Knowledge-Driven Video Information Retrieval with LOD: From Semi-Structured to Structured Video Metadata

@article{Sikos2015KnowledgeDrivenVI,
  title={Knowledge-Driven Video Information Retrieval with LOD: From Semi-Structured to Structured Video Metadata},
  author={Leslie F. Sikos and David M. W. Powers},
  journal={Proceedings of the Eighth Workshop on Exploiting Semantic Annotations in Information Retrieval},
  year={2015}
}
  • L. Sikos, D. Powers
  • Published 22 October 2015
  • Computer Science
  • Proceedings of the Eighth Workshop on Exploiting Semantic Annotations in Information Retrieval
In parallel with the tremendously increasing number of video contents on the Web, many technical specifications and standards have been introduced to store technical details and describe the content of, and add subtitles to, online videos. Some of these specifications are based on unstructured data with limited machine-processability, data reuse, and interoperability, while others are XML-based, representing semi-structured data. While low-level video features can be derived automatically, high… 

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