Dynamic Knowledge Management (DKM)
Abstract
The INTeg-Risk project is creating a huge quantity of information in an innovative conceptual framework supporting a new risk management paradigm. Providing access to this information beyond a mere collection of texts is a challenge. Several tasks of the project are dedicated to the elaboration of tools for an enhanced access to data. Technologies of the semantic web are foreseen as a key to introduce order and guide the risk management scientist into this knowledge jungle. This article will present a concept developed in the iNTeg-Risk project, which evolved from the need to have dynamic data structure, capability to query for bath qualitative and quantitative data, and last but not !east, the desire to find ways to emerge new knowledge about risk. Throughout this article we will explore the principle of Semantic Web, compared to standard relational data structures. By doing so, we will describe the capabilities of a Dynamic Knowledge Management system implemented as a possible solution for the management of the project results. Hence, DKM as been inspired by Semantic Web, it was implemented using a unique dynamic database structure. Bath the knowledge structure, in the form of ontology of the integrated risk management concepts, and technical solutions for handling the data will be described. Last section, but not least section of this article will deal with a variant of reasoning. This variant of reasoning is sourced in the exploration of relations. By that we mean seeking relations between classes and instances which create channels. Channels could be defined as class and instances related to each other, and those may enlighten us with overseen relations and impacts. Examples of channels and their practical interpretation in terms of reasoning will be given.