- From: Kurt J <kurtjx@gmail.com>
- Date: Mon, 25 Jan 2010 10:18:41 +0000
- To: Linking Open Data <public-lod@w3.org>
Hello, Although it is perhaps a bit off topic, I am submitting this CfP to this mailing list in hopes of encouraging some submissions applying Linked Data to music informatics. Cheers, Kurt J --------------- Call for Papers --------------- ++++++++++++++++++++++++++++++++++++++++++++++++++++ ++ AdMIRe 2010: 2nd International Workshop on ++ ++ Advances in Music Information Research ++ ++++++++++++++++++++++++++++++++++++++++++++++++++++ http://www.cp.jku.at/conferences/AdMIRe2010/ In Conjunction with the IEEE International Conference on Multimedia and Expo (ICME) Singapore, July 19-23, 2010 Provisional Date of the Workshop: July 23, 2010 The "International Workshop on Advances in Music Information Research" (AdMIRe) serves as a forum for theoretical and practical discussions of cutting edge research in the fields of Web mining for music information extraction, retrieval, and recommendation as well as in mobile applications and services. Research on multimodal extraction, retrieval, and presentation with a focus on the music and audio domain is especially welcome. So are submissions addressing concrete implementations of systems and services by both academic institutions and industrial companies. Workshop papers will be official publications of IEEE, which will be included in IEEE Xplore and also be printed as part of the conference proceedings. Moreover, extended versions of particularly outstanding papers will be considered for publication in a Special Issue of a major journal relevant to the field. Motivation: ----------- Music information retrieval (MIR) as a subfield of multimedia information retrieval has been a fast growing field of research during the past decade. In traditional MIR research, music-related information were extracted from the audio signal using signal processing techniques. These methods, however, cannot capture semantic information that is not encoded in the audio signal, but nonetheless essential to many consumers, e.g., the meaning of the lyrics of a song or the political motivation or background of a singer. In recent years, the emergence of various Web 2.0 platforms and services dedicated to the music and audio domain, like last.fm, MusicBrainz, or Discogs, has provided novel and powerful, albeit noisy, sources for high level, semantic information on music artists, albums, songs, and others. The abundance of such information provided by the power of the crowd can therefore contribute to MIR research and development considerably. On the other hand, the wealth of newly available, semantically meaningful information offered on Web 2.0 platforms also poses new challenges, e.g., dealing with the huge amount and the noisiness of this kind of data, various user biases, hacking, or the cold start problem. Another recent trend, not at last addressable to platforms like Apple's iPhone or Google's Android, are intelligent user interfaces to access the large amounts of music usually available on today's mobile music players and the corresponding services. Mobile devices that offer high speed Web access allow for even more music to be consumed via Web services. Dealing with these vast amounts of music requires intelligent services on mobile devices that provide, for example, personalized and context-aware music recommendations. The current emergence and confluence of these challenges make this an interesting field for researchers and industry practitioners alike. Topics of Interest: ------------------- + Music Information Systems + Multimodal User Interfaces + Context-aware Music Applications + User Modeling and Personalization + Social Networks and Collaborative Tagging in the Music and Audio Domain + Web Mining and Information Extraction in the Music Domain + Combination of Web-based and Signal-based Information Extraction Methods + Mining and Analysis of Music Video Clips + Mining and Analysis of Music-Related Images / Artwork + Music Recommendation + Semantic Web, Linking Open Data and Open Web Services for the Music and Audio Domain + Ontologies, Semantics and Reasoning in the Music and Audio Domain + Similarity Measurement + Evaluation, Mining of Ground Truth and Data Collections + Music Information Retrieval, Services, and Applications for Mobile Devices + Music Indexing and Retrieval Techniques + Exploration and Discovery in Large Music Collections + Multimodal Semantic Content Analysis Program Chairs: --------------- Markus Schedl Dept. of Computational Perception, JKU Linz, Austria Ňscar Celma Barcelona Music and Audio Technologies, Spain Peter Knees Dept. of Computational Perception, JKU Linz, Austria Program Committee: ------------------ Luke Barrington University of California, San Diego, CA, USA Stephan Baumann German Research Center for AI Gijs Geleijnse Philips Research Labs, Eindhoven, the Netherlands Masataka Goto AIST, Tsukuba, Japan Fabien Gouyon INESC, Porto, Portugal Kurt Jacobson Department of Electronic Engineering, Queen Mary University, London, UK Noam Koenigstein Faculty of Engineering, Tel Aviv University, Israel Paul Lamere the echonest, Somerville, MA, USA Tim Pohle Dept. of Computational Perception, JKU Linz, Austria Yves Raimond BBC Audio & Music Interactive, London, UK Andreas Rauber Vienna University of Technology, Austria Dominik Schnitzer OFAI, Vienna, Austria Douglas Turnbull Dept. of Computer Science, Swarthmore College, USA Gerhard Widmer Dept. of Computational Perception, JKU Linz, Austria Geraint Wiggins Dept. of Computing, Goldsmiths' College, London, UK Important Dates: ---------------- Full Paper Submission March 5, 2010 Notification of Results March 30, 2010 Camera Ready Submission April 15, 2010 ++++++++++++++++++++++++++++++++++++++++++++++++++ ++ http://www.cp.jku.at/conferences/AdMIRe2010/ ++ ++++++++++++++++++++++++++++++++++++++++++++++++++
Received on Monday, 25 January 2010 10:19:14 UTC