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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 multime-dia in the Web of Data, discussing potential solutions which(More)
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 na¨ıve approach. We then detail a particular interlinking algorithm, taking into account both the similarities of web resources and of their neighbours. We(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 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)
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)
In this paper we describe our experience with building the riese dataset, an interlinked, RDF-based version of the Eu-rostat 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)
In this paper we present our current experience of aggregat-ing user data from various Social Web applications and outline several key challenges in this area. The work is based on a concrete use case: reusing activity streams to determine a viewer's interests and generating television programme recommendations from these interests. Three system components(More)