Separating Ontological and Informational Concerns: A Model-driven Approach for Conceptual Modeling

Made available in DSpace on 2016-12-23T14:33:33Z (GMT). No. of bitstreams: 1 Roberto Carraretto Cap 1-3.pdf: 1849937 bytes, checksum: 680d00a31a288845b7a36d7a1ff2e64a (MD5) Previous issue date: 2011-11-28 === Many authors have discussed the importance of ontological concerns in the development of...

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Main Author: Carrareto, Roberto
Other Authors: Almeida, João Paulo Andrade
Format: Others
Language:Portuguese
Published: Universidade Federal do Espírito Santo 2016
Subjects:
Online Access:http://repositorio.ufes.br/handle/10/6347
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spelling ndltd-IBICT-oai-dspace2.ufes.br-10-63472019-01-21T18:30:12Z Separating Ontological and Informational Concerns: A Model-driven Approach for Conceptual Modeling Carrareto, Roberto Almeida, João Paulo Andrade Guizzardi, Giancarlo Campos, Maria Luiza Ontologias Ciência da informação Modelagem de dados Modelagem de informações modelagem conteitual CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO Made available in DSpace on 2016-12-23T14:33:33Z (GMT). No. of bitstreams: 1 Roberto Carraretto Cap 1-3.pdf: 1849937 bytes, checksum: 680d00a31a288845b7a36d7a1ff2e64a (MD5) Previous issue date: 2011-11-28 Many authors have discussed the importance of ontological concerns in the development of information systems, emphasizing the benefits of ontology-based approaches to conceptual modeling tasks. A principled ontology-driven approach typically relies on the definition of a domain ontology and its use in subsequent phases of information system design and integration. Many of the challenges in the application of such an approach are related to addressing ontological concerns (defining the nature of phenomena of interest) and addressing informational concerns (defining the information demand about the phenomena of interest). In this thesis, we argue that ontological concerns should be clearly separated from informational concerns. We have observed that ontology-based approaches and information modeling approaches have been treated mostly in isolation, with the consequence that the relation between a domain ontology and an information model is still in need of clarification, despite the efforts of the formal ontology and the information modeling communities. Therefore, in this thesis, we analyze conceptual modeling in terms of two levels, namely, the so-called ontological level and, what we call, the information level. Our initial effort is to characterize the information level in harmony with existing works on information modeling and to align our information level approach with the existing ones concerning the ontological level. Then, we strive to provide a model-driven approach in which a domain ontology addressing ontological concerns (at the ontological level) is used as a starting point for the definition of an information model addressing informational concerns (at the information level). Our model-driven approach is guided by several systematic informational decisions that we identify here, which assist the addressing of an information demand. We adopt a philosophically well-founded profile of the Unified Modeling Language (UML) class diagrams, called OntoUML, to represent domain ontologies. Further, we adopt UML class diagrams to represent information models in an object-oriented approach. Finally, we provide tool support for the model transformation from OntoUML to UML in order to operationalize the approach and show its technical feasibility 2016-12-23T14:33:33Z 2013-04-09 2016-12-23T14:33:33Z 2011-11-28 info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/masterThesis CARRARETO, Roberto. Separating Ontological and Informational Concerns: A Model-driven Approach for Conceptual Modeling. 2011. 128 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal do Espírito Santo, Vitória, 2011. http://repositorio.ufes.br/handle/10/6347 por info:eu-repo/semantics/openAccess text Universidade Federal do Espírito Santo Programa de Pós-Graduação em Informática UFES BR Ciência da Computação reponame:Repositório Institucional da UFES instname:Universidade Federal do Espírito Santo instacron:UFES
collection NDLTD
language Portuguese
format Others
sources NDLTD
topic Ontologias
Ciência da informação
Modelagem de dados
Modelagem de informações
modelagem conteitual
CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
spellingShingle Ontologias
Ciência da informação
Modelagem de dados
Modelagem de informações
modelagem conteitual
CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
Carrareto, Roberto
Separating Ontological and Informational Concerns: A Model-driven Approach for Conceptual Modeling
description Made available in DSpace on 2016-12-23T14:33:33Z (GMT). No. of bitstreams: 1 Roberto Carraretto Cap 1-3.pdf: 1849937 bytes, checksum: 680d00a31a288845b7a36d7a1ff2e64a (MD5) Previous issue date: 2011-11-28 === Many authors have discussed the importance of ontological concerns in the development of information systems, emphasizing the benefits of ontology-based approaches to conceptual modeling tasks. A principled ontology-driven approach typically relies on the definition of a domain ontology and its use in subsequent phases of information system design and integration. Many of the challenges in the application of such an approach are related to addressing ontological concerns (defining the nature of phenomena of interest) and addressing informational concerns (defining the information demand about the phenomena of interest). In this thesis, we argue that ontological concerns should be clearly separated from informational concerns. We have observed that ontology-based approaches and information modeling approaches have been treated mostly in isolation, with the consequence that the relation between a domain ontology and an information model is still in need of clarification, despite the efforts of the formal ontology and the information modeling communities. Therefore, in this thesis, we analyze conceptual modeling in terms of two levels, namely, the so-called ontological level and, what we call, the information level. Our initial effort is to characterize the information level in harmony with existing works on information modeling and to align our information level approach with the existing ones concerning the ontological level. Then, we strive to provide a model-driven approach in which a domain ontology addressing ontological concerns (at the ontological level) is used as a starting point for the definition of an information model addressing informational concerns (at the information level). Our model-driven approach is guided by several systematic informational decisions that we identify here, which assist the addressing of an information demand. We adopt a philosophically well-founded profile of the Unified Modeling Language (UML) class diagrams, called OntoUML, to represent domain ontologies. Further, we adopt UML class diagrams to represent information models in an object-oriented approach. Finally, we provide tool support for the model transformation from OntoUML to UML in order to operationalize the approach and show its technical feasibility ===
author2 Almeida, João Paulo Andrade
author_facet Almeida, João Paulo Andrade
Carrareto, Roberto
author Carrareto, Roberto
author_sort Carrareto, Roberto
title Separating Ontological and Informational Concerns: A Model-driven Approach for Conceptual Modeling
title_short Separating Ontological and Informational Concerns: A Model-driven Approach for Conceptual Modeling
title_full Separating Ontological and Informational Concerns: A Model-driven Approach for Conceptual Modeling
title_fullStr Separating Ontological and Informational Concerns: A Model-driven Approach for Conceptual Modeling
title_full_unstemmed Separating Ontological and Informational Concerns: A Model-driven Approach for Conceptual Modeling
title_sort separating ontological and informational concerns: a model-driven approach for conceptual modeling
publisher Universidade Federal do Espírito Santo
publishDate 2016
url http://repositorio.ufes.br/handle/10/6347
work_keys_str_mv AT carraretoroberto separatingontologicalandinformationalconcernsamodeldrivenapproachforconceptualmodeling
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