Managing i∗-based reusable context models elements through a semantic repository


Abstract:

In previous works, we have presented a catalogue of patterns aimed at improving context models' construction by departing from a set of predefined elements, instead of starting from scratch. Patterns were identified from i∗- based context models constructed for several industrial cases (where the DHARMA method was used), packaged and stored in the form of i∗ SD actors and dependencies. In this paper we go one step further and present a framework, based in semantic technologies, designed to improve utilization of the catalog, which has been deployed as a semantic repository. The framework makes easier the construction of i∗-based context models, by recommending knowledge elements stored in the repository.

Año de publicación:

2016

Keywords:

  • DHARMA method
  • Semantic Repository
  • iStar framework

Fuente:

scopusscopus

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Web Semántica
  • Ciencias de la computación

Áreas temáticas:

  • Ciencias de la computación