subject predicate object context
19296 Creator c9aa7f2e582d191ed728ad414c5ea711
19296 Creator 17f4a1780780bf796f13021f5f1702bd
19296 Date 2004
19296 Is Part Of p03029743
19296 Is Part Of repository
19296 abstract This paper describes AQUA, an experimental question answering system. AQUA combines Natural Language Processing (NLP), Ontologies, Logic, and Information Retrieval technologies in a uniform framework. AQUA makes intensive use of an ontology in several parts of the question answering system. The ontology is used in the refinement of the initial query, the reasoning process, and in the novel similarity algorithm. The similarity algorithm, is a key feature of AQUA. It is used to find similarities between relations used in the translated query and relations in the ontological structures.
19296 authorList authors
19296 editorList editors
19296 issue 2004
19296 presentedAt ext-eb3b3ba71cb60e9cfe451385b5236812
19296 status peerReviewed
19296 volume 2972
19296 type AcademicArticle
19296 type Article
19296 label Vargas-Vera, Maria and Motta, Enrico (2004). AQUA - Ontology-based question answering system. In: MICAI 2004: Advances in Artificial Intelligence (Monroy, Ra´ul; Arroyo-Figueroa, Gustavo; Sucar, Luis Enrique and Sossa, Humberto eds.), Lecture Notes in Computer Science, Springer, Berlin, pp. 468–477.
19296 label Vargas-Vera, Maria and Motta, Enrico (2004). AQUA - Ontology-based question answering system. In: MICAI 2004: Advances in Artificial Intelligence (Monroy, Ra´ul; Arroyo-Figueroa, Gustavo; Sucar, Luis Enrique and Sossa, Humberto eds.), Lecture Notes in Computer Science, Springer, Berlin, pp. 468–477.
19296 Publisher ext-1c5ddec173ca8cdfba8b274309638579
19296 Title AQUA - Ontology-based question answering system
19296 in dataset oro