| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10355063 | Information Processing & Management | 2016 | 24 Pages |
Abstract
The affective categorization model and the emotion detection output are encoded into W3C ontology languages. This gives us the twofold advantage to enable tractable reasoning on detected emotions and related artworks, and to foster the interoperability and integration of tools developed in the Semantic Web and Linked Data community. The proposal has been evaluated against a real-word case study, a dataset of tagged multimedia artworks from the ArsMeteo Italian online collection, and validated through a user study.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Federico Bertola, Viviana Patti,