Key Terms in this Chapter
Clause Cube: A clause cube is a three-dimensional data structure that integrates related linguistic data from various language modules.
Data Warehousing: Data warehousing is the collection, cleaning and reformatting of large amounts of existing data into complex, multi-dimensional data structures, in order to facilitate data mining and exploration (finding patterns and trends hidden within the data). In a data warehouse of linguistic data (e.g. a clause cube) the analyses of various language modules are consolidated in one data structure in order to facilitate the exploration of patterns in and across the interrelated levels.
Data Cube: A data cube is a multi-dimensional data structure that integrates related data.
Rotation: Rotation refers to the presentation of various sides or views of a data cube. With reference to a clause cube it refers to the data shown on the “external” sides of the data structure.
OLAP: On-line analytical processing refers to interactive computer processing to analyse data that has been stored in a database or data warehouse to reveal different and multi-dimensional views (Connolly & Begg, 2005, p. 1205). With reference to a clause cube it pertains to the advanced processing and comparison of linguistic data collected from various language modules.
Dicing: Dicing may be used as a synonym for rotation, but with reference to a clause cube it refers to the extraction of detailed data “hidden” within the cube.
Slicing: Slicing refers to the extraction of a subset of data stored in a three-dimensional data cube. With reference to a clause cube a slice may refer, for example, to one clause’s multi-modular analysis represented as a two-dimensional table.