An Ontological Structure for Gathering and Sharing Knowledge among Scientists through Experiment Modeling

Knowledge Grids As Ontologies

It is a fact that knowledge has become an asset for most of the organizations, which are conscious about the resources of awareness and the ways to manage them. Knowledge, by itself, is hard to define and its handling is rather difficult. In such context, any knowledge managing technique acquires some attention from people related to the creation, storing and handling of knowledge. One of the most frequent mechanisms used to manage knowledge is grids (Li & Liu, 2007; Goble, et al., 2005; Zettsu, et al., 2008).

Every concept has its own charge of knowledge, which is a piece of information or even a piece of primitive knowledge. In order to represent a higher level of meaning, concepts can be assembled as nets. Along the process of assembling the nets of knowledge, the semantics bound to the nets becomes complex. Thus the action of assembling is important for meaning, although meaning does not depend on the assembling by itself, it depends on the concepts involved and the kind of relationships established among these concepts. Not every connection of concepts will imply meaningful structures. The connections should be rationally founded in the common understanding of reality.

The human brain is always trying to relate the stimuli, arriving from the environment, to the elements already stored by the previous experiences. The brain's goal is to produce meaning to the current experience. The network of concepts, made during this linking process in the brain, is able to produce meaning. Artificial grids of knowledge could produce the very same support for dealing with synthetic concepts.