A number of existing approaches attempt to reduce ambiguity of user's keyword queries by translating them to structured database queries. This disambiguation process relies on a proper assessment of whether a structured query represents the intent behind the keyword query. In this paper we systematically analyze a number of intuitive statistical measures that can potentially be used in this disambiguation process. We evaluate the impact of these measures through experiments on real-world data. © 2010 Springer-Verlag.
CITATION STYLE
Demidova, E., Zhou, X., Oelze, I., & Nejdl, W. (2010). Evaluating evidences for keyword query disambiguation in entity centric database search. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6262 LNCS, pp. 240–247). https://doi.org/10.1007/978-3-642-15251-1_19
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