The MARIO Ontology Network (MON) aims at providing MARIO robot with the means for creating, organising, querying and reasoning over a background knowledge base (e.g. to store/retrieve user’s personal information). MARIO background knowledge consists of: lexical knowledge (e.g. natural language lexica and linguistic frames), domain knowledge (e.g. cga, personal sphere), environmental knowledge (e.g. physical locations and maps), sensor knowledge (e.g. RFID, life mesures), and metadata knowledge (e.g. entity tagging). The MARIO Ontology Network (MON) is composed of different ontologies that cover different knowledge areas that are relevant to MARIO in order to make it a cognitive agent able to support older patient affected by dementia. The knowledge areas were identified by analysing the use cases that emerged from the MARIO project. These uses cases mainly describe actions and behaviours featuring the MARIO robots. Nevertheless, they also provide us with detailed descriptions about the nature of the knowledge that the robot should deal with in order to perform and select actions and behaviours, respectively. Currently, the MON consists of 12 knowledge areas and 40 modules.
The entry point of the MARIO Ontology Network is mario.owl