Effects of Input Data Formalisation in Relational Concept Analysis for a Data Model with a Ternary Relation

Keip, Priscilla; Gutierrez, Alain; Huchard, Marianne; Ber, Florence Le; Sarter, Samira; Silvie, Pierre; Martin, Pierre

doi:10.1007/978-3-030-21462-3_13

Cited by 9 publications

(9 citation statements)

References 16 publications

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“…Although developed for KB, they are general and apply to similar datasets and research questions. Solutions for applying FCA/RCA in data models including ternary relationships have been proposed [ 142 ]. They consider several encodings of ternary relationships, including solutions using binary relationships.…”

Section: Discussionmentioning

confidence: 99%

“…FCA and RCA have been applied to KB excerpts at different stages in its building process. In [ 142 ], the uses of six plants selected by experts for their recognized qualities against Aspergillus were analyzed to answer the question: ‘Knowing the recognized benefits of Hyptis suaveolens in the protection of Arachis hypogaea against Aspergillus parasiticus , which other plants could alternatively be used?’. The RCA-based classification and plant grouping readily revealed that Ocimum gratissimum could replace Hyptis suaveolens to protect Arachis hypogaea against Aspergillus ochraceus and Aspergillus flavus .…”

Section: Discussionmentioning

confidence: 99%

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Prototyping a Knowledge-Based System to Identify Botanical Extracts for Plant Health in Sub-Saharan Africa

Silvie

Martin

Huchard

et al. 2021

Plants

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Replacing synthetic pesticides and antimicrobials with plant-based extracts is a current alternative adopted by traditional and family farmers and many organic farming pioneers. A range of natural extracts are already being marketed for agricultural use, but many other plants are prepared and used empirically. A further range of plant species that could be effective in protecting different crops against pests and diseases in Africa could be culled from the large volume of knowledge available in the scientific literature. To meet this challenge, data on plant uses have been compiled in a knowledge base and a software prototype was developed to navigate this trove of information. The present paper introduces this so-called Knomana Knowledge-Based System, while providing outputs related to Spodoptera frugiperda and Tuta absoluta, two invasive insect species in Africa. In early October 2020, the knowledge base hosted data obtained from 342 documents. From these articles, 11,816 uses—experimental or applied by farmers—were identified in the plant health field. In total, 384 crop pest species are currently reported in the knowledge base, in addition to 1547 botanical species used for crop protection. Future prospects for applying this interdisciplinary output to applications under the One Health approach are presented.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Prototyping a Knowledge-Based System to Identify Botanical Extracts for Plant Health in Sub-Saharan Africa

Silvie

Martin

Huchard

et al. 2021

Plants

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“…This requires deciding how data are separated in formal and relational contexts, and how to represent n-ary relations, e.g. ternary relations, a topic we studied in [10]. Life sciences data raise other issues, such as indeterminate species [9].…”

Section: Related Workmentioning

confidence: 99%

Combining Implications and Conceptual Analysis to Learn from a Pesticidal Plant Knowledge Base

Mahrach

Gutierrez

Huchard

et al. 2021

Lecture Notes in Computer Science

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Supporting organic farming aims to find alternative solutions to synthetic pesticides and antibiotics, using local plants, to protect crops. Moreover, in the One Health approach (OHA), a pesticidal plant should not be harmful to humans, meaning it cannot be toxic if the crop is consumed or should have a limited and conscious use if it is used for medical care. Knowledge on plant use presented in the scientific literature was compiled in a knowledge base (KB). The challenge is to develop a KB exploration method that informs experts (including farmers) about protection systems properties that respect OHA. In this paper, we present a method that extracts the Duquenne-Guigues basis of implications from knowledge structured using Relational Concept Analysis (RCA). We evaluate the impact of three data representations on the implications and their readability. The experimentation is conducted on 562 plant species used to protect 15 crops against 29 pest species of the Noctuidae family. Results show that consistently splitting data into several tables fosters less redundant and more focused implications.

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“…As said before, these two datasets have already been studied [15,29,38]. In this paper, we propose a synthesis of observations made during these earlier studies, with enhanced datasets, taking into account more information or applied to the whole initial data rather than to an excerpt.…”

Section: Introductionmentioning

confidence: 99%

“…for the fuzzy semantic annotation of web resources [13], or for the analysis and reengineering of software models [14] and semantic wikis [47]. In previous works, we have applied RCA for exploring hydroecological [15,38] and agricultural data [29], the two domains considered in the following.…”

Section: Introductionmentioning

confidence: 99%

Dealing with Large Volumes of Complex Relational Data Using RCA

Braud¹,

Gutierrez²,

Huchard³

et al. 2021

Complex Data Analytics With Formal Concept Analysis

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Effects of Input Data Formalisation in Relational Concept Analysis for a Data Model with a Ternary Relation

Abstract: 0000−0001−6542−3360] , Alain Gutierrez, Marianne Huchard 2[0000−0002−6309−7503] , Florence Le Ber 3[0000−0002−2415−7606] , Samira Sarter 5[0000−0001−5115−0824] , Pierre Silvie 1,4[0000−0002−3406−6230] , and Pierre Martin 1[0000−0002−4874−5795]

Cited by 9 publications

References 16 publications

Prototyping a Knowledge-Based System to Identify Botanical Extracts for Plant Health in Sub-Saharan Africa

Prototyping a Knowledge-Based System to Identify Botanical Extracts for Plant Health in Sub-Saharan Africa

Combining Implications and Conceptual Analysis to Learn from a Pesticidal Plant Knowledge Base

Dealing with Large Volumes of Complex Relational Data Using RCA

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