{'fraction_non_alphanumeric': 0.021397105097545627, 'fraction_numerical': 0.0012586532410320957, 'mean_word_length': 5.0456273764258555, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Ontology-driven agent code generation for home care in Protégé

The percentage of old and chronically ill people in all European countries has been growing steadily in the last years. This tendency is putting a very heavy economic and social pressure on all national Health Care systems. It is widely accepted that this problem can be somehow palliated if Home Care (HC) services are improved and used as a valid alternative to hospitalisation. The aim of the K4Care European project is to explore the use of IST and Artificial Intelligence techniques to provide a Home Care model, design and develop a prototype system, based on Web technology and intelligent agents. Our presentation concerns the realization of a plug-in for Protege that automates the generation of the entire Multi-Agent System’s code, underlying the application domain, starting from a complete ontological description of the environment. This plug-in is intended for designers and developers of K4Care platform, giving them the possibility, among the others, to supervise the state of the application ontologies, to modify them, to generate the inherent agent-oriented code, to embed the control of the MAS middleware (in our case, JADE), to register created agents in the MAS and start them. The plug-in is an integrated tool enabling agents generation in a knowledge intensive domain, such as health care. In our presentation we will introduce the development of all ontologies involved in agents generation, the theoretical approach to the plug-in realization and the technical details related to its development.