Name
Abstract | ||
|---|---|---|
Since Digital Humanities researchers and developers are regularly creating somehow industrial applications concerning international business, it is time for those communities to be aware and make the most of legacy constraints and opportunities.For instance, let us consider the Computer Music state of the art, and particularly the Music Information Retrieval community and the wonderful algorithms it produces around authorship attribution and style recognition: even if some music style or authorship is finally attributed to some persons, this attribution may not result from a set of computable data somewhere reportable, the information being typically learned (in the sense of Machine Learning, more or less supervised) from dislocated data throughout the big data or the global database, and disseminated in the global programming system. Is this legal?In Europe and worldwide, Privacy by Design (PbD) is the actual response to protect the fundamental right to data protection and to guarantee the free movement of personal data between business stakeholders or Member States. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-28868-0_5 | ARTIFICIAL INTELLIGENCE FOR KNOWLEDGE MANAGEMENT, AI4KM 2014 |
Keywords | DocType | Volume |
Digital humanities, Computer music, Music information retrieval, Machine learning, Knowledge management, Right management, Privacy by design, Big data, Authorship attribution, Style recognition | Conference | 469 |
ISSN | Citations | PageRank |
1868-4238 | 0 | 0.34 |
References | Authors | |
16 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francis Rousseaux | 1 | 18 | 16.78 |
| Pierre Saurel | 2 | 1 | 0.72 |