SemWebVid is an online Ajax application that allows for the automatic generation of
Resource Description Framework (RDF) video descriptions. These descriptions are
based on two pillars: first, on a combination of user-generated metadata such as
title, summary, and tags; and second, on closed captions which can be
user-generated, or be auto-generated via speech recognition. The plaintext contents
of both pillars are being analyzed using multiple Natural Language Processing (NLP)
Web services in parallel whose results are then merged and where possible matched
back to concepts in the sense of Linking Open Data (LOD). The final result is a
deep-linkable RDF description of the video, and a “scroll-along” view of the video
as an example of video visualization formats.