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 :
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