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2008 Third International Conference on Internet and Web Applications and Services
Methodological Aspects of Semantics Enrichment in Model Driven Architecture
June 08-June 13
ISBN: 978-0-7695-3163-2
ASCII Text
x 
 
M. Diouf, K. Musumbu, S. Maabout, "Methodological Aspects of Semantics Enrichment in Model Driven Architecture," Internet and Web Applications and Services, International Conference on, pp. 205-210, 2008 Third International Conference on Internet and Web Applications and Services, 2008.
 
 
BibTex
x
 
@article{ 10.1109/ICIW.2008.34,
author = {M. Diouf and K. Musumbu and S. Maabout},
title = {Methodological Aspects of Semantics Enrichment in Model Driven Architecture},
journal ={Internet and Web Applications and Services, International Conference on},
volume = {0},
year = {2008},
isbn = {978-0-7695-3163-2},
pages = {205-210},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICIW.2008.34},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Internet and Web Applications and Services, International Conference on
TI - Methodological Aspects of Semantics Enrichment in Model Driven Architecture
SN - 978-0-7695-3163-2
SP205
EP210
A1 - M. Diouf,
A1 - K. Musumbu,
A1 - S. Maabout,
PY - 2008
KW - Business rules
KW - knowledge based systems
KW - Model Driven Architecture
KW - reasoning
KW - Semantic Web
VL - 0
JA - Internet and Web Applications and Services, International Conference on
ER -
 
The Semantic Web is a vision for the future of the Web in which information is given explicit meaning, making it easier for machines to automatically process and integrate information available on the Web. An ontology defines the terms used to describe and represent an area of knowledge. Ontologies are used by people, databases, and applications that need to share domain information (a domain is just a specific subject area or area of knowledge, like medicine, tool manufacturing, real estate, automobile repair, financial management, etc.). In this paper we combine this two concepts to annotate models with meta-data according to the corresponding domain ontology with all the new extracted information in order to improve the performance of the entire system.
Index Terms:
Business rules, knowledge based systems, Model Driven Architecture, reasoning, Semantic Web
Citation:
M. Diouf, K. Musumbu, S. Maabout, "Methodological Aspects of Semantics Enrichment in Model Driven Architecture," iciw, pp.205-210, 2008 Third International Conference on Internet and Web Applications and Services, 2008
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