dc.creatorIsotani, Seiji
dc.creatorBittencourt, I. I.
dc.creatorBarbosa, Ellen Francine
dc.creatorDermeval, D.
dc.creatorPaiva, R. O. A.
dc.date.accessioned2016-09-27T17:34:06Z
dc.date.accessioned2018-07-04T17:10:28Z
dc.date.available2016-09-27T17:34:06Z
dc.date.available2018-07-04T17:10:28Z
dc.date.created2016-09-27T17:34:06Z
dc.date.issued2015-03
dc.identifierRevista IEEE América Latina,Piscataway, NJ : IEEE,v.13, n.3, p.863-869, Mar. 2015
dc.identifier1548-0992
dc.identifierhttp://www.producao.usp.br/handle/BDPI/50919
dc.identifier10.1109/TLA.2015.7069116
dc.identifierhttp://dx.doi.org/10.1109/TLA.2015.7069116
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1645655
dc.description.abstractOntologies are formal representations of knowledge about a given domain. Based on them, it is possible to create more expressive knowledge bases that can be shared, extended and reused in different scenarios. In software engineering, ontologies can contribute in many different ways to improve the models, methods, techniques and processes of software development. Nevertheless, the use and benefits of ontologies and Semantic Web technologies in Software Engineering is spread across several articles and books available in the literature. In this context, this paper aims at compiling and presenting the research findings and potential benefits when applying ontologies to address three major challenges in software engineering: (1) difficulty in communicating and sharing information; (2) effective management of software development phases; and (3) development techniques and environments to support the production of semantic software through an interdisciplinary approach. We believe that the review of the literature and discussions presented in this work can contribute to disseminate best practices of using ontologies in software development as well as to give directions about this field of research, its challenges and opportunities.
dc.languagepor
dc.publisherIEEE
dc.publisherPiscataway, NJ
dc.relationRevista IEEE América Latina
dc.rightsCopyright IEEE
dc.rightsrestrictedAccess
dc.subjectOntology
dc.subjectSemantic Web
dc.subjectSoftware Engineering
dc.titleOntology driven software engineering: a review of challenges and opportunities
dc.typeArtículos de revistas


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