A Survey of Hybrid Representations of Concept Lattices in Conceptual Knowledge Processing

Eklund, Peter; Villerd, Jean

doi:10.1007/978-3-642-11928-6_21

Cited by 15 publications

(9 citation statements)

References 25 publications

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“…Even more so if we take into account the size of the contexts analyzed. There are many different available algorithms to visualize a concept lattice, each with its advantages and disadvantages (Eklund & Villerd, 2010). Since the use of K-FCA requires the visualization of a sequence of concept lattices as a function of ϕ or φ, in González-Calabozo et al…”

Section: Use Case: the Analysis Of Overexpression And Underexpressionmentioning

confidence: 99%

Supporting scientific knowledge discovery with extended, generalized Formal Concept Analysis

Valverde-Albacete

González-Calabozo

Peñas

et al. 2016

Expert Systems with Applications

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a b s t r a c tIn this paper we fuse together the Landscapes of Knowledge of Wille's and Exploratory Data Analysis by leveraging Formal Concept Analysis (FCA) to support data-induced scientific enquiry and discovery.We use extended FCA first by allowing K-valued entries in the incidence to accommodate other, non-binary types of data, and second with different modes of creating formal concepts to accommodate diverse conceptualizing phenomena.With these extensions we demonstrate the versatility of the Landscapes of Knowledge metaphor to help in creating new scientific and engineering knowledge by providing several successful use cases of our techniques that support scientific hypothesis-making and discovery in a range of domains: semiring theory, perceptual studies, natural language semantics, and gene expression data analysis.While doing so, we also capture the affordances that justify the use of FCA and its extensions in scientific discovery.

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Section: Use Case: the Analysis Of Overexpression And Underexpressionmentioning

confidence: 99%

Supporting scientific knowledge discovery with extended, generalized Formal Concept Analysis

Valverde-Albacete

González-Calabozo

Peñas

et al. 2016

Expert Systems with Applications

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“…The most common and formally fruitful approach for object-attribute data visualization is based on Galois lattices 19,12 which are visualized through layered graphs called Hasse diagrams; an example is given in Figure 1. Each node is identified by a subset of objects and a subset of attributes; edges link nodes according to a partial order relation.…”

Section: Related Work and Motivationmentioning

confidence: 99%

Visualizing and Interacting with Concept Hierarchies

Plantié

Crampes

2015

Int. J. Artif. Intell. Tools

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Concept Hierarchies and Formal Concept Analysis (FCA) are theoretically well grounded. They rely on line diagrams called Galois lattices for visualizing and analysing object-attribute sets. Galois lattices are visually seducing and conceptually rich for experts. However they present important drawbacks due to their concept oriented overall structure: analysing what they show is difficult for non experts, navigation is cumbersome, interaction is poor, and scalability is a deep bottleneck for visual interpretation even for experts. In this paper we introduce semantic probes as a means to overcome many of these problems and extend usability and application possibilities of traditional FCA visualization methods. Semantic probes are visual user centred objects which extract and organize reduced Galois sub-hierarchies. They are simpler, clearer, and they provide a better navigation support through a rich set of interaction possibilities. Since probe driven sub-hierarchies are limited to users' focus, scalability is under control and interpretation is facilitated. After some successful experiments, several applications are being developed with the remaining problem of finding a compromise between simplicity and conceptual expressivity.

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“…FCA is a well‐known method for data analysis and knowledge representation. Eklund et al [EV10] have done a comprehensive study of different types of concept lattices in FCAs. Within them, representation of many‐valued contexts [MDNST08] would be the most relevant layout to our work.…”

Section: Related Workmentioning

confidence: 99%

Papilio: Visualizing Android Application Permissions

Loorak

Fong

Carpendale

2014

Computer Graphics Forum

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We introduce Papilio, a new visualization technique for visualizing permissions of real-world Android applications. We explore the development of layouts that exploit the directed acyclic nature of Android application permission data to develop a new explicit layout technique that incorporates aspects of set membership, node-link diagrams and matrix layouts. By grouping applications based on sets of requested permissions, a structure can be formed with partially ordered relations. The Papilio layout shows sets of applications centrally, the relations among applications on one side and application permissions, as the reason behind the existence of the partial order, on the other side. Using Papilio to explore a set of Android applications as a case study has led to new security findings regarding permission usage by Android applications.

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A Survey of Hybrid Representations of Concept Lattices in Conceptual Knowledge Processing

Cited by 15 publications

References 25 publications

Supporting scientific knowledge discovery with extended, generalized Formal Concept Analysis

Supporting scientific knowledge discovery with extended, generalized Formal Concept Analysis

Visualizing and Interacting with Concept Hierarchies

Papilio: Visualizing Android Application Permissions

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