Integrating Keyword Search with Multiple Dimension Tree Views over a Summary Corpus Data Cube
Summary: Integrates OLAP with a keyword search over a sparse, ragged corpus, enabling OLAP queries on results via dynamically selected point sets. Demonstrates interactive multi-dimensional views over a summary corpus data cube to partition slices and narrow results by keyword and distribution. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Mark Sifer (University of Wollongong)
- 2. Jian Lin (University of Wollongong)
- 3. Yutaka Watanobe (University of Aizu)
- 4. Subhash Bhalla (University of Aizu)
BibTeX Citation
@inproceedings{sifer_sigmod10,
title = {{Integrating Keyword Search with Multiple Dimension Tree Views over a Summary Corpus Data Cube}},
author = {Sifer, Mark and Lin, Jian and Watanobe, Yutaka and Bhalla, Subhash},
series = {{SIGMOD} '10},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1807167.1807309},
url = {https://dl.acm.org/doi/10.1145/1807167.1807309},
year = {2010}
}
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