Name
Title | ||
|---|---|---|
A knowledge based system for content-based retrieval of Scalable Vector Graphics documents |
Abstract | ||
|---|---|---|
Scalable Vector Graphics (SVG), the novel XML based language for describing two-dimensional graphics, is now a W3C standard and it is likely to become popular on the Internet, due to its inherent advantages over raster image formats in several domains. We present a system for semantic based retrieval by content of SVG. The system is endowed of a web crawler for documents search and a graphical interface for query by sketch. The approach adopted in the system implements a simple description logic devised for the semantic indexing and retrieval of complex objects. Its syntax allows to describe basic shapes and complex objects as compositions of basic ones, and transformations. Its extensional semantics, which is compositional, allows to define retrieval, classification, and subsumption services. An experimental evaluation is also presented, which shows results obtained in terms of precision and recall, but also points out that there are still few SVG documents available on the Web. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1145/967900.968113 | SAC |
Keywords | DocType | ISBN |
experimental evaluation,graphical interface,svg document,scalable vector graphics document,w3c standard,semantic indexing,content-based retrieval,extensional semantics,scalable vector graphics,complex object,documents search,basic shape,knowledge based system,support vector machines,web crawler,image formation,collaborative filtering,description logic | Conference | 1-58113-812-1 |
Citations | PageRank | References |
1 | 0.37 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eugenio Di Sciascio | 1 | 1733 | 147.71 |
| Francesco M. Donini | 2 | 3481 | 452.47 |
| Marina Mongiello | 3 | 1053 | 76.54 |