Ontologies, as formal representations of domain knowledge, enable knowledge sharing between different knowledge-based applications. Diverse techniques originating from the field of artificial intelligence are aimed at facilitating ontology development. However, these techniques, although well known to AI experts, are typically unknown to a large population of software engineers. In order to overcome the gap between the knowledge of software engineering practitioners and AI techniques, a few proposals have been made suggesting the use of well-known software engineering techniques, such as UML, for ontology development (Cranefield 2001a).
Description
Software Engineering Approaches to Ontology Development - Springer
%0 Book Section
%1 gasevic2009software
%A Gaševic, Dragan
%A Djuric, Dragan
%A Devedžic, Vladan
%B Model Driven Engineering and Ontology Development
%D 2009
%I Springer Berlin Heidelberg
%K development driven engineering model ontology
%P 177-205
%R 10.1007/978-3-642-00282-3_6
%T Software Engineering Approaches to Ontology Development
%U http://dx.doi.org/10.1007/978-3-642-00282-3_6
%X Ontologies, as formal representations of domain knowledge, enable knowledge sharing between different knowledge-based applications. Diverse techniques originating from the field of artificial intelligence are aimed at facilitating ontology development. However, these techniques, although well known to AI experts, are typically unknown to a large population of software engineers. In order to overcome the gap between the knowledge of software engineering practitioners and AI techniques, a few proposals have been made suggesting the use of well-known software engineering techniques, such as UML, for ontology development (Cranefield 2001a).
%@ 978-3-642-00281-6
@incollection{gasevic2009software,
abstract = {Ontologies, as formal representations of domain knowledge, enable knowledge sharing between different knowledge-based applications. Diverse techniques originating from the field of artificial intelligence are aimed at facilitating ontology development. However, these techniques, although well known to AI experts, are typically unknown to a large population of software engineers. In order to overcome the gap between the knowledge of software engineering practitioners and AI techniques, a few proposals have been made suggesting the use of well-known software engineering techniques, such as UML, for ontology development (Cranefield 2001a).},
added-at = {2013-03-01T10:56:46.000+0100},
author = {Gaševic, Dragan and Djuric, Dragan and Devedžic, Vladan},
biburl = {https://www.bibsonomy.org/bibtex/2fdf6b476bb442bc2f8a43813daacddd1/porta},
booktitle = {Model Driven Engineering and Ontology Development},
description = {Software Engineering Approaches to Ontology Development - Springer},
doi = {10.1007/978-3-642-00282-3_6},
interhash = {060bc75a9a243fea047d3ee19c6ed9c6},
intrahash = {fdf6b476bb442bc2f8a43813daacddd1},
isbn = {978-3-642-00281-6},
keywords = {development driven engineering model ontology},
language = {English},
pages = {177-205},
publisher = {Springer Berlin Heidelberg},
timestamp = {2013-03-01T10:56:46.000+0100},
title = {Software Engineering Approaches to Ontology Development},
url = {http://dx.doi.org/10.1007/978-3-642-00282-3_6},
year = 2009
}