Program: Automated Library and Information Systems
Enabling technology for knowledge sharing
AI Magazine
The String-to-String Correction Problem
Journal of the ACM (JACM)
A compressed domain beat detector using MP3 audio bitstreams
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Creating Semantic Web Contents with Protégé-2000
IEEE Intelligent Systems
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Performance in Practice of String Hashing Functions
Proceedings of the Fifth International Conference on Database Systems for Advanced Applications (DASFAA)
Automating the Construction of Authority Files in Digital Libraries: A Case Study
Automating the Construction of Authority Files in Digital Libraries: A Case Study
A music search engine built upon audio-based and web-based similarity measures
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Searching for Music Using Natural Language Queries and Relevance Feedback
Adaptive Multimedial Retrieval: Retrieval, User, and Semantics
A document-centered approach to a natural language music search engine
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Semantic annotation of digital music
Journal of Computer and System Sciences
Evaluation of the music ontology framework
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
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In this paper we will present a MIR (Music Information Retrieval) system using natural language as input for human-oriented queries to large-scale music collections. The outlined system is a full-fledged architecture combining state-of-the-art approaches from the fields of natural language and the automatic analysis of audio data. Our approach copes with meta tag construction, content-based classification of audio and uses music ontologies as a backbone for the representation of musical knowledge. On top of this architecture different prototypes for industrial applications are described including first results of real-life field tests. This work has been performed at the German Research Center for AI and the authors spin-off company, the sonicson GmbH.