Recommandation ontologique multicritère pour la métrologie
This work addresses information retrieval challenges for users in metrology research, though it appears incremental as it builds on existing knowledge representation and multicriteria techniques.
The paper tackles the problem of ranking information when no exact match exists in metrology research platforms, using an approach based on Description Logic, ontologies, and multicriteria comparison to provide the closest possible propositions. It presents a reasoning method to compare propositions based on semantic and syntactic differences by truncating information into distinct components.
Matchmaking and information ranking are helping process for users, by offering them the best answers possible at their request. When there is no exact answer, giving them the closest proposition available is an efficient upgrade of that helping process. With a reasearch platform on metrology as a framework, we will discuss about ranking with knowledge representation, with an approach based on Description Logic, ontologies and multricriteria comparison. We present a reasonning to compare each proposition with the other, with semantic and syntaxic difference, by troncating the information in distinct component.