RADAR: Resilient Application for Dependable Aided Reporting

Many organizations must produce many reports for various reasons. Although this activity could appear simple to carry out, this fact is not at all true: indeed, generating reports requires the collection of possibly large and heterogeneous data sets. Furthermore, different professional figures are i...

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Autores principales: Antonia Azzini, Nicola Cortesi, Giuseppe Psaila
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/eb313e3f801f41878577ec2d7598bbb2
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spelling oai:doaj.org-article:eb313e3f801f41878577ec2d7598bbb22021-11-25T17:58:34ZRADAR: Resilient Application for Dependable Aided Reporting10.3390/info121104632078-2489https://doaj.org/article/eb313e3f801f41878577ec2d7598bbb22021-11-01T00:00:00Zhttps://www.mdpi.com/2078-2489/12/11/463https://doaj.org/toc/2078-2489Many organizations must produce many reports for various reasons. Although this activity could appear simple to carry out, this fact is not at all true: indeed, generating reports requires the collection of possibly large and heterogeneous data sets. Furthermore, different professional figures are involved in the process, possibly with different skills (database technicians, domain experts, employees): the lack of common knowledge and of a unifying framework significantly obstructs the effective and efficient definition and continuous generation of reports. This paper presents a novel framework named <i>RADAR</i>, which is the acronym for “Resilient Application for Dependable Aided Reporting”: the framework has been devised to be a ”bridge” between data and employees in charge of generating reports. Specifically, it builds a common knowledge base in which database administrators and domain experts describe their knowledge about the application domain and the gathered data; this knowledge can be browsed by employees to find out the relevant data to aggregate and insert into reports, while designing report layouts; the framework assists the overall process from data definition to report generation. The paper presents the application scenario and the vision by means of a running example, defines the data model and presents the architecture of the framework.Antonia AzziniNicola CortesiGiuseppe PsailaMDPI AGarticleframework for report definition and generationcommon knowledge baseontologies and high-level data modelInformation technologyT58.5-58.64ENInformation, Vol 12, Iss 463, p 463 (2021)
institution DOAJ
collection DOAJ
language EN
topic framework for report definition and generation
common knowledge base
ontologies and high-level data model
Information technology
T58.5-58.64
spellingShingle framework for report definition and generation
common knowledge base
ontologies and high-level data model
Information technology
T58.5-58.64
Antonia Azzini
Nicola Cortesi
Giuseppe Psaila
RADAR: Resilient Application for Dependable Aided Reporting
description Many organizations must produce many reports for various reasons. Although this activity could appear simple to carry out, this fact is not at all true: indeed, generating reports requires the collection of possibly large and heterogeneous data sets. Furthermore, different professional figures are involved in the process, possibly with different skills (database technicians, domain experts, employees): the lack of common knowledge and of a unifying framework significantly obstructs the effective and efficient definition and continuous generation of reports. This paper presents a novel framework named <i>RADAR</i>, which is the acronym for “Resilient Application for Dependable Aided Reporting”: the framework has been devised to be a ”bridge” between data and employees in charge of generating reports. Specifically, it builds a common knowledge base in which database administrators and domain experts describe their knowledge about the application domain and the gathered data; this knowledge can be browsed by employees to find out the relevant data to aggregate and insert into reports, while designing report layouts; the framework assists the overall process from data definition to report generation. The paper presents the application scenario and the vision by means of a running example, defines the data model and presents the architecture of the framework.
format article
author Antonia Azzini
Nicola Cortesi
Giuseppe Psaila
author_facet Antonia Azzini
Nicola Cortesi
Giuseppe Psaila
author_sort Antonia Azzini
title RADAR: Resilient Application for Dependable Aided Reporting
title_short RADAR: Resilient Application for Dependable Aided Reporting
title_full RADAR: Resilient Application for Dependable Aided Reporting
title_fullStr RADAR: Resilient Application for Dependable Aided Reporting
title_full_unstemmed RADAR: Resilient Application for Dependable Aided Reporting
title_sort radar: resilient application for dependable aided reporting
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/eb313e3f801f41878577ec2d7598bbb2
work_keys_str_mv AT antoniaazzini radarresilientapplicationfordependableaidedreporting
AT nicolacortesi radarresilientapplicationfordependableaidedreporting
AT giuseppepsaila radarresilientapplicationfordependableaidedreporting
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