Automatic Indexing of Bibliographic Metadata: The AgroTagger Usecase

The objective of this webinar is to provide an introduction to the functionalities of applications for automatic indexing, and specifically of AgroTagger. After explaining the need and advantages of automatically created metadata, AgroTagger is presented as a keyword extractor that is working with the agricultural thesaurus AGROVOC to enhance AGRIS resources. Furthermore the webinar will show the current and future developments of AgroTagger, including a project of crawling the web to extract resources in the agricultural domain.

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Authors: Fabrizio Celli

Publication year: 2014

Language: English (EN)

Level of knowledge: Introductory: aware of

Usage rights: Attribution - CC-BY

Topics

Data Collection

Text And Data Mining

Audience

Researchers and Students

Text and Data miners

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Creative Commons badge Unless otherwise stated, all materials created by the FOSTER consortium are licensed under a CREATIVE COMMONS ATTRIBUTION 4.0 INTERNATIONAL LICENSE.

This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 612425.
This project has also received funding from the European Union's Horizon2020 programme for research, technological development and demonstration under agreement no 741839.