Yves Raimond

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In this paper, we describe current efforts towards interlinking music-related datasets on the Web. We first explain some initial interlinking experiences, and the poor results obtained by taking a näıve approach. We then detail a particular interlinking algorithm, taking into account both the similarities of web resources and of their neighbours. We detail(More)
In this paper, we describe how the BBC is working to integrate data and linking documents across BBC domains by using Semantic Web technology, in particular Linked Data, MusicBrainz and DBpedia. We cover the work of BBC Programmes and BBC Music building Linked Data sites for all music and programmes related brands, and we describe existing projects, ongoing(More)
Statistical data is present everywhere—from governmental bodies to economics, from life-science to industry. With the rise of the Web of Data, the need for sharing, accessing, and using this data has entered a new stage. In order to enable proprietary, closed-world formats, to enter the Web of Data, we propose a framework for modelling and publishing(More)
In this paper, we introduce interlinking multimedia (iM), a pragmatic way to apply the linked data principles to fragments of multimedia items. We report on use cases showing the need for retrieving and describing multimedia fragments. We then introduce the principles for interlinking multimedia in the Web of Data, discussing potential solutions which(More)
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(More)
In this paper we describe our experience with building the riese dataset, an interlinked, RDF-based version of the Eurostat data, containing statistical data about the European Union. The riese dataset (http://riese.joanneum.at), aims at serving roughly 3 billion RDF triples, along with millions of high-quality interlinks. Our contribution is twofold:(More)
This paper introduces various ways to suggest music-related content on the Web thanks to Semantic Web technologies. Rather than focusing on features of musical signals or running statistical analysis over listening habits, we detail how social networking, user contributions, and other interlinked data published within the scope of the Linking Open Data(More)