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.
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Notes
- 1.
Namespace uniquely identifies a set of names, so that there is no ambiguity when objects having different origins but the same names are mixed together.
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Triple Store: Purpose-built database for the storage and retrieval of triples through semantic queries.
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- 4.
SPARQL: Query language for RDF. http://www.w3.org/TR/rdf-sparql-query/.
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Abad, K., Carvallo, J.P., Espinoza, M., Saquicela, V. (2016). Towards the Creation of a Semantic Repository of iStar-Based Context Models. In: Mejia, J., Munoz, M., Rocha, Á., Calvo-Manzano, J. (eds) Trends and Applications in Software Engineering. Advances in Intelligent Systems and Computing, vol 405. Springer, Cham. https://doi.org/10.1007/978-3-319-26285-7_11
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DOI: https://doi.org/10.1007/978-3-319-26285-7_11
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