V O R T R A G ********************** Oesterreichisches Forschungsinstitut fuer Artificial Intelligence(OFAI) der OSGK Freyung 6/6/7, A-1010 Wien Tel: +43-1-5336112-17, Fax: +43-1-5336112-77, Email: firstname.lastname@example.org Dr. Aggelos Gkiokas Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain TOWARDS RICHER ONLINE MUSIC PUBLIC-DOMAIN ARCHIVES This talk will present the basic aspects of the TROMPA Project (Towards Richer Online Music Public-domain Archives), a recently funded EU project for enriching public domain classical music archives. Classical music is one of the greatest treasures of Europeâs cultural heritage, which is continually (re)interpreted and revitalised through musical performance. Today, most of the classical repertoire is in the public domain; massive numbers of scores and recordings are now available in online community-contributed repositories actively used by scholars and musicians. Technology offers ways to enrich and contextualise this repertoire, so that users might better understand and appreciate it. However, due to varying data quality and scale, this does not happen automatically for public-domain resources. Amidst a deluge of data, relevant associations across repositories and modalities (e.g. from scores to recordings) still have to be made manually, while insights by previous users are not explicitly stored for future users to learn from. It is thus impossible to get comprehensive insight into the full wealth of our musical cultural heritage. TROMPA will change this by massively enriching and democratising our publicly available musical heritage through a user-centred co-creation setup. For analysing and linking music data at scale, the project will employ and improve state- f-the-art technology. Music-loving citizens (including the large scene of amateur performers) will cooperate with the technology, giving feedback on algorithmic results, and annotating the data according to their personal expertise. Following an open innovation philosophy, all knowledge derived will be released back to the community in reusable ways. This enables many uses in applications which directly benefit crowd contributors and further audiences. ********* Time: Monday, 3rd of December 2018, 10:00 a.m. sharp Location: Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, OFAI Freyung 6, Stiege 6, 1010 Wien OESTERREICHISCHES FORSCHUNGSINSTITUT FUER ARTIFICIAL INTELLIGENCE Univ.-Prof. Ing. Dr. Robert Trappl ********* Sollten Sie in Zukunft keine weiteren Vortragsankuendigungen wuenschen, senden Sie bitte ein Mail mit dem Betreff "REMOVE" an: email@example.com.