Relevant bibliographies by topics / XML Retrieval

Contents

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

Academic literature on the topic 'XML Retrieval'

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Published: 9 March 2023
Last updated: 10 March 2023

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Journal articles on the topic "XML Retrieval"

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Lalmas, Mounia. "XML Retrieval." Synthesis Lectures on Information Concepts, Retrieval, and Services 1, no. 1 (January 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 (December 2005): 571–600. http://dx.doi.org/10.1007/s10791-005-0748-1.

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Carmel, David, Yoelle Maarek, and Aya Soffer. "XML and information retrieval." ACM SIGIR Forum 34, no. 1 (April 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 (March 2001): 62–65. http://dx.doi.org/10.1145/373626.373705.

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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-means clustering algorithm. As an example of usage, we have tested the prototype on some data sets to the mobile scenario and illustrated the feasibility of the proposed approach. The model demonstrated in this article is available on the mobile XML Retrieval project website: http://code.google.com/p/mobilexmlretrieval/.
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Beamer, Ashley, and Mark Gillick. "ScotlandsPlaces XML: bespoke XML or XML mapping?" Program 44, no. 1 (February 16, 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 itself and the need for dynamic web services are in turn explored.FindingsIt was found that, due to the nature of the project, the combination of a bespoke ScotlandsPlaces XML format and a set of matching web services was the best choice in terms of the retrieval of different domain datasets, as well as the desired extensible nature of the project.Research limitations/implicationsIt may have proven useful to investigate the datasets of more ScotlandsPlaces partners, but as yet only a limited number of first phase partners' datasets could be studied, as the second phase of the project has yet to begin.Originality/valueRather than an information portal, the ScotlandsPlaces web site aggregates disparate types of record, whether site records, archival or otherwise, into a single web site and makes these records discoverable via geographical searching. Aggregated data are accessed through web service queries (using a bespoke XML format developed specifically for the project for data return) and allow partner organisations to add their datasets regardless of the organisational domain. The service also allows spatially referenced records to be plotted on to a geo‐browser via a KML file, which in turn lets users evaluate the results based on geographical location.
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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 the IEEE SC corpus. Compared with k-nearest neighbor classification (KNN) on the same dataset in our application, SVM perform better. The experiment results have also shown that the use of structure features, especially tag paths and edges, can improve the classification performance significantly.
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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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Blanke, Tobias. "Theoretical evaluation of XML retrieval." ACM SIGIR Forum 46, no. 1 (May 20, 2012): 82–83. http://dx.doi.org/10.1145/2215676.2215689.

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Blanke, Tobias, and Mounia Lalmas. "Specificity aboutness in XML retrieval." Information Retrieval 14, no. 1 (September 4, 2010): 68–88. http://dx.doi.org/10.1007/s10791-010-9144-6.

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Dissertations / Theses on the topic "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 evaluation of XML retrieval and apply this methodology to five XML retrieval models and other XML retrieval topics such as evaluation methodologies, filters and experimental results.
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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 relevance assessments are provided according to an XML-specific definition of relevance are necessary. Such test collections have been built during four rounds of the INitiative for the Evaluation of XML Retrieval (INEX). There are many different approaches to XML retrieval; most approaches either extend full-text information retrieval systems to handle XML retrieval, or use database technologies that incorporate existing XML standards to handle both XML presentation and retrieval. We present a hybrid approach to XML retrieval that combines text information retrieval features with XML-specific features found in a native XML database. Results from our experiments on the INEX 2003 and 2004 test collections demonstrate the usefulness of applying our hybrid approach to different XML retrieval tasks. A realistic definition of relevance is necessary for meaningful comparison of alternative XML retrieval approaches. The three relevance definitions used by INEX since 2002 comprise two relevance dimensions, each based on topical relevance. We perform an extensive analysis of the two INEX 2004 and 2005 relevance definitions, and show that assessors and users find them difficult to understand. We propose a new definition of relevance for XML retrieval, and demonstrate that a relevance scale based on this definition is useful for XML retrieval experiments. Finding the appropriate approach to evaluate XML retrieval effectiveness is the subject of ongoing debate within the XML information retrieval research community. We present an overview of the evaluation methodologies implemented in the current INEX metrics, which reveals that the metrics follow different assumptions and measure different XML retrieval behaviours. We propose a new evaluation metric for XML retrieval and conduct an extensive analysis of the retrieval performance of simulated runs to show what is measured. We compare the evaluation behaviour obtained with the new metric to the behaviours obtained with two of the official INEX 2005 metrics, and demonstrate that the new metric can be used to reliably evaluate XML retrieval effectiveness. To analyse the effectiveness of XML retrieval in different application scenarios, we use evaluation measures in our new metric to investigate the behaviour of XML retrieval approaches under the following two scenarios: the ad-hoc retrieval scenario, exploring the activities carried out as part of the INEX 2005 Ad-hoc track; and the multimedia retrieval scenario, exploring the activities carried out as part of the INEX 2005 Multimedia track. For both application scenarios we show that, although different values for retrieval parameters are needed to achieve the optimal performance, the desired textual or multimedia information can be effectively located using a combination of XML retrieval approaches.
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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 XML data are, however, mainly focused at the content level, whereas at the structural level only a limited amount of heterogeneity is tolerated; for instance, weakening the parent-child relationship between nodes into the ancestor-descendant relationship.
The main objective of this thesis is devising new approaches for querying heterogeneous XML collections. This general objective has several implications: First, a collection can present different levels of heterogeneity in different granularity levels; this fact has a significant impact in the selection of specific approaches for handling, indexing and querying the collection. Therefore, several metrics are proposed for evaluating the level of heterogeneity at different levels, based on information-theoretical considerations. These metrics can be employed for characterizing collections, and clustering together those collections which present similar characteristics.
Second, the high structural variability implies that query techniques based on exact tree matching, such as the standard XPath and XQuery languages, are not suitable for heterogeneous XML collections. As a consequence, approximate querying techniques based on similarity measures must be adopted. Within the thesis, we present a formal framework for the creation of similarity measures which is based on a study of the literature that shows that most approaches for approximate XML retrieval (i) are highly tailored to very specific problems and (ii) use similarity measures for ranking that can be expressed as ad-hoc combinations of a set of --basic' measures. Some examples of these widely used measures are tf-idf for textual information and several variations of edit distances. Our approach wraps these basic measures into generic, parametrizable components that can be combined into complex measures by exploiting the composite pattern, commonly used in Software Engineering. This approach also allows us to integrate seamlessly highly specific measures, such as protein-oriented matching functions.
Finally, these measures are employed for the approximate retrieval of data in a context of highly structural heterogeneity, using a new approach based on the concepts of pattern and fragment. In our context, a pattern is a concise representations of the information needs of a user, and a fragment is a match of a pattern found in the database. A pattern consists of a set of tree-structured elements --- basically an XML subtree that is intended to be found in the database, but with a flexible semantics that is strongly dependent on a particular similarity measure. For example, depending on a particular measure, the particular hierarchy of elements, or the ordering of siblings, may or may not be deemed to be relevant when searching for occurrences in the database.
Fragment matching, as a query primitive, can deal with a much higher degree of flexibility than existing approaches. In this thesis we provide exhaustive and top-k query algorithms. In the latter case, we adopt an approach that does not require the similarity measure to be monotonic, as all previous XML top-k algorithms (usually based on Fagin's algorithm) do. We also presents two extensions which are important in practical settings: a specification for the integration of the aforementioned techniques into XQuery, and a clustering algorithm that is useful to manage complex result sets.
All of the algorithms have been implemented as part of ArHeX, a toolkit for the development of multi-similarity XML applications, which supports fragment-based queries through an extension of the XQuery language, and includes graphical tools for designing similarity measures and querying collections. We have used ArHeX to demonstrate the effectiveness of our approach using both synthetic and real data sets, in the context of a biomedical research project.
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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 collection of XML documents into sub-clusters, in which semantically similar XML documents are grouped together, is addressed at first. To achieve this purpose, a semantic component model to model the implicit semantic of an XML document is proposed. This model enables us to devise a set of heuristic algorithms to' compute the degree of similarity among XML documents. In particular, the newly proposed semantic component model and the heuristic algorithms reflect the inaccuracy of the traditional edit-distance-based clustering mechanisms. After similar XML documents are grouped into sub-collections,the problem of querying XML documents with an index structure is carefully studied. A novel geometric sequence model is proposed to transform XML documents into numbered geometric sequences and XPath queries into geometric query sequences. The problem of evaluating an XPath query in an XML document is theoretically proved to be equal to the problem of finding the subsequence .matchings of a geometric query sequence in a numbered geometric document sequence. This geometric sequence model then enables us to devise two new stackbased algorithms to perform both top-down and bottom-up XPath evaluation in XML documents. In particular, the algorithms treat an XPath query as a whole unit, avoiding resource-consuming join operations and generating all the answers without semantic errors and false alarms. Finally the issue of supporting update functions in XML documents is tackled. A new Bayesian allocation model is introduced for the index structure generated in geometric sequence model. Based on k-ary tree data structure and the level traversal mechanism, the correctness and efficiency of the Bayesian allocation model in supporting dynamic XML documents is theoretically proved. In particular, the Bayesian allocation model is general and can be applied to most of the current index structures.
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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 XML data; the two languages allow to select a subset of elements from an XML document, and to further manipulate its contents and to restructure the document tree form. Both XPath and XQuery are based on a Database perspective of XML documents, where the evaluation of the query clauses is performed like in the database query language SQL, from which both the XML languages took inspiration. The data-centric perspective adopted by the XQuery and XPath languages has been recently extended by an Information Retrieval oriented approach, where a new set of content-based constraints have been defined that allow a full-text search in an IR-style, with an element relevance scoring computation. This extension is called XQuery/XPath Full-Text and has been standardized by the W3C. In the Information Retrieval community other approaches have appeared that take into account the document structure and propose a set of approximate structural matching techniques, where the standard XQuery and XPath structural constraints are evaluated by path relaxation algorithms. Such approaches, however, do not offer the user the possibility to express vague structural constraints the approximate evaluation of which produces a set of weighted fragments, where the weight express the relevance of the fragment with respect to the structural constraints. This thesis describes the definition and the implementation of a formal XQuery Full-Text extension named FleXy, aimed at taking into account the user perspective in the formulation of structure-based constraints, where vagueness can be associated to the specification of such constraints. FleXy has been designed as an extension of the XQuery Full-Text language to inherit both the full-text search features from the Full-Text extension, and the standard element selection provided by XQuery. The evaluation of two new vague structural constraints defined in the FleXy language, named Below and Near, produces a set of weighted elements, where a structural-score is computed by taking into account the distance from the user required target element and the actually retrieved one. Thresholds variants of the Below and Near constraints have also been defined which allow to specify the extent of the application of the vague structural constraints. The formal definition of the FleXy language is here provided through its syntax, its semantics, and the algorithms that define the Below and the Nnear axes. The language implementation has been performed on top of an Open Source XQuery engine named BaseX, a fully featured XQuery and XPath engine with a complete adherence to the Full-Text language specification. Performance evaluations have been subsequently provided to compare the FleXy constraints with the standard XQuery counterparts, when available. Finally, a patent search application has been developed by leveraging the FleXy implementation provided on top of the BaseX engine: the XML structure of the US Patent Collection (USPTO) has been exploited in conjunction with the textual contents of the patents to help non-expert users to effectively retrieve relevant patents by also offering a result categorization strategy.
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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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Books on the topic "XML Retrieval"

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

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Lalmas, Mounia. XML retrieval. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool Publishers, 2009.

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

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

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Relational and XML data exchange. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2010.

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Norbert, Fuhr, Lalmas Mounia, and Trotman Andrew, eds. Comparative evaluation of XML information retrieval systems: 5th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2006, Dagstuhl Castle, Germany, December 17-20, 2006 ; revised and selected papers. Berlin: Springer, 2007.

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

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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. Berlin: Springer, 2005.

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Book chapters on the topic "XML Retrieval"

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Lalmas, Mounia. "Conclusions." In XML Retrieval, 73–79. Cham: 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, 3–10. Cham: 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, 47–54. Cham: 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, 37–46. Cham: 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, 1–6. New York, NY: 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, 3616–21. Boston, MA: 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, 4784–89. New York, NY: 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, 218–23. Berlin, Heidelberg: 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, 253–60. Berlin, Heidelberg: 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, 153–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11424550_13.

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Conference papers on the topic "XML Retrieval"

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Sauvagnat, Karen, Lobna Hlaoua, and Mohand Boughanem. "XML retrieval." In the 2006 ACM symposium. New York, New York, USA: 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. New York, New York, USA: 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. New York, New York, USA: 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. New York, New York, USA: 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. New York, New York, USA: 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. New York, New York, USA: 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. New York, New York, USA: 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. New York, New York, USA: 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. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1390334.1390535.

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