Sammanfattning

The main objective of the project LEAP4FNSSA (Long-term EU-AU Research and Innovation Partnership for Food and Nutrition Security and Sustainable Agriculture) is to provide a tool for European and African institutions to engage in a sustainable partnership platform for research and innovation on Food and Nutrition Security, and Sustainable Agriculture (FNSSA). The FNSSA roadmap facilitates the involvement of stakeholders for addressing and linking research to innovation dealing with food security issues. In this context, the LEAP4FNSSA project supports the driving of the roadmap. Research and innovation activities were captured in different data, i.e. LEAP4FNSSA database and heterogeneous textual data including project reports, websites, scientific publications, workshop reports and student theses. The Knowledge Extractor Pipeline System (KEOPS) was implemented to support the processing and analysis of textual data associated with FNSSA activities. KEOPS is based on the LEAP4FNSSA lexicon presented in this data paper. The LEAP4FNSSA lexicon composed of 331 keywords associated with 12 concepts of the food security domain is the result of 3 steps of work and brainstorming. The lexicon enables the capturing of research and innovation topics dealing with food security and conducted by African and European partners. This data paper presents the obtained lexicon and a summary of the method to build it. (c) 2022 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)

Nyckelord

Food security; Semantic resources; Agrovoc; Text Mining

Publicerad i

Data in Brief
2022, Volym: 45, artikelnummer: 108680

SLU författare

• Lindsten, Agneta

  • SLU-biblioteket, Sveriges lantbruksuniversitet
    

• Lundén, Tomas

  • SLU-biblioteket, Sveriges lantbruksuniversitet
    

Globala målen

SDG2 Avskaffa hunger, uppnå tryggad livsmedelsförsörjning och förbättrad nutrition samt främja ett hållbart jordbruk


UKÄ forskningsämne

Systemvetenskap
Språkteknologi (språkvetenskaplig databehandling)


Publikationens identifierare

DOI: https://doi.org/10.1016/j.dib.2022.108680

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/119472