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Relational Concept Analysis (RCA) and Graph-FCA (GCA) are two extensions of Formal Concept Analysis (FCA) to multi-relational data. Whereas similar when restricted to some specific inputs and parameters, RCA and GCA processes are different and can be applied to a variety of multi-relational data. Analysts should thus be guided to choose between the two methods, their parameters, and the data model, according to the queries to solve. In this paper, we focus on the processing of n-ary relationships, how they can be modeled, and the impact of the chosen model and the chosen method on query answering.

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Relational Concept Analysis and Graph-FCA in Practice: Analyzing Multi-relational Data

  • 会议论文

  • 发表日期：

    2025年

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  • Vanessa Fokou,
  • Peggy Cellier,
  • Xavier Dolques,
  • Sébastien Ferré,
  • Florence Le Ber

摘要

Relational Concept Analysis (RCA) and Graph-FCA (GCA) are two extensions of Formal Concept Analysis (FCA) to multi-relational data. Whereas similar when restricted to some specific inputs and parameters, RCA and GCA processes are different and can be applied to a variety of multi-relational data. Analysts should thus be guided to choose between the two methods, their parameters, and the data model, according to the queries to solve. In this paper, we focus on the processing of n-ary relationships, how they can be modeled, and the impact of the chosen model and the chosen method on query answering.