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2009 International Conference on Information Management and Engineering
New Algorithm for Building Ontology from Existing Rules: A Case Study
Kuala Lumpur, Malaysia
April 03-April 05
ISBN: 978-0-7695-3595-1
ASCII Text
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Faten Kharbat, Haya Ghalayini, "New Algorithm for Building Ontology from Existing Rules: A Case Study," Information Management and Engineering, International Conference on, pp. 12-16, 2009 International Conference on Information Management and Engineering, 2009.
 
 
BibTex
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@article{ 10.1109/ICIME.2009.16,
author = {Faten Kharbat and Haya Ghalayini},
title = {New Algorithm for Building Ontology from Existing Rules: A Case Study},
journal ={Information Management and Engineering, International Conference on},
volume = {0},
year = {2009},
isbn = {978-0-7695-3595-1},
pages = {12-16},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICIME.2009.16},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Information Management and Engineering, International Conference on
TI - New Algorithm for Building Ontology from Existing Rules: A Case Study
SN - 978-0-7695-3595-1
SP12
EP16
A1 - Faten Kharbat,
A1 - Haya Ghalayini,
PY - 2009
KW - Onrology
KW - knowldege-based systems
KW - developing Ontology
KW - breast cancer
VL - 0
JA - Information Management and Engineering, International Conference on
ER -
 
From the fact that ontologies can help in making sense of huge amount of content, this paper proposes a case study for building ontology via set of rules generated by rule-based learning system. The proposed algorithm utilises the extracted and representative rules generated from the original dataset in developing ontology elements. The proposed algorithm is applied to a well known dataset in the breast cancer domain. The results are encouraging and support the potential role that this approach can play in providing a suitable starting point for ontology development.
Index Terms:
Onrology, knowldege-based systems, developing Ontology, breast cancer
Citation:
Faten Kharbat, Haya Ghalayini, "New Algorithm for Building Ontology from Existing Rules: A Case Study," icime, pp.12-16, 2009 International Conference on Information Management and Engineering, 2009
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