In information science, formal concept analysis 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 set of objects sharing the same values for a certain set of properties; and each sub-concept in the hierarchy contains a subset of the objects in the concepts above it. The term was introduced by Rudolf Wille in 1984, and builds on applied lattice and order theory that was developed by Birkhoff and others in the 1930s.
Formal concept analysis finds practical application in fields including data mining, text mining, machine learning, knowledge management, semantic web, software development, and biology.
Read more about Formal Concept Analysis: Overview and History, Motivation and Philosophical Background
Famous quotes containing the words formal, concept and/or analysis:
“Then the justice,
In fair round belly with good capon lined,
With eyes severe and beard of formal cut,
Full of wise saws and modern instances;
And so he plays his part.”
—William Shakespeare (1564–1616)
“The heritage of the American Revolution is forgotten, and the American government, for better and for worse, has entered into the heritage of Europe as though it were its patrimony—unaware, alas, of the fact that Europe’s declining power was preceded and accompanied by political bankruptcy, the bankruptcy of the nation-state and its concept of sovereignty.”
—Hannah Arendt (1906–1975)
“Ask anyone committed to Marxist analysis how many angels on the head of a pin, and you will be asked in return to never mind the angels, tell me who controls the production of pins.”
—Joan Didion (b. 1934)