The ATRACO Project is a prototype implementation of a trusted ambient ecology system that runs and manages activity spheres in an Ambient Intelligence Space. Activity spheres are realized by automatically discovering, selecting, and adapting smart devices (artefacts) existing in the space, according to user's preferences, customs, and activities. OWL ontologies are used for modeling user profile, devices, activities, and goal descriptions. Abstract plans are bound to specific devices, methods, and values through semantic matching.
Booleano is an interpreter of Boolean expressions; a library to define and run filters available as text (e.g. in a natural language) or in Python code. In order to handle text-based filters, Booleano ships with a fully-featured parser whose grammar is adaptive: Its properties can be overridden using simple configuration directives. On the other hand, the library exposes a Pythonic API for filters written in pure Python. These filters are particularly useful to build reusable conditions from objects provided by a third party library.