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:
Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Web Semántica
- Ciencias de la computación
Áreas temáticas:
- Ciencias de la computación