Introduction
Recently, XML keyword search has attracted much attention and has become a popular paradigm for information retrieval over XML data. Because of its convenience, users don’t need to know a complex query language or the underlying data schema. However, due to the inherent ambiguity, a keyword query usually corresponds to a large number of results that may be classified into different types, or different search intentions, among which only a few meet users’ search intentions.
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References
Bao, Z., Ling, T.W., Chen, B., Lu, J.: Effective XML keyword search with relevance oriented ranking. In: ICDE, pp. 517–528 (2009)
Li, J., Liu, C., Zhou, R., Wang, W.: Suggestion of promising result types for XML keyword search. In: EDBT, pp. 561–572 (2010)
Li, J., Wang, J.: Effectively inferring the search-for node type in XML keyword search. In: Kitagawa, H., Ishikawa, Y., Li, Q., Watanabe, C. (eds.) DASFAA 2010, Part I. LNCS, vol. 5981, pp. 110–124. Springer, Heidelberg (2010)
Xu, Y., Papakonstantinou, Y.: Efficient LCA based keyword search in XML data. In: EDBT, pp. 535–546 (2008)
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He, T., Wu, G., Chen, Q., Zhou, J., Chen, Z. (2013). Effectively Return Query Results for Keyword Search on XML Data. In: Wang, J., **ong, H., Ishikawa, Y., Xu, J., Zhou, J. (eds) Web-Age Information Management. WAIM 2013. Lecture Notes in Computer Science, vol 7923. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38562-9_84
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