ANDREWS, Simon and POLOVINA, Simon (2011). A mapping from conceptual graphs to formal concept analysis. In: ANDREWS, Simon, POLOVINA, Simon, HILL, Richard and AKHGAR, Babak, (eds.) Conceptual Structures for Discovering Knowledge (The 19th International Conference on Conceptual Structures, ICCS 2011, Derby, UK. Lecture Notes in Computer Science (Subseries: Lecture Notes in Artificial Intelligence), (6828). Berlin and Heidelberg, Springer, 63-76. [Book Section]
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iccs2011-cgtofca-paper.pdf - Accepted Version
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iccs2011-cgtofca-paper.pdf - Accepted Version
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Abstract
A straightforward mapping from Conceptual Graphs (CGs)
to Formal Concept Analysis (FCA) is presented. It is shown that the
benefits of FCA can be added to those of CGs, in, for example, formally
reasoning about a system design. In the mapping, a formal attribute
in FCA is formed by combining a CG source concept with its relation.
The corresponding formal object in FCA is the corresponding CG target concept. It is described how a CG, represented by triples of the
form source-concept, relation, target-concept, can be transformed into
a set of binary relations of the form (target-concept, source-concept a
relation) creating a formal context in FCA. An algorithm for the transformation is presented and for which there is a software implementation.
The approach is compared to that of Wille. An example is given of a
simple University Transaction Model (TM) scenario that demonstrates
how FCA can be applied to CGs, combining the power of each in an
integrated and intuitive way.
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