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Europeana: Market study on technical options for semantic feature extraction
20/08/2012
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This market study comprises an overview of available tools that can perform semantic extraction. In this way it continues and complements work from Europeana v1.0 and EuropeanaConnect. The requirement was to investigate effective and efficient tools for the extraction of concepts and named entities from digital text, audio and video resources.
What is semantic extraction?
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.
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.
Categorías:
Etiquetas:
Licencia:
- 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?
- Búsquedas facetadas