Mutual Transformation of Information and Knowledge
Olegs Verhodubs
TL;DR
This paper explores the bidirectional transformation between information and knowledge, demonstrating how rules can be generated from OWL ontologies and how ontologies can be created from rules, advancing semantic web systems.
Contribution
It introduces a method for transforming knowledge into information through ontology generation from rules, complementing previous work on information to knowledge transformation.
Findings
Rules can be generated from OWL ontologies.
Ontologies can be created from rules.
The approach enhances semantic web expert systems.
Abstract
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.
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Taxonomy
TopicsKnowledge Management and Technology · Personal Information Management and User Behavior · Data Quality and Management