We're working on the problem too. The key is to have the machine understand context in the same way humans do, which means building a model of human conceptualization in the computer. We're putting a simple version of our conceptual hierarchy system in our StreamFocus product.

Once we launch StreamFocus and have the system streamlined, we'll get back to that HARD problem. We're pretty close to a solution though, and it involves making a new conceptual language as a subset of lisp. Pattern matching never works, you have to have the actual conceptual hierarchical structure as well as the links between concepts, etc. (We've been working on the underlying epistemology and programming for this since 1998.) We plan to launch a product that creates a conceptual index on top of a standard database, creating effectively a database with conceptual retrieval. The system is multi-lingual as we model the concepts in the same way humans do, independent of the language used to express the concepts.