@inproceedings{e001257949e44a2b9798b22be15e90b3,
title = "TopCells: Keyword-based search of top-k aggregated documents in text cube",
abstract = "Previous studies on supporting keyword queries in RDBMSs provide users with a ranked list of relevant linked structures ( e.g. joined tuples) or individual tuples. In this paper, we aim to support keyword search in a data cube with text-rich dimension(s) (so-called text cube). Each document is associated with structural dimensions. A cell in the text cube aggregates a set of documents with matching dimension values on a subset of dimensions. Given a keyword query, our goal is to find the top-k most relevant cells in the text cube. We propose a relevance scoring model and efficient ranking algorithms. Experiments are conducted to verify their efficiency.",
author = "Bolin Ding and Bo Zhao and Lin, {Cindy Xide} and Jiawei Han and Chengxiang Zhai",
year = "2010",
month = jun,
day = "1",
doi = "10.1109/ICDE.2010.5447838",
language = "English (US)",
isbn = "9781424454440",
series = "Proceedings - International Conference on Data Engineering",
pages = "381--384",
booktitle = "26th IEEE International Conference on Data Engineering, ICDE 2010 - Conference Proceedings",
note = "26th IEEE International Conference on Data Engineering, ICDE 2010 ; Conference date: 01-03-2010 Through 06-03-2010",
}