@inproceedings{34c6d1b1981e40a9a8ed3f6eb3a153ec,
title = "Evaluating evidences for keyword query disambiguation in entity centric database search",
abstract = "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.",
keywords = "entity search, keyword query disambiguation, statistical analysis",
author = "Elena Demidova and Xuan Zhou and Irina Oelze and Wolfgang Nejdl",
year = "2010",
doi = "10.1007/978-3-642-15251-1\_19",
language = "英语",
isbn = "3642152503",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 2",
pages = "240--247",
booktitle = "Database and Expert Systems Applications - 21st International Conference, DEXA 2010, Proceedings",
address = "德国",
edition = "PART 2",
}