Towards the creation of a semantic repository of iStar-based context models


Abstract:

The System Architecture definition of the majority of organizations requires a deep understanding about its environment and organizational structure; nevertheless, 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 that problem, supporting the Context Models construction. 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.

Año de publicación:

2018

Keywords:

  • Context models
  • Context Actors
  • Semantic Repository
  • ontology
  • Linked data
  • Strategic Dependency

Fuente:

rraaerraae
scopusscopus
googlegoogle
orcidorcid

Tipo de documento:

Article

Estado:

Acceso abierto

Áreas de conocimiento:

  • Inteligencia artificial
  • Ciencias de la computación

Áreas temáticas de Dewey:

  • Programación informática, programas, datos, seguridad
Procesado con IAProcesado con IA

Objetivos de Desarrollo Sostenible:

  • ODS 9: Industria, innovación e infraestructura
  • ODS 17: Alianzas para lograr los objetivos
  • ODS 8: Trabajo decente y crecimiento económico
Procesado con IAProcesado con IA