The LitOLAP Project: Data Warehousing with Literature

Abstract

The litOLAP project seeks to apply the Business Intelligence techniques of Data Warehousing and OLAP to the domain of text processing (specifically, computer-aided literary studies). A literary data warehouse is similar to a conventional corpus, but its data is stored and organized in multidimensional cubes, in order to promote efficient end-user queries. An initial implementation exists for litOLAP, and emphasis has been placed on cube-storage methods and caching intermediate results for reuse. Work continues on improving the query engine, the ETL process, and the user interfaces.

Keywords

OLAP, Literary Studies, Data Warehousing

Reference

Owen Kaser, Daniel Lemire, Steven Keith, The LitOLAP Project: Data Warehousing with Literature, CaSTA 2006, Fredericton, 2006.

Download

• The LitOLAP Project: Data Warehousing with Literature (pdf)

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Software

• See the Lemur OLAP project.

BibTeX

@inproceedings{KaserKeithLemire2006,
   author    = {Owen Kaser and Steven Keith and Daniel Lemire},
   title     = {The LitOLAP Project: Data Warehousing with Literature},
   booktitle = {CaSTA'06},
   year      = {2006},
   url = {http://www.daniel-lemire.com/fr/documents/publications/casta06_web.pdf}
}

Authors

• Owen Kaser
• Steven Keith
• Daniel Lemire: lemire at acm.org

Related work

• Daniel Lemire's publications