scholarly journals The Structure of Oppositions in Rough Set Theory and Formal Concept Analysis - Toward a New Bridge between the Two Settings

2014 ◽  
pp. 154-173 ◽  
Author(s):  
Davide Ciucci ◽  
Didier Dubois ◽  
Henri Prade
Keyword(s):  
Set Theory ◽  
Rough Set ◽  
Formal Concept Analysis ◽  
Rough Set Theory ◽  
Concept Analysis ◽  
Formal Concept

Semantic Search Exploiting Formal Concept Analysis, Rough Sets, and Wikipedia

2020 ◽  
pp. 1436-1458
Author(s):  
Yuncheng Jiang ◽  
Mingxuan Yang
Keyword(s):  
Set Theory ◽  
Rough Set ◽  
Formal Concept Analysis ◽  
Web Search ◽  
Rough Set Theory ◽  
Concept Analysis ◽  
Semantic Search ◽  
Formal Concept ◽  
Importance Ranking ◽  
Keyword Searches

This article describes how the traditional web search is essentially based on a combination of textual keyword searches with an importance ranking of the documents depending on the link structure of the web. However, one of the dimensions that has not been captured to its full extent is that of semantics. Currently, combining search and semantics gives birth to the idea of the semantic search. The purpose of this article is to present some new methods to semantic search to solve some shortcomings of existing approaches. Concretely, the authors propose two novel methods to semantic search by combining formal concept analysis, rough set theory, and similarity reasoning. In particular, the authors use Wikipedia to compute the similarity of concepts (i.e., keywords). The experimental results show that the authors' proposals perform better than some of the most representative similarity search methods and sustain the intuitions with respect to human judgements.

Attribute Reduction in Rough Set Theory and Formal Concept Analysis

2017 ◽  
pp. 513-525 ◽  
Author(s):  
María José Benítez-Caballero ◽  
Jesús Medina ◽  
Eloísa Ramírez-Poussa
Keyword(s):  
Set Theory ◽  
Rough Set ◽  
Formal Concept Analysis ◽  
Rough Set Theory ◽  
Attribute Reduction ◽  
Concept Analysis ◽  
Formal Concept
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