What is that, MOM SSC is after?

MOM SSC is after to get out a basic MOM peer, that can determine hidden content from a given MOM graph and recognize the presence of items by varying and not predictable patterns of features of these items being given, e.g. signalled by sensors.

All of that on a strictly reviewable way, maybe even a laymen compatible one. It's avoiding every kind of black boxes such as self-organized neuronal networks especially when featuring loops.

      
Updates: 20070606.10-02h CEST: changed the last sentence to make more clear what I meant.

closely related work of MOM/FAVA

On an online search approach to get nailed down how terminologies, taxonomies, classification, thesauri (etc) related to each other, I noticed the work of the post-doctoral researcher Yannis Tzitzikas of the University of Namur (F.U.N.D.P.), Belgium. His research on faceted taxonomies, especially the application of them to peer to peer networks, looks very close to my MOM/FAVA research.

      
Updates: none so far