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Europeana: Market study on technical options for semantic feature extraction
20/08/2012
Semantic extraction refers to extracting the meaning of a document, preferably in a (semi-)automated way. Part of semantic extraction are the following processes: recognizing and extracting named entities and keywords, analyzing the sentiment of a document, extracting facts and relation between those facts and named entities, categorizing documents, recognizing and extracting concepts and finally adding them as metadata or annotations.
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- Se respeta la licencia original del recurso.
- Web 3.0 (vídeo en español)
- Web Semántica (vídeo en inglés)
- Introducing Linked Data And The Semantic Web
- Linked Open Data: The Essentials book
- Industrialized Linked Data
- Cómo reutilizar Open Linked Data
- Semantic Web Standards Wiki
- RDF Pro: Complete Semantic Web Tools Suite
- Could data save newspapers?
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