Evidence-based Lean Conceptual Data Modelling Languages

Multiple logic-based reconstructions of UML class diagram, Entity Relationship diagrams, and Obect-Role Model diagrams exists. They mainly cover various fragments of these Conceptual Data Modelling Languages and none are formalised such that the logic applies simultaneously for the three language fa...

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Detalles Bibliográficos
Autores principales:	Fillottrani, Pablo Rubén, Keet, C. María
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2021
Materias:	Ciencias Informáticas Conceptual modelling Language profiles Modelling languages Modelling language use Lenguajes de modelado conceptual Modelos conceptuales Perfiles de lenguajes Uso de lenguajes de modelado
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/128259
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

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record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Conceptual modelling Language profiles Modelling languages Modelling language use Lenguajes de modelado conceptual Modelos conceptuales Perfiles de lenguajes Uso de lenguajes de modelado
spellingShingle	Ciencias Informáticas Conceptual modelling Language profiles Modelling languages Modelling language use Lenguajes de modelado conceptual Modelos conceptuales Perfiles de lenguajes Uso de lenguajes de modelado Fillottrani, Pablo Rubén Keet, C. María Evidence-based Lean Conceptual Data Modelling Languages
topic_facet	Ciencias Informáticas Conceptual modelling Language profiles Modelling languages Modelling language use Lenguajes de modelado conceptual Modelos conceptuales Perfiles de lenguajes Uso de lenguajes de modelado
description	Multiple logic-based reconstructions of UML class diagram, Entity Relationship diagrams, and Obect-Role Model diagrams exists. They mainly cover various fragments of these Conceptual Data Modelling Languages and none are formalised such that the logic applies simultaneously for the three language families as a unifying mechanism. This hampers interchangeability, interoperability, and tooling support. In addition, due to the lack of a systematic design process of the logic used for the formalisation, hidden choices permeate the formalisations that have rendered them incompatible. We aim to address these problems, first, by structuring the logic design process in a methodological way. We generalise and extend the DSL design process to logic language design. In particular, a new phase of ontological analysis of language features is included, to apply to logic language design more generally and, in particular, by incorporating an ontological analysis of language features in the process. Second, we specify minimal logic profiles availing of this extended process, including the ontological commitments embedded in the languages, of evidence gathered of language feature usage, and of computational complexity insights from Description Logics (DL). The profiles characterise the essential logic structure needed to handle the semantics of conceptual models, therewith enabling the development of interoperability tools. No known DL language matches exactly the features of those profiles and the common core is in the tractable DL ACJfl. Although hardly any inconsistencies can be derived with the profiles, it is promising for scalable runtime use of conceptual data models.
format	Articulo Articulo
author	Fillottrani, Pablo Rubén Keet, C. María
author_facet	Fillottrani, Pablo Rubén Keet, C. María
author_sort	Fillottrani, Pablo Rubén
title	Evidence-based Lean Conceptual Data Modelling Languages
title_short	Evidence-based Lean Conceptual Data Modelling Languages
title_full	Evidence-based Lean Conceptual Data Modelling Languages
title_fullStr	Evidence-based Lean Conceptual Data Modelling Languages
title_full_unstemmed	Evidence-based Lean Conceptual Data Modelling Languages
title_sort	evidence-based lean conceptual data modelling languages
publishDate	2021
url	http://sedici.unlp.edu.ar/handle/10915/128259
work_keys_str_mv	AT fillottranipabloruben evidencebasedleanconceptualdatamodellinglanguages AT keetcmaria evidencebasedleanconceptualdatamodellinglanguages AT fillottranipabloruben lenguajesausterosdemodeladoconceptualdedatosbasadosenevidencias AT keetcmaria lenguajesausterosdemodeladoconceptualdedatosbasadosenevidencias
bdutipo_str	Repositorios
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Evidence-based Lean Conceptual Data Modelling Languages

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