Abstract
This paper proposes a model for ontological representation supporting task-oriented dialog. The adoption of our ontology representation allows to map an interactive Question Answering (iQA) task into a knowledge based process. It supports dialog control, speech act recognition, planning and natural language generation through a unified knowledge model. A platform for developing iQA systems in specific domains, called REQUIRE (Robust Empirical QUestion answering for Intelligent Retrieval), has been entirely developed over this model. The first prototype developed for medical consulting in the sexual health domain has been recently deployed and is currently under testing. This will serve as a basis for exemplifying the model and discussing its benefits. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Basili, R., De Cao, D., & Giannone, C. (2007). Ontological modeling for interactive question answering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4805 LNCS, pp. 544–553). Springer Verlag. https://doi.org/10.1007/978-3-540-76888-3_77
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