Ontologies facilitate the integration of heterogeneous data sources
by resolving semantic heterogeneity between them. This research aims
to study the possibility of generating a domain conceptual model
from a given ontology with the vision to grow this generated conceptual
data model into a global conceptual model integrating a number of
existing data and information sources. Based on ontologically derived
semantics of the BWW model, rules are identified that map elements
of the ontology language (DAML+OIL) to domain conceptual model elements.
This mapping is demonstrated using TAMBIS ontology. A significant
corollary of this study is that it is possible to generate a domain
conceptual model from a given ontology subject to validation that
needs to be performed by the domain specialist before evolving this
model into a global conceptual model.
%0 Journal Article
%1 El-Ghalayini2004
%A ?,
%D 2004
%J CoRR
%K Conceptual Data Information Integration Large- Model, Ontology, and scale
%T Reverse Engineering Ontology to Conceptual Data Models
%V abs/cs/0412036
%X Ontologies facilitate the integration of heterogeneous data sources
by resolving semantic heterogeneity between them. This research aims
to study the possibility of generating a domain conceptual model
from a given ontology with the vision to grow this generated conceptual
data model into a global conceptual model integrating a number of
existing data and information sources. Based on ontologically derived
semantics of the BWW model, rules are identified that map elements
of the ontology language (DAML+OIL) to domain conceptual model elements.
This mapping is demonstrated using TAMBIS ontology. A significant
corollary of this study is that it is possible to generate a domain
conceptual model from a given ontology subject to validation that
needs to be performed by the domain specialist before evolving this
model into a global conceptual model.
@article{El-Ghalayini2004,
abstract = {Ontologies facilitate the integration of heterogeneous data sources
by resolving semantic heterogeneity between them. This research aims
to study the possibility of generating a domain conceptual model
from a given ontology with the vision to grow this generated conceptual
data model into a global conceptual model integrating a number of
existing data and information sources. Based on ontologically derived
semantics of the BWW model, rules are identified that map elements
of the ontology language (DAML+OIL) to domain conceptual model elements.
This mapping is demonstrated using TAMBIS ontology. A significant
corollary of this study is that it is possible to generate a domain
conceptual model from a given ontology subject to validation that
needs to be performed by the domain specialist before evolving this
model into a global conceptual model.},
added-at = {2010-03-16T13:42:45.000+0100},
author = {?},
bibsource = {DBLP, http://dblp.uni-trier.de},
biburl = {https://www.bibsonomy.org/bibtex/20cb1995338fffa224da7b46b9ecaac3b/dm.kovalev},
ee = {http://arxiv.org/abs/cs/0412036},
file = {:C\:\\Users\\dmitry\\Desktop\\Диплом\\Литература\\ontology & conceptual schemas\\EL-Ghalayini\\REVERSE ENGINEERING ONTOLOGY TO CONCEPTUAL DATA MODELS.pdf:PDF},
interhash = {25a69b65365eb3b06e87e725308500fe},
intrahash = {0cb1995338fffa224da7b46b9ecaac3b},
journal = {CoRR},
keywords = {Conceptual Data Information Integration Large- Model, Ontology, and scale},
timestamp = {2010-03-16T13:42:47.000+0100},
title = {Reverse Engineering Ontology to Conceptual Data Models},
volume = {abs/cs/0412036},
year = 2004
}