This is a social constructive process, best conducted in a community of practice where there is trust and reciprocity. In my books knowledge creation is more about making links, altering mindsets, changing beliefs and sharing useful patterns than data mining for patterns in transaction data streams. It requires some negotiation of meaning and serves to connect different departments, e.g. a purchase requisition or a customer order. How can we judge, compare, validate and improve our knowledge activity. Concept mapping and navigation aids, stories, templates and automatic clustering creep in here as well.
Ontologies seek to create and share terminology and meaning within a group or organization.
Sharing knowledge means you have a duty to assist others to appreciate the meaning, to assimilate the concepts and to understand how these can be applied. There is an implied reciprocity and deeper level of engagement here than just publishing your words. We look at learning histories, best practices, left hand columns, personal journals, project reviews and distance learning here, recognize the value of deep dialog, the key role of quality questions and the importance of learning in community. Deep learning is portfolio building, ownership, practice, seeking meaning, reflection and social negotiation. Ask powerful questions and practice empathetic listening.