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

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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.

Author information

Lucas Francisco da Matta Vegi
Departamento de Informática Universidade Federal de Viçosa Viçosa-MG, Brazil, 36570-000, BR
Jugurta Lisboa-Filho
Federal University of Viçosa, BR
Joep Crompvoets
Katholieke Universiteit Leuven, BE

Cite this article

Vegi, L., Lisboa-Filho, J., & Crompvoets, J. (2012). A Machine-Processable Dublin Core Application Profile to Analysis  Patterns to provide Linked Data. International Conference on Dublin Core and Metadata Applications, 2012. https://doi.org/10.23106/dcmi.952135943

DOI : 10.23106/dcmi.952135943

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