README.md

conexp-to-python

The Concept Explorer (conexp) is tool for calculating and exploring FCA lattice. This library is simple tool for extracting formal context and concepts from .cex file, which is created by conexp.

Example output

Output for sample2.cex from sample-data directory:

{
    'context': {
        'objects': ['Obj 1', 'Obj 2', 'Obj 3'],
        'attributes': ['Attr 1', 'Attr 2', 'Attr 3'],
        'table': [
            [True, False, False],
            [False, True, False],
            [False, True, True]
            ]},
    'concepts': [
            [True, False, False],
            [False, True, True],
            [False, True, False],
            [True, True, True],
            [False, False, False]
            ]
}

What is Formal Concept Analysis?

Formal concept analysis (FCA) is a principled way of deriving a concept hierarchy or formal ontology from a collection of objects and their properties. Each concept in the hierarchy represents the objects sharing some set of properties; and each sub-concept in the hierarchy represents a subset of the objects (as well as a superset of the properties) in the concepts above it. The term was introduced by Rudolf Wille in 1980, and builds on the mathematical theory of lattices and ordered sets that was developed by Garrett Birkhoff and others in the 1930s.

https://en.wikipedia.org/wiki/Formal_concept_analysis

Links

• Basic info about FCA: https://phoenix.inf.upol.cz/esf/ucebni/formal.pdf
• Conexp: http://conexp.sourceforge.net

Dependencies

conexp-to-python requires:

• Python (>= 3.4)
• xmltodict

Created 2018 by Tomáš Mikula