Relevant bibliographies by topics / Evaluation of XML retrieval effectiveness

Contents

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

Academic literature on the topic 'Evaluation of XML retrieval effectiveness'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 February 2022

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Journal articles on the topic "Evaluation of XML retrieval effectiveness"

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Lalmas, Mounia, and Anastasios Tombros. "Evaluating XML retrieval effectiveness at INEX." ACM SIGIR Forum 41, no. 1 (June 2007): 40–57. http://dx.doi.org/10.1145/1273221.1273225.

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Gövert, Norbert, Norbert Fuhr, Mounia Lalmas, and Gabriella Kazai. "Evaluating the effectiveness of content-oriented XML retrieval methods." Information Retrieval 9, no. 6 (September 1, 2006): 699–722. http://dx.doi.org/10.1007/s10791-006-9008-2.

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Selvaganesan, S., Su-Cheng Haw, and Lay-Ki Soon. "XDMA: A Dual Indexing and Mutual Summation Based Keyword Search Algorithm for XML Databases." International Journal of Software Engineering and Knowledge Engineering 24, no. 04 (May 2014): 591–615. http://dx.doi.org/10.1142/s0218194014500223.

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Achieving the effectiveness in relation to the relevance of query result is the most crucial part of XML keyword search. Developing an XML Keyword search approach which addresses the user search intention, keyword ambiguity problems and query/search result grading (ranking) problem is still challenging. In this paper, we propose a novel approach called XDMA for keyword search in XML databases that builds two indices to resolve these problems. Then, a keyword search technique based on two-level matching between two indices is presented. Further, by utilizing the logarithmic and probability functions, a terminology that defines the Mutual Score to find the desired T-typed node is put forward. We also introduce the similarity measure to retrieve the exact data through the selected T-typed node. In addition, grading for the query results having comparable relevance scores is employed. Finally, we demonstrate the effectiveness of our proposed approach, XDMA with a comprehensive experimental evaluation using the datasets of DBLP, WSU and eBay.
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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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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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Pal, Sukomal, Mandar Mitra, and Jaap Kamps. "Evaluation effort, reliability and reusability in XML retrieval." Journal of the American Society for Information Science and Technology 62, no. 2 (December 14, 2010): 375–94. http://dx.doi.org/10.1002/asi.21403.

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Wichaiwong, Tanakorn. "An Exponentiation Method for XML Element Retrieval." Scientific World Journal 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/404518.

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XML document is now widely used for modelling and storing structured documents. The structure is very rich and carries important information about contents and their relationships, for example, e-Commerce. XML data-centric collections require query terms allowing users to specify constraints on the document structure; mapping structure queries and assigning the weight are significant for the set of possibly relevant documents with respect to structural conditions. In this paper, we present an extension to the MEXIR search system that supports the combination of structural and content queries in the form of content-and-structure queries, which we call the Exponentiation function. It has been shown the structural information improve the effectiveness of the search system up to 52.60% over the baseline BM25 at MAP.
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WANG, JASON T. L., JIANGHUI LIU, and JUNHAN WANG. "XML CLUSTERING AND RETRIEVAL THROUGH PRINCIPAL COMPONENT ANALYSIS." International Journal on Artificial Intelligence Tools 14, no. 04 (August 2005): 683–99. http://dx.doi.org/10.1142/s0218213005002326.

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XML is increasingly important in data exchange and information management. A great deal of efforts have been spent in developing efficient techniques for storing, querying, indexing and accessing XML documents. In this paper we propose a new approach to clustering XML data. In contrast to previous work, which focused on documents defined by different DTDs, the proposed method works for documents with the same DTD. Our approach is to extract features from documents, modeled by ordered labeled trees, and transform the documents to vectors in a high-dimensional Euclidean space based on the occurrences of the features in the documents. We then reduce the dimensionality of the vectors by principal component analysis (PCA) and cluster the vectors in the reduced dimensional space. The PCA enables one to identify vectors with co-occurrent features, thereby enhancing the accuracy of the clustering. We also discuss an extension of our techniques to XML retrieval. Experimental results based on documents obtained from Wisconsin's XML data bank show the effectiveness and good performance of the proposed techniques.
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Blanke, Tobias, Mounia Lalmas, and Theo Huibers. "A framework for the theoretical evaluation of XML retrieval." Journal of the American Society for Information Science and Technology 63, no. 12 (November 8, 2012): 2463–73. http://dx.doi.org/10.1002/asi.22674.

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Fuhr, Norbert, and Norbert Gövert. "Retrieval quality vs. effectiveness of specificity-oriented search in XML collections." Information Retrieval 9, no. 1 (January 2006): 55–70. http://dx.doi.org/10.1007/s10791-005-5721-5.

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Dissertations / Theses on the topic "Evaluation of XML retrieval effectiveness"

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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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Kazai, Gabriella. "Evaluation of focused retrieval approaches in the context of context-oriented XML information retrieval : Test collection construction and effectiveness measures." Thesis, Queen Mary, University of London, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.515465.

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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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Fuhr, Norbert et al (Hrsg /Eds ). "Initiative for the Evaluation of XML Retrieval (INEX) : INEX 2003 Workshop Proceedings, Dagstuhl, Germany, December 15-17, 2003." Gerhard-Mercator-Universitaet Duisburg, 2004. http://www.ub.uni-duisburg.de/ETD-db/theses/available/duett-07012004-093151/.

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Mason, Cecily, and cecily mason@deakin edu au. "I.T. investment effectiveness in education." Swinburne University of Technology, 2001. http://adt.lib.swin.edu.au./public/adt-VSWT20051130.142153.

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Governments and school communities are heavily investing in information technology (IT) assuming that this will prepare their children for the workforce and in future life. This research aimed to establish an IT investment effectiveness model in the educational, domain easily applicable to schools in assessing whether their IT investments were effective. Literature research revealed a dearth of information on IT investment effectiveness in the area of education and it was therefore deemed necessary to implement an interpretive approach. Consequently a qualitative combined research methodology involving literature research, interviews, and a modified Delphi Survey I was undertaken. An initial starting point investigated the extensive business literature in IT effectiveness and IT investment particularly in small business, as most schools due to their size and budget can be categorised as thus. The information gleaned from the literature assisted in establishing a questionnaire for the interviews. Participants were selected from thirteen Victorian State, private and Catholic secondary schools that were perceived as expert in the area of IT. An in-depth three stage analysis of the interview data revealed twenty-four initial key issues. These key issues were then circulated to the participants who were requested to rate each issue using an interval scale. They were also asked to add or delete any issues, giving a rationale for their action. Participants underwent a two round process of highlighting and reassessing the key issues and the Delphi Survey was found to be valid as two new issues not identified from the interview process were raised. Based on their responses ten key issues were derived: the Principal, teachers, curriculum and IT planning, technical support, the students, the actual use of IT, training and personal development, the school council, budget, and the Learning Technologies Committee. These key issues revealed themselves as indicators or determinants of IT investment effectiveness exhibiting organisational or individual perspectives. The analysis of previous research, together with the current research findings enabled the development of a functional Model of IT Investment Effectiveness which can now be used by schools to assess their IT investment effectiveness. Finally the schools surveyed were utilising the best business IT practise and were treating IT as a strategic issue with their IT goals closely aligned and based upon the goals of the school.
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Ali, Mir Sadek. "Formulating Evaluation Measures for Structured Document Retrieval using Extended Structural Relevance." Thesis, 2012. http://hdl.handle.net/1807/33904.

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Structured document retrieval (SDR) systems minimize the effort users spend to locate relevant information by retrieving sub-documents (i.e., parts of, as opposed to entire, documents) to focus the user's attention on the relevant parts of a retrieved document. SDR search tasks are differentiated by the multiplicity of ways that users prefer to spend effort and gain relevant information in SDR. The sub-document retrieval paradigm has required researchers to undertake costly user studies to validate whether new IR measures, based on gain and effort, accurately capture IR performance. We propose the Extended Structural Relevance (ESR) framework as a way, akin to classical set-based measures, to formulate SDR measures that share the common basis of our proposed pillars of SDR evaluation: relevance, navigation and redundancy. Our experimental results show how ESR provides a flexible way to formulate measures, and addresses the challenge of testing measures across related search tasks by replacing costly user studies with low-cost simulation.
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Behrends, Erik. "Evaluation of Queries on Linked Distributed XML Data." Doctoral thesis, 2006. http://hdl.handle.net/11858/00-1735-0000-0006-B38A-9.

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Books on the topic "Evaluation of XML retrieval effectiveness"

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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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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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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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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. Berlin: Springer, 2006.

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Geva, Shlomo. Focused Retrieval and Evaluation: 8th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2009, Brisbane, Australia, December 7-9, 2009, Revised and Selected Papers. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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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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Shlomo, Geva, Kamps Jaap, and Trotman Andrew, eds. Advances in focused retrieval: 7th international workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008, Dagstuhl Castle, Germany, December 15-18, 2008 : revised and selected papers. Berlin: Springer, 2009.

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Vidal-Arbona, Carlos. Comparing the retrieval effectiveness of free-text and citation search strategies in the subject of technology planning. Ann Arbor, Mich: University Microfilms International, 1986.

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David, Hutchison. Focused Access to XML Documents: 6th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2007 Dagstuhl Castle, Germany, December 17-19, 2007. Selected Papers. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2008.

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Geva, Shlomo. Comparative Evaluation of Focused Retrieval: 9th International Workshop of the Inititative for the Evaluation of XML Retrieval, INEX 2010, Vugh, The Netherlands, December 13-15, 2010, Revised Selected Papers. Berlin, Heidelberg: Springer-Verlag GmbH Berlin Heidelberg, 2011.

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Book chapters on the topic "Evaluation of XML retrieval effectiveness"

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Pehcevski, Jovan, and James A. Thom. "HiXEval: Highlighting XML Retrieval Evaluation." In Lecture Notes in Computer Science, 43–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-34963-1_4.

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Nayak, Richi, Christopher M. De Vries, Sangeetha Kutty, Shlomo Geva, Ludovic Denoyer, and Patrick Gallinari. "Overview of the INEX 2009 XML Mining Track: Clustering and Classification of XML Documents." In Focused Retrieval and Evaluation, 366–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14556-8_36.

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Li, Rongmei, and Theo van der Weide. "Language Models for XML Element Retrieval." In Focused Retrieval and Evaluation, 95–102. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14556-8_11.

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Wang, Qiuyue, Qiushi Li, Shan Wang, and Xiaoyong Du. "Exploiting Semantic Tags in XML Retrieval." In Focused Retrieval and Evaluation, 133–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14556-8_15.

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Kutty, Sangeetha, Richi Nayak, and Yuefeng Li. "Utilising Semantic Tags in XML Clustering." In Focused Retrieval and Evaluation, 416–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14556-8_41.

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Largeron, Christine, Christophe Moulin, and Mathias Géry. "UJM at INEX 2009 XML Mining Track." In Focused Retrieval and Evaluation, 426–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14556-8_42.

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Mohan, Sriram, and Arijit Sengupta. "DocBase – The INEX Evaluation Experience." In Advances in XML Information Retrieval, 261–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11424550_21.

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Larson, Ray R. "Ranking and Fusion Approaches for XML Book Retrieval." In Focused Retrieval and Evaluation, 179–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14556-8_19.

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Altingovde, Ismail Sengor, Duygu Atilgan, and Özgür Ulusoy. "Exploiting Index Pruning Methods for Clustering XML Collections." In Focused Retrieval and Evaluation, 379–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14556-8_37.

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Hagio, Kazuhito, Takashi Ohgami, Hideo Bannai, and Masayuki Takeda. "Eager XPath Evaluation over XML Streams." In String Processing and Information Retrieval, 245–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34109-0_26.

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Conference papers on the topic "Evaluation of XML retrieval effectiveness"

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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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Ali, M. S., Mariano P. Consens, and Bassam Helou. "Improving the Effectiveness of XML Retrieval with User Navigation Models." In 2009 IEEE 25th International Conference on Data Engineering (ICDE). IEEE, 2009. http://dx.doi.org/10.1109/icde.2009.173.

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Kazai, Gabriella, Mounia Lalmas, and Arjen P. de Vries. "The overlap problem in content-oriented XML retrieval evaluation." In the 27th annual international conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1008992.1009008.

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Piwowarski, Benjamin, and Mounia Lalmas. "Providing consistent and exhaustive relevance assessments for XML retrieval evaluation." In the Thirteenth ACM conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1031171.1031246.

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Ogilvie, Paul, and Mounia Lalmas. "Investigating the exhaustivity dimension in content-oriented XML element retrieval evaluation." In the 15th ACM international conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1183614.1183631.

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Roitero, Kevin, Michael Soprano, and Stefano Mizzaro. "Effectiveness Evaluation with a Subset of Topics." In SIGIR '18: The 41st International ACM SIGIR conference on research and development in Information Retrieval. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3209978.3210108.

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Amigó, Enrique, Fernando Giner, Stefano Mizzaro, and Damiano Spina. "A Formal Account of Effectiveness Evaluation and Ranking Fusion." In ICTIR '18: The 2018 ACM SIGIR International Conference on the Theory of Information Retrieval. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3234944.3234958.

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Mizzaro, Stefano, Josiane Mothe, Kevin Roitero, and Md Zia Ullah. "Query Performance Prediction and Effectiveness Evaluation Without Relevance Judgments." In SIGIR '18: The 41st International ACM SIGIR conference on research and development in Information Retrieval. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3209978.3210146.

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Webber, William, Mossaab Bagdouri, David D. Lewis, and Douglas W. Oard. "Sequential testing in classifier evaluation yields biased estimates of effectiveness." In SIGIR '13: The 36th International ACM SIGIR conference on research and development in Information Retrieval. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2484028.2484159.

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Mandl, Thomas, and Christa Womser-Hacker. "The effect of named entities on effectiveness in cross-language information retrieval evaluation." In the 2005 ACM symposium. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1066677.1066919.

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