Web 2.0 OLAP: From Data Cubes to Tag Clouds

Abstract

Abstract. 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.

QoS Cube: Management and Navigating Web Services through Multi-dimensional Model

“…[11] used multi-dimensional model to manage Web services by creating an ontology-based multidimensional model, so as to locate the desired Web services quickly; [12] proposed topic cube to enable OLAP on the dimension of text data in a multi-dimensional text database; [13] proposed IX-Cube to computation and OLAP query over XML data; [14] proposed context cube which provided a context-aware applications supporting a multi-dimensional model of context data. In addition, [15,16,17] were also the works applied multidimensional model to different domains.…”

A Novel Multidimensional Model for the OLAP on Documents: Modeling, Generation and Implementation

“…• Tag cloud In the context of Web 2.0 and OLAP applications, [1] was particularly interested in tag clouds. The principle of a tag cloud provides a visual representation of keywords on a Web site.…”

“…Applied to OLAP, this principle can use a tag cloud to represent a cube where each keyword is a cell and where keyword size depends on the measured value of the fact (cell).This new cube representation makes it possible to use specific tag cloud operations such as sorting keywords according to their size and removing keywords with small sizes. To assist the user in his exploration of the cube, [1] built classes of similar keywords and rearranged the attributes of the dimensions.…”

Innovative Approaches for Efficiently Warehousing Complex Data from the Web

“…The most recent proposals are especially interested in the OLAP analysis of social networks, interactions, or the Web 2.0 (Sifer, 2005;Aouiche et al, 2009). For example, Sifer (2005) propose to explore Web logs using a specific representation rather than data cubes.…”

“…OLAP operations are based on coordinated dimension views and correspond to selection operations. Aouiche et al (2009) give more attention at analyzing tag-clouds. Such data are becoming usual in so-called Social Web applications.…”