Name
Abstract | ||
|---|---|---|
Considering relational tables as the object of analysis, methods to summarize them can help the analyst to have a starting point to explore the data. Typically, table summarization aims at producing an informative data summary through the use of metadata supplied by attribute taxonomies. Nevertheless, such a hierarchical knowledge is not always available or may even be inadequate when existing. To overcome these limitations, we propose a new framework, named cTabSum, to automatically generate attribute value taxonomies and directly perform table summarization based on its own content. Our innovative approach considers a relational table as input and proceeds in a two-step way. First, a taxonomy for each attribute is extracted. Second, a new table summarization algorithm exploits the automatic generated taxonomies. An information theory measure is used to guide the summarization process. Associated with the new algorithm we also develop a prototype. Interestingly, our prototype incorporates some additional features to help the user familiarizing with the data: i the resulting summarized table produced by cTabSum can be used as recommended starting point to browse the data; ii some very easy-to-understand charts allow to visualize how taxonomies have been so built; iii finally, standard OLAP operators, i.e. drill-down and roll-up, have been implemented to easily navigate within the data set. In addition we also supply an objective evaluation of our table summarization strategy over real data. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-40131-2_11 | DaWaK |
Field | DocType | Citations |
Information theory,Automatic summarization,Multi-document summarization,Data mining,Metadata,Information retrieval,Computer science,Exploit,Operator (computer programming),Online analytical processing,Database | Conference | 0 |
PageRank | References | Authors |
0.34 | 11 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dino Ienco | 1 | 295 | 42.01 |
| Yoann Pitarch | 2 | 82 | 17.52 |
| Pascal Poncelet | 3 | 768 | 126.47 |
| Maguelonne Teisseire | 4 | 557 | 129.00 |