Named Entity Recognition

A subtask of information extraction that seeks to locate and classify named entities in text into pre-defined categories such as the names of persons, organizations, locations, expressions of times, quantities. [Wikipedia]

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Intended audience Industry and Business, Policy makers and Funders, Project Managers, Publishers, Researchers and Students, Text and Data miners
Level: Introductory: no previous knowledge is required

The objective of this tutorial is to showcase how the use case application on Agriculture, and more specifically Viticulture, can be utilized by researchers of this domain on a specific topic by using the components and the workflows that are available at the OpenMinTed Platform.

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Intended audience Industry and Business, Policy makers and Funders, Project Managers, Publishers, Researchers and Students, Text and Data miners
Level: Introductory: no previous knowledge is required

The objective of this tutorial is to showcase how the use case application around the Food Safety thematic area, and more specifically around Food Safety and Water Health, can be utilized by researchers of this domain on a specific topic by using the components and the workflows that are available at the OpenMinTed Platform.

By  Martin Kaltenböck (Semantic Web Company), Timea Turdean (Semantic Web Company)
By  Piotr Przybyła, Matthew Shardlow, Sophie Aubin, Robert Bossy, Richard Eckart de Castilho, Stelios Piperidis, John McNaught, Sophia Ananiadou