Abstract
The structural heterogeneity and complexity of XML repositories makes query formulation challenging for users who have little knowledge of XML. To assist its users, an XML retrieval system can have a keyword-based interface, relegating the task of combining textual and structural clues to the retrieval algorithm. In this work, we propose an automatic query refinement method to transform a keyword query into structured XML queries that capture the original information need and conform to the underlying XML data. We formulate query generation as a search problem, and show the effectiveness of the method in generating accurate content-and-structure queries.
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Petkova, D., Croft, W.B., Diao, Y. (2009). Refining Keyword Queries for XML Retrieval by Combining Content and Structure. In: Boughanem, M., Berrut, C., Mothe, J., Soule-Dupuy, C. (eds) Advances in Information Retrieval. ECIR 2009. Lecture Notes in Computer Science, vol 5478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00958-7_63
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DOI: https://doi.org/10.1007/978-3-642-00958-7_63
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