Mutual Transformation of Information and Knowledge
This work addresses the need for automated ontology generation in semantic web systems, but it appears incremental as it builds on prior methods for rule generation from ontologies.
The paper tackles the problem of transforming knowledge into information by generating OWL ontologies from rules, demonstrating a bidirectional transformation between information and knowledge.
Information and knowledge are transformable into each other. Information transformation into knowledge by the example of rule generation from OWL (Web Ontology Language) ontology has been shown during the development of the SWES (Semantic Web Expert System). The SWES is expected as an expert system for searching OWL ontologies from the Web, generating rules from the found ontologies and supplementing the SWES knowledge base with these rules. The purpose of this paper is to show knowledge transformation into information by the example of ontology generation from rules.