TopCells: Keyword-based search of top-k aggregated documents in text cube

@article{Ding2010TopCellsKS,
  title={TopCells: Keyword-based search of top-k aggregated documents in text cube},
  author={B. Ding and Bo Zhao and C. Lin and Jiawei Han and ChengXiang Zhai},
  journal={2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)},
  year={2010},
  pages={381-384}
}
  • B. Ding, Bo Zhao, +2 authors ChengXiang Zhai
  • Published 2010
  • Computer Science
  • 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)
  • 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… CONTINUE READING
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