Volume 11 Number 3 (Mar. 2016)
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JSW 2016 Vol.11(3): 272-286 ISSN: 1796-217X
doi: 10.17706/jsw.11.3.272-286

APRImora: An Architecture Based on Semantic Web to Retrieve Information in Pattern Repositories

Angélica Aparecida de Almeida Ribeiro1, Jugurta Lisboa-Filho1*, Lucas Francisco da Matta Vegi1, Alcione de Paiva Oliveira1, Regina Maria Maciel Braga2, Emílio José de S. Fonseca1

1Departamento de Informática – Universidade Federal de Viçosa. 36570-000 – Viçosa – MG – Brazil.
2Departamento de Ciência da Computação - Universidade Federal de Juiz de Fora. 36036-900 - Juiz de Fora-MG, Brazil.

Abstract—Software patterns are computing artifacts used to document knowledge that may be reused during software development process. There are several types of patterns, such as analysis, design, and architectural, among others. Design patterns are the most well known by designers, but many of them are described in books and scientific papers, a recurring way of documenting patterns that limits their reuse potential. Aiming to not only minimize this limitation but also provide ways of recovering contextualized knowledge in these patterns, the present paper presents the architecture APRImora, an extension based on Semantic Web of the Analysis Patterns Reuse Infrastructure (APRI). In this architecture, the patterns are documented by metadata defined as application profiles of the Dublin Core standard and stored in the RDF, allowing them to be discovered by search engines. The APRImora architecture helps designers discover and reuse software patterns based on semantic relations, which favors their dissemination and reuse.

Index Terms—Analysis pattern, design patterns, pattern repositories, retrieving information, semantic web.

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Cite: Angélica Aparecida de Almeida Ribeiro, Jugurta Lisboa-Filho, Lucas Francisco da Matta Vegi, Alcione de Paiva Oliveira, Regina Maria Maciel Braga, Emílio José de S. Fonseca, "APRImora: An Architecture Based on Semantic Web to Retrieve Information in Pattern Repositories," Journal of Software vol. 11, no. 3, pp. 272-286, 2016.

General Information

ISSN: 1796-217X (Online)
Frequency:  Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
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