Web 2.0 OLAP: From Data Cubes to Tag Clouds

Details Web 2.0 OLAP: From Data Cubes to Tag Clouds Web 2.0 OLAP: From Data Cubes to Tag Clouds

2009-05-16

arxiv.org/abs/0905.2657v1

Kamel Aouiche, Daniel Lemire and Robert Godin, Web 2.0 OLAP: From Data Cubes to Tag Clouds, Lecture Notes in Business Informat

Computer Science

Databases

Scientific paper

10.1007/978-3-642-01344-7_5

Increasingly, business projects are ephemeral. New Business Intelligence tools must support ad-lib data sources and quick perusal. Meanwhile, tag clouds are a popular community-driven visualization technique. Hence, we investigate tag-cloud views with support for OLAP operations such as roll-ups, slices, dices, clustering, and drill-downs. As a case study, we implemented an application where users can upload data and immediately navigate through its ad hoc dimensions. To support social networking, views can be easily shared and embedded in other Web sites. Algorithmically, our tag-cloud views are approximate range top-k queries over spontaneous data cubes. We present experimental evidence that iceberg cuboids provide adequate online approximations. We benchmark several browser-oblivious tag-cloud layout optimizations.

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