected issues relating to the state-of-theart XML research are thus studied: semantically clustering XML documents, efficiently querying XML document with an index structure and self-adaptively labelling dynamic XML documents, which form a basic but self-contained foundation of a native XML database system. This research is carried out by following a divide-and-conquer strategy. The issue of dividing a
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PANZERI, EMANUELE. "Enhanced XML Retrieval with Flexible Constraints Evaluation." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2014. http://hdl.handle.net/10281/50791.

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Since its standardization by the World Wide Web Consortium (W3C) in 1998, the XML (acronym for eXtensible Markup Language) has been acknowledged as the de-facto standard format for data, besides being a data format employed by a wide and increasing number of application domains. XML allows data and textual contents to be structured; the structural elements are specified in plain text using strings of characters that can be easily read by computer programs, while maintaining human-readability. XPath and XQuery represent the two main standard languages that have been defined to inquire X
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Bremer, Jan-Marco. "Next-generation information retrieval : integrating document and data retrieval based on XML /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2003. http://uclibs.org/PID/11984.

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Wulff, Sascha. "Integration von Information-Retrieval-Funktionalität in XML-Repositories." Zürich : Eidgenössische Technische Hochschule Zürich, Institut für Informationssysteme, Fachgruppe Datenbanken, 2002. http://e-collection.ethbib.ethz.ch/show?type=dipl&nr=30.

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Ashoori, Elham. "Using Topic Shifts in Content-Oriented XML Retrieval." Thesis, Queen Mary, University of London, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.509726.

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Lam, Franky Shung Lai Chemical Sciences &amp Engineering Faculty of Engineering UNSW. "Optimization techniques for XML databases." Awarded by:University of New South Wales. Chemical Sciences & Engineering, 2007. http://handle.unsw.edu.au/1959.4/40702.

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In this thesis, we address several fundamental concerns of maintaining and querying huge ordered label trees. We focus on practical implementation issues of storing, updating and query optimization of XML database management system. Specifically, we address the XML order maintenance problem, efficient evaluation of structural join, intrinsic skew handling of join, succinct storage of XML data and update synchronization of mobile XML data.
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Livres sur le sujet "XML Retrieval"

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Lalmas, Mounia. XML Retrieval. Springer International Publishing, 2009. http://dx.doi.org/10.1007/978-3-031-02263-0.

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Lalmas, Mounia. XML retrieval. Morgan & Claypool Publishers, 2009.

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Fuhr, Norbert, Mounia Lalmas, Saadia Malik, and Zoltán Szlávik, eds. Advances in XML Information Retrieval. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b136250.

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Fuhr, Norbert, Mounia Lalmas, and Andrew Trotman, eds. Comparative Evaluation of XML Information Retrieval Systems. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73888-6.

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Fuhr, Norbert, Mounia Lalmas, Saadia Malik, and Gabriella Kazai, eds. Advances in XML Information Retrieval and Evaluation. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11766278.

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Ross, Timothy. XML, managing data exchange. Global Media, 2007.

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Grabs, Torsten. Storage and retrieval of XML documents with a cluster of database systems. AKA, 2003.

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Initiative for the Evaluation of XML Retrieval (Project). International Workshop. Advances in XML information retrieval and evaluation: 4th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2005, Dagstuhl Castle, Germany, November 28-30, 2005 : revised selected papers. Springer, 2006.

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Lu, Jiaheng. An Introduction to XML Query Processing and Keyword Search. Springer Berlin Heidelberg, 2013.

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Norbert, Fuhr, ed. Advances in XML information retrieval: Third International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2004, Dagstuhl Castle, Germany, December 6-8, 2004 : revised selected papers. Springer, 2005.

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Chapitres de livres sur le sujet "XML Retrieval"

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Lalmas, Mounia. "Conclusions." In XML Retrieval. Springer International Publishing, 2009. http://dx.doi.org/10.1007/978-3-031-02263-0_9.

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Lalmas, Mounia. "Basic XML Concepts." In XML Retrieval. Springer International Publishing, 2009. http://dx.doi.org/10.1007/978-3-031-02263-0_2.

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Lalmas, Mounia. "Presentation strategies." In XML Retrieval. Springer International Publishing, 2009. http://dx.doi.org/10.1007/978-3-031-02263-0_7.

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Lalmas, Mounia. "Ranking strategies." In XML Retrieval. Springer International Publishing, 2009. http://dx.doi.org/10.1007/978-3-031-02263-0_6.

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Lalmas, Mounia, and Andrew Trotman. "XML Retrieval." In Encyclopedia of Database Systems. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4899-7993-3_474-2.

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Lalmas, Mounia, and Andrew Trotman. "XML Retrieval." In Encyclopedia of Database Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_474.

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Lalmas, Mounia, and Andrew Trotman. "XML Retrieval." In Encyclopedia of Database Systems. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_474.

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Kong, Zhigang, and Mounia Lalmas. "XML Multimedia Retrieval." In String Processing and Information Retrieval. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11575832_24.

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Amati, Gianni, Claudio Carpineto, and Giovanni Romano. "Merging XML Indices." In Advances in XML Information Retrieval. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11424550_20.

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Pehcevski, Jovan, James A. Thom, S. M. M. Tahaghoghi, and Anne-Marie Vercoustre. "Hybrid XML Retrieval Revisited." In Advances in XML Information Retrieval. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11424550_13.

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Actes de conférences sur le sujet "XML Retrieval"

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Sauvagnat, Karen, Lobna Hlaoua, and Mohand Boughanem. "XML retrieval." In the 2006 ACM symposium. ACM Press, 2006. http://dx.doi.org/10.1145/1141277.1141540.

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Kamps, Jaap, Maarten Marx, Maarten de Rijke, and Börkur Sigurbjörnsson. "XML retrieval." In the 26th annual international ACM SIGIR conference. ACM Press, 2003. http://dx.doi.org/10.1145/860435.860525.

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Fuhr, Norbert, and Mounia Lalmas. "Advances in XML retrieval." In the 2006 international workshop. ACM Press, 2007. http://dx.doi.org/10.1145/1364742.1364763.

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Kamps, Jaap, Maarten Marx, Maarten de Rijke, and Börkur Sigurbjörnsson. "Structured queries in XML retrieval." In the 14th ACM international conference. ACM Press, 2005. http://dx.doi.org/10.1145/1099554.1099559.

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Chinenyanga, Taurai Tapiwa, and Nicholas Kushmerick. "Expressive retrieval from XML documents." In the 24th annual international ACM SIGIR conference. ACM Press, 2001. http://dx.doi.org/10.1145/383952.383982.

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Kamps, Jaap, Maarten de Rijke, and Börkur Sigurbjörnsson. "Length normalization in XML retrieval." In the 27th annual international conference. ACM Press, 2004. http://dx.doi.org/10.1145/1008992.1009009.

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Blanke, Tobias, and Mounia Lalmas. "Theoretical benchmarks of XML retrieval." In the 29th annual international ACM SIGIR conference. ACM Press, 2006. http://dx.doi.org/10.1145/1148170.1148281.

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Piwowarski, Benjamin, and Georges Dupret. "Evaluation in (XML) information retrieval." In the 29th annual international ACM SIGIR conference. ACM Press, 2006. http://dx.doi.org/10.1145/1148170.1148218.

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Wahid, Norfaradilla, and Eric Pardede. "XML semantic constraint validation for XML updates: A survey." In 2011 International Conference on Semantic Technology and Information Retrieval (STAIR). IEEE, 2011. http://dx.doi.org/10.1109/stair.2011.5995765.

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Broschart, Andreas, and Ralf Schenkel. "Proximity-aware scoring for XML retrieval." In the 31st annual international ACM SIGIR conference. ACM Press, 2008. http://dx.doi.org/10.1145/1390334.1390535.

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