SciELO - Scientific Electronic Library Online

 
 número17Una aproximación basada en metamodelado del área de proceso de Validación del CMMI: Un caso de estudioMIMSG: Un Modelo para la Integración de MiPyMES, Sociedad y Gobierno de la zona Metropolitana de Orizaba en el uso de las TIC índice de autoresíndice de assuntosPesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Não possue artigos similaresSimilares em SciELO

Compartilhar


RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação

versão impressa ISSN 1646-9895

Resumo

ABAD, Karina; CARVALLO, Juan Pablo; ESPINOZA, Mauricio  e  SAQUICELA, Víctor. Towards the Creation of a Semantic Repository of iStar-Based Context Models and the DHARMA Method. RISTI [online]. 2016, n.17, pp.41-56. ISSN 1646-9895.  https://doi.org/10.17013/risti.17.41-56.

The System Architecture definition of the majority of organizations requires a deep understanding about its environment and organizational structure; however, the construction of such models is not an easy task because of the gap of knowledge and communication between the technical and administrative staff. The DHARMA method, which makes intensive use of the i* notation, propose a solution to this problem, supporting the building of context models. This paper presents an approach for annotating the i* models with semantic technologies, to support the search and generation of Context Models based on the knowledge defined in ontological models, allowing the creation of a Semantic Repository of Context Models, which will be used to discover relations between different i* models and extract patterns from them.

Palavras-chave : Context Models; Context Actors; Strategic Dependency; Ontology; Semantic Repository; Linked Data.

        · resumo em Espanhol     · texto em Espanhol     · Espanhol ( pdf )

 

Creative Commons License Todo o conteúdo deste periódico, exceto onde está identificado, está licenciado sob uma Licença Creative Commons