Merging of Ontologies Through Merging of Their Rules
This work tackles ontology merging for expert systems, but it appears incremental as it builds on existing rule-based methods without claiming major breakthroughs.
The paper addresses the ineffectiveness of ontology merging by proposing to incorporate goals into the process, using rules generated from ontologies to improve merging for expert systems.
Ontology merging is important, but not always effective. The main reason, why ontology merging is not effective, is that ontology merging is performed without considering goals. Goals define the way, in which ontologies to be merged more effectively. The paper illustrates ontology merging by means of rules, which are generated from these ontologies. This is necessary for further use in expert systems.