The Interoperability and Shared Management Information Model

Gao, Zhipeng; Li, Meng; Qiu, Xuesong; Xiaocui, Fu

doi:10.1109/ams.2007.102

Search citation statements

Order By: Relevance

Paper Sections

Select...

Research On Information Modelling Methods1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2015

Publication Types

Select...

Other1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At present, the usual practice is to adopt a new technology to rephrase or re-build a higher level unified information model on the basis of these models. In order to solve the interoperability between management information models, [16,17] introduced the ontology theory into the network management. [18] did not re-build a new unified information model to cover current existing information models, instead of using Semantic Web and Linked Data technology to describe various information models.…”

Section: Research On Information Modelling Methodsmentioning

confidence: 99%

Research on Information Models and Modelling Methods of the New Generation of OSS for Data Management

Lin¹,

Wang²,

Zhang³

et al. 2015

Proceedings of the International Conference on Computer Information Systems and Industrial Applications

View full text Add to dashboard Cite

In order to build the information model of the new generation of Operation Support System (OSS), we firstly point out that OSS is currently entering the era of big data management, and the Telco Operators are now facing big challenges. We then summarize the difficulties to build the OSS unified information model. After that, the paper surveys the existing information models, and modelling methodologies for OSS, and analyzes their applicability, advantages, as well as disadvantages. Finally, the idea of building the OSS unified information model is put forward. Moreover, the modelling idea has been applied in practice.

show abstract

Section: Research On Information Modelling Methodsmentioning

confidence: 99%