Learning to map between ontologies on the semantic web
Proceedings of the 11th international conference on World Wide Web
Spoken Dialogue Technology
IEEE Transactions on Knowledge and Data Engineering
Enriching OWL Ontologies with Linguistic and User-Related Annotations: The ELEON System
ICTAI '07 Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence - Volume 02
ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation
PNS: personalized multi-source news delivery
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
IEEE Transactions on Evolutionary Computation
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This work recommends an architecture for the dialogue system of robots that serve as guides in art collections. Such robots interact with visitors providing information about the exhibits or the educational programmes of a museum. The interaction takes place in natural language in the form of a dialogue session during which, the robot provides suggestions or explanations about programmes or exhibits; furthermore the robot leads the visitors to the room of the desired exhibit. Past research projects have led us to suggest a cognitive based dialogue architecture that is based on four modules: a reactive, a delibetative, a reflective, and an affective one. The cognitive model, allows great flexibility, comprehensibility, facility to revise certain modules as desired and a high degree of naturalness in dialogue and behaviour with humans. In addition the dialogue system relies on resources such as OWL domain ontologies, user types, user interaction history and a robotic personality.