Enterprise Knowledge Modeling, UML vs Ontology: Formal Evaluation
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | Enterprise Knowledge Modeling, UML vs Ontology: Formal Evaluation |
| Type de publication | Conference Paper |
| Year of Publication | 2019 |
| Auteurs | Mkhinini MMejhed, Labbani O, Nicolle C |
| Editor | Nedevschi S, Potolea R, Slavescu RR |
| Conference Name | 2019 IEEE 15TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTER COMMUNICATION AND PROCESSING (ICCP 2019) |
| Publisher | IEEE; IEEE Romanian Comp Soc Chapter; Tech Univ Cluj Napoca, Comp Sci Dept; Tech Univ Cluj Napoca; Acad Tech Sci; IEEE Romania Sect; Robert Bosch SRL; Porsche Engn Romania SRL |
| Conference Location | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| ISBN Number | 978-1-7281-4914-1 |
| Résumé | Everyday activities in enterprises rely heavily on the experts' know-how. Due to experts departure, the loss of expertise and knowledge is a reoccurring problem in these enterprises. Recently, in order to capture experts knowledge into intelligent. systems, formal knowledge representation methods, such as ontologies, are being studied and have caught up with non -formal or semi-formal representation, such as UML. The similarities and differences between UML class diagram and computational ontology have for long raised questions about the possibility of synthesizing them in a common representation (usually an ontology). Indeed, the problem of migrating knowledge encoded in UML into an ontology is an active research domain. This paper outlines our approach, which is based on semantic matching between existing ontologies and a UML class diagram, to support L1MI, driven ontology refactoring and engineering. |