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As software systems evolve and grow, their software architectures become more complex and therefore the amount of data containing some form of architectural knowledge also continues to grow. While many organizations have adopted some strategies and tools to support the producers of this data, there are still difficulties in extracting and/or formalizing the knowledge intrinsically embedded in this information, as well as its use and distribution in subsequent software projects. The importance of the study, capture and representation of knowledge about software architectures (CAS) and its management has given rise to numerous research works, some of them making use of applied ontologies as a tool to support knowledge. With the emergence of the concept of architectural decision, the first ideas appeared in the use of ontologies applied to the design of software architectures, for example, to describe architectural decisions and relationships between them, to record architectural decisions, software artifacts, roadmaps and architectural interests. The general objective of this work is the definition of methodologies, tools and mechanisms to exploit the knowledge of software architectures that is codified in diverse and heterogeneous sources, making use of ontologies, semantic web technologies and automatic learning algorithms; to facilitate access, integration, retrieval, and application in new design projects, as well as to infer new knowledge from existing knowledge.

Uso de ontologías y tecnologías de la web semántica para la integración, recuperación e intercambio de conocimiento de arquitecturas de software