Media meets Semantic Web - How the BBC uses DBpedia and Linked Data to make Connections
Georgi Kobilarov / Tom Scott / Yves Raimond / Silver Oliver / Chris Sizemore / Michael Smethurst / Chris Bizer / Robert Lee /
SCOVO: Using Statistics on the Web of Data
ESWC 2009 In-Use Track
Michael Hausenblas / Wolgang Halb / Yves Raimond / Lee Feigenbaum / Danny Ayers /
Using the Web as our Content Management System on the BBC Music Beta
WWW 2009 Developers Track
Patrick Sinclair / Nicholas Hunfrey / Yves Raimond / Tom Scott / Michael Smethurst /
A Web of Musical Information
Proceedings of the International Conference on Music Information Retrieval 2008
Yves Raimond / Mark Sandler /
We describe our recent achievements in interlinking several music-related data sources on the Semantic Web. In particular, we describe interlinked datasets dealing with Creative Commons content, editorial, encyclopedic, geographic and statistical data, along with queries they can answer and tools using their data. We describe our web services, providing an on-demand access to content-based features linked with such data sources and information pertaining to their creation (including processing steps, applied algorithms, inputs, parameters or associated developers). We also provide a tool allowing such music analysis services to be set up and scripted in a simple way.
The Programmes Ontology
Proceedings of the XTECH conference, 2008
Yves Raimond / Patrick Sinclair / Nicholas Humfrey / Tom Scott /
BBC Programmes is a new project which aims to ensure that every programme brand, series and episode broadcast by the BBC has a permanent, findable web presence. We have developed the Programmes Ontology to expose this data following the Linked Data approach, enabling the interchange of programme information on the Semantic Web.
Automatic Interlinking of Music Datasets on the Semantic Web
To appear in: Linking Data on The Web, colocated with the World Wide Web conference, 2008
Yves Raimond / Christopher Sutton / Mark Sandler /
In this paper, we describe current efforts towards interlink- ing music-related datasets on the Web. We first explain some initial interlinking experiences, and the poor results obtained by taking a naive approach. We then detail a par- ticular interlinking algorithm, taking into account both the similarities of web resources and of their neighbours. We detail the application of this algorithm in two contexts: to link a Creative Commons music dataset to an editorial one, and to link a personal music collection to corresponding web identifiers. The latter provides a user with personally mean- ingful entry points for exploring the web of data, and we conclude by describing some concrete tools built to generate and use such links.
Building Linked Data For Both Humans and Machines - How To Get Statistical Data About 500 Million Europeans onto the Semantic Web
Proceedings of Linking Data on The Web, co-located with the World Wide Web conference, 2008
Wolfgang Halb / Yves Raimond / Michael Hausenblas /
Scripting User Contributed Interlinking
Proceedings of the Scripting for the Semantic Web workshop, co-located with the European Semantic Web Conference
Michael Hausenblas / Wolfgang Halb / Yves Raimond /
ZemPod: A Semantic-Web Approach to Podcasting
To appear in: Journal of Web Semantics
Oscar Celma / Yves Raimond /
The Music Ontology
Proceedings of the International Conference on Music Information Retrieval, 2007
Yves Raimond / Samer Abdallah / Mark Sandler / Frederick Giasson /
In this paper, we overview some Semantic Web technologies allowing to create a web of data. We then detail the Music Ontology: a formal framework for dealing with music-related information on the Semantic Web, including editorial, cultural and acoustic information. We de- tail how this ontology can act as a grounding for more domain-specific knowledge representation. In addition, we describe current projects involving the Music Ontology and interlinked repositories of music-related knowledge.
Publishing and Accessing Digital Archives using the EASAIER Framework
Proceedings of the First International Workshop on Cultural Heritage on the Semantic Web, co-located with the International Semantic Web Conference, Busan, Korea
Francois Scharffe / Yves Raimond / Luc Barthelemy / Ying Ding / Michael Luger /
Cultural archives have been massively digitalized in the past twenty years. Many multimedia databases are now available, many locally, more and more on-line. The emergence of the web, and its evolution towards the semantic web opens a new phase for the publication of digital archives. The data and assets they contain can be made available in a structured way, providing more precise, as well as wider querying possibilities. In this paper, we present a lightweight architecture for easily publishing and managing digital archives, based on semantic web technologies. This architecture is successfully being used within the EASAIER (Enabling Access to Sound Archives through Integration, En- richment and Retrieval) European project. We also detail how the Royal Scottish Academy of Music and Drama HOTBED archive was successfully published using such a system.
EASAIER: Semantic Music Retrieval Portal
Proceedings of the International Semantic Web Conference, 2007, Demo track
Michael Luger / Ying Ding / Zhixian Yan / Francois Scharffe / Yubin Duan / Yves Raimond / Luc Barthelemy / Josh Reiss /
A distributed data space for music-related information
Proceedings of the International Workshop on the Many Faces of Multimedia Semantics
Yves Raimond / Chris Sutton / Mark Sandler /
In this paper, we describe how some key Semantic Web technologies can be used to gather in a single distributed knowledge environment several music-related sources of informa- tion, from digital archives to feature extractors or personal music collections. Such knowledge can then be used for a wide range of purposes, such as aggregation and information retrieval, visualisation and enriched access, or crossrepository interlinking. We also describe on-going efforts aiming at bootstrapping such a data-space, as well as preliminary results.
Using the Semantic Web for Enhanced Audio Experiences
Proceedings of the 123rd Audio Engineering Society convention
Yves Raimond / Mark Sandler /
In this paper, we give a quick overview of some key Semantic Web technologies which allow us to overcome the limitations of the current web of documents to create a machine-processable web of data, where information is accessible by automated means. We then detail a framework for dealing with audio-related information on the Semantic Web: the Music Ontology. We describe some examples of how this ontology has been used to link together heterogeneous data sets, dealing with editorial, cultural or acoustic data. Finally, we explain a methodology to embed such knowledge into audio applications (from digital jukeboxes and digital archives to audio editors and sequencers), along with concrete examples and implementations.
Interlinking Open Data on the Web
Demonstrations Track, 4th European Semantic Web Conference (ESWC 2007), Innsbruck, Austria
Chris Bizer / Tom Heath / Danny Ayers / Yves Raimond /
An ontology-based approach to information management for music analysis systems
Proceedings of the 120th AES convention, 2006
Samer Abdallah / Yves Raimond / Mark Sandler /
We describe an information management system which addresses the needs of music analysis projects, pro- viding a logic-based knowledge representation scheme for the many types of object in the domains of music and signal processing, including musical works and scores, performance events, human agents, signals, anal- ysis functions, and analysis results. The system is implemented using logic-programming and semantic web technologies, and provides a shareable resource for use in a laboratory environment. The whole is driven from a Prolog command line, where the use of Matlab as a computational engine enables experiments to be designed and run with the results being automatically stored and indexed into the information structure. We present as a case-study an experiment in automatic music segmentation.
A scalable framework for multimedia knowledge management
Book chapter, Semantic Multimedia, Springer, 2006 (Proceedings of the 1st conference on Semantic and Digital Media Technologies)
Yves Raimond / Samer Abdallah / Mark Sandler / Mounia Lalmas /
In this paper, we describe a knowledge management frame- work that addresses the needs of multimedia analysis projects and provides a basis for information retrieval systems. The framework uses Semantic Web technologies to provide a shared knowledge environment, and active Knowledge Machines, wrapping multimedia processing tools, to exploit and/or export knowledge to this environment. This framework is able to handle a wide range of use cases, from an enhanced workspace for researchers to end-user information access. As an illustration of how the proposed framework can be used, we present a case study of music analysis.
Proposal for a common multimedia ontology framework: Information management for music analysis systems
Proposal for a Common Multimedia Ontology Framework, AceMedia
Samer Abdallah / Yves Raimond /
In this proposal, we discuss requirements for and potential applications of a music information management system that represents in a richly structured way not only the media objects themselves and associated metadata, but also the computational systems by which new features and representations of given media objects can be derived.
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