Abstract
Highly heterogeneous XML data collections that do not have a global schema, as arising, for example, in federations of digital libraries or scientific data repositories, cannot be effectively queried with XQuery or XPath alone, but rather require a ranked retrieval approach. As known from ample work in the IR field, relevance feedback provided by the user that drives automatic query refinement or expansion can often lead to improved search result quality (e.g., precision or recall). In this paper we present a framework for feedback-driven XML query refinement and address several building blocks including reweighting of query conditions and ontology-based query expansion. We point out the issues that arise specifically in the XML context and cannot be simply addressed by straightforward use of traditional IR techniques, and we present our approaches towards tackling them.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Baeza-Yates, R., Ribeiro-Neto, B. (eds.): Modern Information Retrieval. Addison-Wesley, Reading (1999)
Buckley, C., Salton, G.: Optimization of relevance feedback weights. In: Proc. of the 18th ACM SIGIR, pp. 351–357. ACM Press, New York (1995)
Cetintemel, U., Franklin, M.J., Giles, C.L.: Flexible user profiles for large scale data delivery. Technical Report CS-TR-4005 (UMIACS-TR-99-18), University of Maryland (1999)
Cui, H., Wen, J.-R., Nie, J.-Y., Ma, W.-Y.: Query expansion by mining user logs. IEEE Transaction on Knowledge and Data Engineering 15(4), 829–839 (2003)
Fagin, R., Wimmers, E.L.: Incorporating user preferences in multimedia queries. In: Afrati, F.N., Kolaitis, P.G. (eds.) ICDT 1997. LNCS, vol. 1186, pp. 247–261. Springer, Heidelberg (1996)
Fuhr, N., Großjohann, K.: XIRQL: A query language for information retrieval in XML documents. In: Research and Development in Information Retrieval, pp. 172–180 (2001)
Fuhr, N., Lalmas, M.: Initiative for the evaluation of XML retrieval (INEX) (2003), http://inex.is.informatik.uni-duisburg.de:2003/
Guo, L., Shao, F., Botev, C., Shanmugasundaram, J.: XRANK: Ranked keyword search over XML documents. In: Proc. of the 2003 ACM SIGMOD Int. Conf. on Management of Data, pp. 16–27. ACM Press, New York (2003)
Ide, E.: New experiments in relevance feedback. In: Salton, G. (ed.) The Smart Retrieval System: Experiments in Automatic Document Processing, pp. 337–354. Prentice-Hall, Englewood Cliffs (1971)
Lamping, J., Rao, R.: Laying out and visualizing large trees using a hyperbolic space. In: ACM Symposium on User Interface Software and Technology, pp. 13–14 (1994)
Ortega-Binderberger, M., Chakrabarti, K., Mehrotra, S.: An approach to integrating query refinement in SQL. In: Jensen, C.S., Jeffery, K., Pokorný, J., Šaltenis, S., Bertino, E., Böhm, K., Jarke, M. (eds.) EDBT 2002. LNCS, vol. 2287, pp. 15–33. Springer, Heidelberg (2002)
Rocchio, J.: Relevance feedback in information retrieval. In: Salton, G. (ed.) The Smart Retrieval System: Experiments in Automatic Document Processing, pp. 313–323. Prentice-Hall, Englewood Cliffs (1971)
Schenkel, R., Theobald, A., Weikum, G.: Ontology-enabled XML search. In: Blanken, H.M., Grabs, T., Schek, H.-J., Schenkel, R., Weikum, G. (eds.) Intelligent Search on XML Data. LNCS, vol. 2818, pp. 119–131. Springer, Heidelberg (2003)
Theobald, A., Weikum, G.: The index-based XXL search engine for querying XML data with relevance ranking. In: Jensen, C.S., Jeffery, K., Pokorný, J., Šaltenis, S., Bertino, E., Böhm, K., Jarke, M. (eds.) EDBT 2002. LNCS, vol. 2287, pp. 477–495. Springer, Heidelberg (2002)
Theobald, M., Schenkel, R., Weikum, G.: Exploiting structure, annotation, and ontological knowledge for automatic classification of XML data. In: Christophides, V., Freire, J. (eds.) WebDB: International Workshop on Web and Databases, San Diego (2003)
Zhou, X.S., Huang, T.S.: Exploring the nature and variants of relevance feedback. In: Proc. of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL 2001), pp. 94–101. IEEE CS Press, Los Alamitos (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pan, H. (2004). Relevance Feedback in XML Retrieval. In: Lindner, W., Mesiti, M., Türker, C., Tzitzikas, Y., Vakali, A.I. (eds) Current Trends in Database Technology - EDBT 2004 Workshops. EDBT 2004. Lecture Notes in Computer Science, vol 3268. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30192-9_18
Download citation
DOI: https://doi.org/10.1007/978-3-540-30192-9_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23305-3
Online ISBN: 978-3-540-30192-9
eBook Packages: Computer ScienceComputer Science (R0)