Abstract
Exploiting the structure of a document allows for more powerful information retrieval techniques. In this article a basic approach is discussed for the retrieval of XML document fragments. Based on a vector-space model for text retrieval we aim at investigating various strategies that influence the retrieval performance of an XML-based IR system.
The first extension of the system uses a schema-based approach that assumes that authors tag their text to emphasise on particular pieces of content that are of importance. Based on the schema used by the document collection, the system can easily derive the children of mixed content nodes. Our hypothesis is that those child nodes are more important than other nodes.
The second approach discussed here is based on a horizontal fragmentation of the inverse document frequencies, used by the vector space model. The underlying assumption states that the distribution of terms is related to the semantical structure of the document. However, we observed that the IEEE collection is not a good example of semantic tagging.
The third approach investigates how the performance of the retrieval system can improve for the ’Content Only’ task by using a set of a-priori defined cut-off nodes that define ‘logical’ document fragments that are of interest to a user.
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References
Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. ACM Press, New York (1999)
Fuhr, N., Kazai, N., Lalmas, M.: INEX: Initiative for the evaluation of XML retrieval. In: Proceedings of the ACM SIGIR 2000 Workshop on XML and Information Retrieval (2000)
Fuhr, N., Malik, S., Lalmas, M.: Overview of the initiative for the evaluation of xml. In: Proceedings of the Second INitiative for the Evaluation of XML Retrieval (INEX) Workshop, December 2003, pp. 1–11 (2003)
Kazai, G.: Report of the inex 2003 metrics working group. In: Proceedings of the Second INitiative for the Evaluation of XML Retrieval (INEX) Workshop, Dagstuhl, Germany, pp. 184–190 (2003)
Lalmas, M., Malik, S.: Inex 2004 retrieval task and result submission specification (June 2004), http://inex.is.informatik.uni-duisburg.de:2004/internal/pdf/INEX04_Retrieval_Task.pdf
List, J.A., de Vries, A.P.: CWI at inex 2002. In: Proceedings of the First Workshop of the INitiative for the Evaluation of XML Retrieval (INEX) (2002)
Malik, S., Lalmas, M. (2004), http://inex.lip6.fr/2004/metrics/official.php
Salton, G., Buckley, C.: Term-weighting approaches in automatic text retrieval. Information Processing and Management 24(5), 513–523 (1988)
Trotman, A., O’Keefe, R.A.: The simplest query language that could possibly work. In: Proceedings of the Second Workshop of the INitiative for the Evaluation of XML retrieval, INEX (2004)
van Zwol, R.: Modelling and searching web-based document collections, Enschede, the Netherlands, April 26. Ctit ph.d. thesis series, Centre for Telematics and Information Technology, CTIT (2002)
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van Zwol, R., Wiering, F., Dignum, V. (2005). The Utrecht Blend: Basic Ingredients for an XML Retrieval System. In: Fuhr, N., Lalmas, M., Malik, S., Szlávik, Z. (eds) Advances in XML Information Retrieval. INEX 2004. Lecture Notes in Computer Science, vol 3493. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424550_12
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DOI: https://doi.org/10.1007/11424550_12
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