Full Paper

A Machine-Processable Dublin Core Application Profile to Analysis Patterns to provide Linked Data

  • Lucas Francisco da Matta Vegi 1
  • Jugurta Lisboa-Filho 2
  • Joep Crompvoets 3
  • 1 Departamento de Informática Universidade Federal de Viçosa Viçosa-MG, Brazil, 36570-000
  • 2 Federal University of Viçosa, Brazil
  • 3 Katholieke Universiteit Leuven, Belgium
Published
Access and licence
Open access CC BY 4.0
Download PDF

Abstract

Analysis patterns are reusable computational artifacts aimed at the analysis stage of the software development process. Although the analysis patterns can facilitate the work of analysts and developers, the access to them is still very poor because of the way they are usually described and made available. The Analysis Patterns Reuse Infrastructure (APRI) was proposed in order to reduce these deficiencies for supporting, cataloging and encouraging the reuse of analysis patterns. This infrastructure comprises a repository of analysis patterns documented through a specific metadata profile and that can be accessed via Web services. Based on the proposal of APRI, this article presents the specific metadata profile to the documentation of analysis patterns called Dublin Core Application Profile for Analysis Patterns (DC2AP). This application profile is described by RDF files and identified via URI, thus providing Linked Data that increase the potential for reuse of the analysis patterns.

The full text of this article is available as a PDF.

Download PDF

Article details

Published
Section
Full Papers
DOI
10.23106/dcmi.952135943
License
CC BY 4.0 · open access

Indexed in

Described in Dublin Core

This article's metadata, in the vocabulary these proceedings are about.

dcterms:title
A Machine-Processable Dublin Core Application Profile to Analysis Patterns to provide Linked Data
dcterms:creator
Vegi, Lucas Francisco da Matta
Lisboa-Filho, Jugurta
Crompvoets, Joep
dcterms:date
2012-09-08
dcterms:identifier
doi:10.23106/dcmi.952135943
dcterms:subject
analysis patterns
reuse
metadata standards
Dublin Core
Sematic Web
Linked Data
dcterms:publisher
Dublin Core Metadata Initiative
dcterms:type
Text
dcterms:language
en
dcterms:rights
CC BY 4.0