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Actual versus new Knowledge Management paradigm is depicted in the figure above. Established Human Knowledge K hosted in the Web space (black region) interacts with million of pieces of People Human Knowledge K’ connected to the Cyber space (green region). Actual interaction proceeds broadcasting from K to K’. K’ appears as chaotic meanwhile K appears as structured even though "flat" in only one level. People are only enabled to query K. Data and Intelligence only flows from K to K’. Under a new paradigm that uses Internet at its full capacity a win-win matchmaking scenario could be expected optimizing the overall Human Knowledge. Throughout an e-membrane (yellow) Expert Systems aided by Agents may map K Realm first. Once K is mapped K’ becomes a matter of understanding as seen from K side and Agents may proceed to map it. Once both sides are structured and well known, intelligence, understanding and even wisdom may flow from K to K’ and conversely from K’ to K.
We have created a methodology to manage the HK, Human Knowledge. We distinguish two types of HK, the "Established" HK, normally structured, and the People’s HK that looks like unstructured, chaotic, and dispersed. The methodology deals with these two realms trying to unveil, detect, and classify its main features. The core of the methodology is an Expert System aided by Agents that work with these two realms throughout an e-membrane that as a living membrane facilitates the open and free communication between them trying to create win-win scenarios without perturbing the actors. The Expert System works based on a set of common sense "Conjectures" that are now in process of being scientifically tested by the AI-Lab of the CAECE University from Argentina. We state that it is possible to "retrieve" content and intelligence automatically from data reservoirs. As an example, given the Web we may automatically generate its "hidden" Thesaurus solving in this way the basic human searching problem. As long as people communicate openly and freely through an e-membrane their suspected behavior patterns could also be unveiled, detected, and classified. The conjectures set deals with a basic Conjecture: the triad Logical Tree, Thesaurus, and Cognitive Objects unequivocally identifies any type of Knowledge.
Our finding could be a milestone that points to social communications: on one side juridical and physical persons that sale, teaches, communicates, and people that buy, attend, communicate, and that continuously issue opinions about everything conceivable, on the other side. We have created a first prototype that hosts a HK map on the "establishment" side and that has an e-membrane with full capability to enable the Expert System that administer the prototype to learn as much as possible from users and at the same time detects, and classify every suspected users’ behavior pattern. The HK map evolves by itself. The Thesaurus is automatically generated from the Web by agents (in fact we got it for a prototype focused on ICT, Information, Computing and Telecommunications, see it at www.intag.org). The methodology could also be applied to retrieve the intelligence of huge historical data reservoirs.
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