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On Linked Data and

Posted on November 17th, 2010 by Rob DiCiuccio

One of the primary goals of has been to bring the concepts of the Semantic Web to video. When we began conceptualizing the ViewChange platform, the use of Linked Data and participation in the Linking Open Data (LOD) cloud were core requirements, as we wanted to provide both semantic meaning and the potential for deep exploration. Being a video-centric site, this presented a unique set of challenges.

The Web of text

HTML, XML, RDF, JavaScript, CSS. The foundation of the Web is text-based. While online video is becoming increasingly popular, and now accounts for a large percentage of Internet traffic, video is still somewhat a second-class citizen on the Web. This is beginning to change, as new open video standards emerge, but as it stands, we have to transcribe the video in order to process its content. Once we have text transcriptions of the videos, we are able to operate on a level playing field. Video transcripts are analyzed using Entity Extraction tools, and topics (disambiguated Named Entities) extracted from the raw text. The resulting topics are linked to online databases such as Freebase and DBpedia, which provide the connection to the LOD cloud.

Metadata & accessibility exposes semantic metadata in a number of ways. RDFa markup is used throughout the site to identify resources and the relationships between them. Popular ontologies, such as Dublin Core, FOAF, and Facebook’s Open Graph protocol, are used to provide standard, interoperable metadata, and enhanced accessibility. Topic and video pages also provide RDF/XML representations, for efficient machine processing.
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