DocumentCode
3582787
Title
An ontology based digital preservation system for enterprise collaboration
Author
Naeem, Muhammad ; Moalla, Nejib ; Ouzrout, Yacine ; Bouaras, Abdelaziz
Author_Institution
Lab. Decision et Inf. pour les Syst. de Production (DISP), Univ. Lumiere Lyon 2, Lyon, France
fYear
2014
Firstpage
691
Lastpage
698
Abstract
The structures of product design, process development, manufacturing, sales, product utilization, after sale service and product retirement are becoming more and more complex due to the underlying reasons of newly introduced rules as well as constraints of the respective stakeholders. On the other hand, these complexities are also appending up the organizational assets. The configuration of the state of art and introduction of an architecture which can convert this organizational asset into an action such as "to introduce an added value" in the product life cycle is an interesting but challenging task. We in this study have discussed the issues related to enterprise collaboration for the purpose of assessment of an enterprise\´s capability. Moreover, we have also proposed the solution for how we can utilize the structural knowledge of ontological modeling to address this issue along with the emerging technological advances. It\´s flexible as well as useful to utilize the state of the art digital preservation model to store, reuse and access the ontologies.
Keywords
competitive intelligence; digital preservation; manufacturing data processing; ontologies (artificial intelligence); organisational aspects; product design; product development; product life cycle management; enterprise capability assessment; enterprise collaboration; ontological modeling; ontology based digital preservation system; organizational asset; process development; product design; product life cycle; product retirement; product utilization; sale service; structural knowledge; Big data; Business; Collaboration; Context; Data models; Ontologies; Production; OAIS; PREMIS; big data; broker ontology; business intelligence; decision making; ontological modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Systems and Applications (AICCSA), 2014 IEEE/ACS 11th International Conference on
Type
conf
DOI
10.1109/AICCSA.2014.7073267
Filename
7073267
Link To Document