A semantic approach for designing Assistive Software Recommender systems

• Assistive Software Recommender (ASR) systems in the context of interoperability architectures.
• Requirements and design of ASR systems.
• Implementation and deployment of an ASR system.
• We report the non-functional assessment of our ASR system: performance and scalability evaluation.

Assistive Software offers a solution for people with disabilities to manage specialized hardware, devices or services. However, these users may have difficulties in selecting and installing Assistive Software in their devices for managing smart environments. This paper addresses the requirements of these kinds of systems and their design in the context of interoperability architectures. Our solution follows a semantic approach, for which ontologies are a key. The paper also presents an implementation of our design proposal, i.e., a real and usable system which is evaluated according to a set of functional and non-functional requirements here proposed.