The LitOLAP Project: Data Warehousing with Literature

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.