2018
DOI: 10.17323/2500-2597.2018.1.69.78
|View full text |Cite
|
Sign up to set email alerts
|

Mapping the Research Landscape of Agricultural Sciences

Abstract: A research landscape is a high-level description of the current state of a certain scientific field and its dynamics. High-quality research landscapes are an important tools that allow for more effective research management. This paper presents a novel framework for the mapping of research. It relies on full-text mining and topic modeling to pool data from many sources without relying on any specific taxonomy of scientific fields and areas. The framework is especially useful for scientific fields that are poor… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0
1

Year Published

2019
2019
2024
2024

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 8 publications
(4 citation statements)
references
References 10 publications
0
3
0
1
Order By: Relevance
“…Therefore, a document representing an assignment in a neurology course could be associated with these two topics in speciic proportions. Topic modelling is a very well established approach for the analysis of document corpora and has found copious application in domains as diverse as healthcare [3,40,51], inance [6,33], agriculture [10], social media [2,33], news [48] and many others.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Therefore, a document representing an assignment in a neurology course could be associated with these two topics in speciic proportions. Topic modelling is a very well established approach for the analysis of document corpora and has found copious application in domains as diverse as healthcare [3,40,51], inance [6,33], agriculture [10], social media [2,33], news [48] and many others.…”
Section: Introductionmentioning
confidence: 99%
“…All the details of this manipulation can be retrieved from [13], Appendix B. (10) with arguments y, s, and s, respectively.…”
mentioning
confidence: 99%
“…Un autre volet porte sur l'extraction d'informations à partir de données expérimentales du domaine agricole : c'est une approche plus technique puisqu'elle aborde des questions d'ingénierie de la connaissance, le but est de pouvoir les intégrer dans des systèmes d'aide à la décision. Dans (Devyatkin et al 2018) sont présentés les secteurs les plus touchés par la recherche (une étude sur les résumés d'articles publiés entre 2008 et 2015, où le plus gros des thèmes examinés porte sur la sélection de semences). Tout cela repose sur le génie des connaissances et des systèmes (KSE 1 ), sur le traitement du langage naturel (NLP 2 ) ainsi que sur des approches d'exploration de données guidées par des ressources ontologiques et terminologiques.…”
Section: Contribution Of Machine-learning and Text Mining To The Construction Of Farmers' Information Systems Introductionunclassified
“…This is particularly true for Engineering Design (ED) (Bailey, 2009), that finds contributions from many different scientific fields (Engineering, Psychology and Economics to name a few) and that has been subject to an unprecedented growth in the last 15 years. To solve this problem in other scientific fields researchers (Trivelli et al, 2019;Devyatkin et al, 2018) uses a well-known Text Mining (TM) Methods: Topic Modelling (Rehurek and Sojka, 2010). Topic models are useful to rationalize large collections of documents by clustering them with an unsupervised approach.…”
Section: Introductionmentioning
confidence: 99%