Adjusting the Exploration Flow in Relational Concept Analysis

Ouzerdine, Amirouche; Braud, Agnès; Dolques, Xavier; Huchard, Marianne; Ber, Florence Le

doi:10.1007/978-3-030-90287-2_9

Cited by 4 publications

(2 citation statements)

References 37 publications

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“…To improve the readability of the relational attributes, which is a drawback of RCA, the simplification proposed by [33,34] can be applied: a concept identifier in a relational attribute can be replaced by the intent of the concept at its creation time (possibly recursively). Other authors proposed to deliver the extracted knowledge, not in terms of concepts and relational attributes, but as sentences [29] or as logical formulas in source code macros [18].…”

Section: The Design Pattern Separate/gather Viewsmentioning

confidence: 99%

Relational Concept Analysis in Practice: Capitalizing on Data Modeling Using Design Patterns

Braud

Dolques

Huchard

et al. 2023

Formal Concept Analysis

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Many applications of Formal Concept Analysis (FCA) and its diverse extensions have been carried out in recent years. Among these extensions, Relational Concept Analysis (RCA) is one approach for addressing knowledge discovery in multi-relational datasets. Applying RCA requires stating a question of interest and encoding the dataset into the input RCA data model, i.e. an Entity-Relationship model with only Boolean attributes in the entity description and unidirectional binary relationships. From the various concrete RCA applications, recurring encoding patterns can be observed, that we aim to capitalize taking software engineering design patterns as a source of inspiration. This capitalization work intends to rationalize and facilitate encoding in future RCA applications. In this paper, we describe an approach for defining such design patterns, and we present two design patterns: "Separate/Gather Views" and "Level Relations".

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Section: The Design Pattern Separate/gather Viewsmentioning

confidence: 99%

Relational Concept Analysis in Practice: Capitalizing on Data Modeling Using Design Patterns

Braud

Dolques

Huchard

et al. 2023

Formal Concept Analysis

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“…Relational concept analysis can be used for instance for analysing the ecological and sanitary quality of watercourses (Ouzerdine, Braud, Dolques, Huchard, & Le Ber, 2019). For that purpose it connects contexts corresponding to such water courses to data collection points which themselves are connected to measures and to organisms collected in water that can be described by further attributes.…”

Section: Introductionmentioning

confidence: 99%

Fixed-Point Semantics for Barebone Relational Concept Analysis

Euzenat

2021

Formal Concept Analysis

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Relational concept analysis (RCA) extends formal concept analysis (FCA) by taking into account binary relations between formal contexts. It has been designed for inducing description logic TBoxes from ABoxes, but can be used more generally. It is especially useful when there exist circular dependencies between objects. In this case, it extracts a unique stable concept lattice family grounded on the initial formal contexts. However, other stable families may exist whose structure depends on the same relational context. These may be useful in applications that need to extract a richer structure than the minimal grounded one. This issue is first illustrated in a reduced version of RCA, which only retains the relational structure. We then redefine the semantics of RCA on this reduced version in terms of concept lattice families closed by a fixed-point operation induced by this relational structure. We show that these families admit a least and greatest fixed point and that the well-grounded RCA semantics is characterised by the least fixed point. We then study the structure of other fixed points and characterise the interesting lattices as the self-supported fixed points.

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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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Adjusting the Exploration Flow in Relational Concept Analysis

Cited by 4 publications

References 37 publications

Relational Concept Analysis in Practice: Capitalizing on Data Modeling Using Design Patterns

Relational Concept Analysis in Practice: Capitalizing on Data Modeling Using Design Patterns

Fixed-Point Semantics for Barebone Relational Concept Analysis

Dealing with Large Volumes of Complex Relational Data Using RCA

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