A knowledge management and information portal for the Kazakhstan Atomic Energy Committee

Kosilov, A.; Mandl, W.; Pásztory, Zoltán; Gladyshev, M.; Idrissova, M.; Zhantikin, T.

doi:10.1504/ijnkm.2009.028567

Search citation statements

Order By: Relevance

Paper Sections

Select...

Knowledge Management Portals In Nuclear Related Domain1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2012

2014

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It envisaged establishing guidance on the effective and efficient use of operating experience information to improve plant/personnel safety, plant reliability and commercial performance 11 . Kazakhstan Atomic Energy Committee has developed a portal to serve their day-to-day activities and to support working processes and to manage the documentation 12 . It also facilitates to create knowledge-base thereby providing an archive for nuclear knowledge.…”

Section: Knowledge Management Portals In Nuclear Related Domainmentioning

confidence: 99%

Development of Semantic Web-based Knowledge Management for Nuclear Reactor (KMNuR) Portal

Meenachi¹,

Baba²

2014

DJLIT

View full text Add to dashboard Cite

A web portal for nuclear reactor domain has been developed and is christened as Knowledge Management for Nuclear Reactor (KMNuR). This article reports about the development of the portal for fast breeder test reactor (FBTR). The methodology adopted for the development of the portal is described. Formats like RDF (Resource Description Framework), OWL (Web Ontology Language), Graphs, UML (Unified Modeling Language) were used to represent nuclear reactor knowledge. The ontology for the portal is created using Protégé. Central data processing system of the FBTR is taken as an example for giving the details of the functionality of KMNuR portal and its knowledge representation.

show abstract

Section: Knowledge Management Portals In Nuclear Related Domainmentioning

confidence: 99%