A new knowledge representation for managing organisational knowledge objects

Knowledge is currently considered as a strategic resource for organisations. Most organisational knowledge is stored in knowledge objects with natural language contents, which should be managed in their original representation to facilitate proper access without losing its semantics. This work presents a knowledge representation model that provides an innovative structure for representing domain knowledge and a set of semantic strategies that use this model to annotate and search explicit knowledge. This model makes a proper conceptual separation between ontological and linguistic spaces enabling an adequate representation of concepts of the world and its description in a particular language. By this model, semantics of knowledge objects can be captured taking into account compound terms and their semantic derivatives (synonyms and hyperonyms/hyponyms). These features extend the abilities of traditional keyword-based searches and help users to retrieve explicit knowledge.