In talks and papers, I've mentioned our work at VivoMind on analogical
reasoning with conceptual graphs. However, we haven't released the
software for more widespread use.
But there is some freebie software called Divisi, which does a kind
of associative retrieval that could be used with conceptual graphs:
http://divisi.media.mit.edu/Following is an excerpt from their web site.
Divisi doesn't support the full graph indexing of the VivoMind
algorithms, but it could be useful for many applications.
John Sowa
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Divisi is a library for reasoning by analogy and association over
semantic networks, including common sense knowledge.
Divisi uses a sparse higher-order SVD can help find related concepts,
features, and relation types in any knowledge base that can be
represented as a semantic network. By including common sense knowledge
from ConceptNet, the results can include relationships not expressed in
the original data but related by common sense.
It is a library written in Python, using a C library (SVDLIBC) to
perform the sparse SVD operation using the Lanczos algorithm. Other
mathematical computations are performed by NumPy.
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