scholarly journals Research on Information Resource Integration of University Libraries under the Mode of Knowledge Management

2012 ◽  
Vol 04 (05) ◽  
pp. 207-211
Author(s):  
Yu-Qiang Guo ◽  
Zheng-Yu Sha
Keyword(s):  
Knowledge Management ◽  
Information Resource ◽  
Resource Integration ◽  
University Libraries ◽  
Information Resource Integration

The Research of CAS in the Enterprise Information Resource Integration

2013 ◽  
Vol 756-759 ◽  
pp. 796-799
Author(s):  
Zi Hong Zhang ◽  
Da Shen Xue
Keyword(s):  
Theoretical Analysis ◽  
Modeling And Simulation ◽  
Market Share ◽  
Information Resources ◽  
Information Resource ◽  
Resource Integration ◽  
Enterprise Information ◽  
Business Information ◽  
Information Resource Integration ◽  
Simulation Results

We use of CAS for business information resources to integrate theoretical analysis of the complexity and finish in a swarm of modeling and simulation platform model runs. In the analysis, we constantly adjust system, to observe changes in the simulation results. And finally we found for the system, that the higher the integration of the enterprises and market share on enterprises competitiveness has obvious advantages.

A Model for E-Government Information Resource Integration Based on Ontology

2012 ◽  
Vol 220-223 ◽  
pp. 2364-2370 ◽  
Author(s):  
Dong Li ◽  
Xi Lin Liu
Keyword(s):  
Semantic Representation ◽  
Information Resource ◽  
Resource Integration ◽  
Government Information ◽  
Ontological Engineering ◽  
The Past ◽  
Information Resource Integration ◽  
Definition Of ◽  
Methodological Aspects

Ontologies have attracted increasing attention in IT community and their benefits are now recognized for E-government applications. As one of the typical semantic representation methods, ontology-based integration approaches have been the focus in the past few decades. The definition of the ontology was reviewed firstly. Then methodological aspects related to ontological engineering were introduced. Importantly, a model of E-government information resource integration was presented. Finally, an E-government database ontology was developed for sharing and reuse of E-government information resource.

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