Abstract
Handling the heterogeneity of structure and/or content of XML documents for the retrieval of information is a fertile field of research nowadays. Many efforts are currently devoted to identifying approximate answers to queries that require relaxation on conditions both on the structure and the content of XML documents [1,2,4,5]. Results are ranked relying on score functions that measure their quality and relevance and only the top-k returned.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Amer-Yahia, S., Cho, S., Srivastava, D.: Tree Pattern Relaxation. In: Jensen, C.S., Jeffery, K., Pokorný, J., Šaltenis, S., Bertino, E., Böhm, K., Jarke, M. (eds.) EDBT 2002. LNCS, vol. 2287, pp. 496–513. Springer, Heidelberg (2002)
Amer-Yahia, S., Koudas, N., Marian, A., Srivastava, D., Toman, D.: Structure and Content Scoring for XML. In: VLDB, pp. 361–372 (2005)
Guerrini, G., Mesiti, M., Sanz, I.: An Overview of Similarity Measures for Clustering XML Documents. In: Vakali, A., Pallis, G. (eds.) Web Data Management Practices: Emerging Techniques and Technologies, Idea Group, USA
Marian, A., Amer-Yahia, S., Koudas, N., Srivastava, D.: Adaptive Processing of Top-k Queries in XML. In: ICDE, pp. 162–173 (2005)
Nierman, A., Jagadish, H.V.: Evaluating Structural Similarity in XML Documents. In: WebDB, pp. 61–66 (2002)
Sanz, I., Mesiti, M., Guerrini, G., Llavori, R.B.: Approximate Subtree Identification in Heterogeneous XML Documents Collections. In: Bressan, S., Ceri, S., Hunt, E., Ives, Z.G., Bellahsène, Z., Rys, M., Unland, R. (eds.) XSym 2005. LNCS, vol. 3671, pp. 192–206. Springer, Heidelberg (2005)
Sanz, I., Mesiti, M., Guerrini, G., Berlanga Llavori, R.: Approximate Retrieval of Highly Heterogeneous XML Documents. Tech. report. University of Milano (2005)
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sanz, I., Mesiti, M., Guerrini, G., Llavori, R.B. (2006). ArHeX: An Approximate Retrieval System for Highly Heterogeneous XML Document Collections. In: Ioannidis, Y., et al. Advances in Database Technology - EDBT 2006. EDBT 2006. Lecture Notes in Computer Science, vol 3896. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11687238_88
Download citation
DOI: https://doi.org/10.1007/11687238_88
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-32960-2
Online ISBN: 978-3-540-32961-9
eBook Packages: Computer ScienceComputer Science (R0)