Semantic Data Integration Approaches for E-Governance                    
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Call for papers...!!!

International Journal of Web & Semantic Technology (IJWesT)

(IS Indexed)

ISSN : 0975 - 9026 ( Online ) 0976- 2280 ( Print )


https://www.airccse.org/journal/ijwest/ijwest.html


Submission System: 

http://coneco2009.com/submissions/imagination/home.html


Contact Us:
Here's where you can reach us : ijwestjournal@airccse.org or ijwest@aircconline.com


Submission Deadline : June 11, 2022
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Semantic Data Integration Approaches for E-Governance    


Authors
Mohammed T. Al-Sudairy and T. G. K Vasista, King Saud University, KSA


Abstract   
Increased generation of data in the e-governance R&D process is required to generate the expected services in terms of enhanced e-services productivity and pipelines. The inability of existing integration strategies to organise and apply the available knowledge to the range of real scientific, business and governance issues is impacting on not only productivity but also transparency of information in crucial

safety and regulatory applications. This requires focusing on normative models of e-governance that typically can assert horizontal (inter-agency) and vertical (inter-governmental) integration of data flows to represent the most sophisticated form of e-government delivering greatest payoff for both governments and users. The new range of semantic technologies based on ontology enable proper integration of knowledge in a way that is reusable by several applications across governance business from discovery to ministry affairs. The objective of this paper is to provide an insight on the necessary and sufficient knowledge base to deal with data integration using semantic web technologies applicable for e-governance based on exploratory research using literature survey. It assumes that reader has the capability of understanding some basic knowledge on E-governance, Relational Database Management, Ontology, and Service Oriented Architecture and Semantic Web Technology.


Keywords
Data Integration, E-Government, Ontologies, Semantic Web, Semantic Data Integration.


Source URL :
https://airccse.org/journal/ijwest/papers/0111ijwest01.pdf


Volume URL :
http://www.airccse.org/journal/ijwest/vol2.html

 



 

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