Knowledge Representation with Semantic Web Standards
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A large share of digital contents is human-readable only, thus not suitable for automated processing and inefficient when searching for related information. Traditional web datasets can be considered as isolated data silos that are not linked to each other. This limitation can be addressed by organizing and publishing data using powerful formats that add structure and meaning to the content of web pages and interlink related data, which enables task automation. To improve the automated processability of multimedia content, formal knowledge representation standards are required, which can be used not only in the annotation of multimedia resources with machine-readable data, but also in complex statements about the depicted concepts and their relationships.
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