Title :
Natural Language SOA Using Dynamic Logic
Author :
Perlovsky, Leonid I.
Author_Institution :
Harvard Univ.
fDate :
April 30 2007-May 3 2007
Abstract :
The paper addresses adaptive learning of language in service oriented architecture from its human users. This is an unsolved problem in existing search engines, such as Yahoo and Google. An algorithm based on dynamic logic is described, which learns phrases from SOA human users. Extensions to the entire language acquisition are discussed. Results could be used to build more efficient search engines that would not depend on users´ knowing exact terminology. The ontology SOA structure could be made adaptive, learning from constantly changing user needs and practices
Keywords :
formal logic; linguistics; natural languages; search engines; software architecture; adaptive language learning; dynamic logic; language acquisition; natural language; ontology service oriented architectures; search engines; terminology; Cognition; Humans; Logic; Natural languages; Pattern recognition; Search engines; Semiconductor optical amplifiers; Service oriented architecture; Speech; Terminology; dynamic logic; language acquisition; mind; search engines; service oriented architectures;
Conference_Titel :
Integration of Knowledge Intensive Multi-Agent Systems, 2007. KIMAS 2007. International Conference on
Conference_Location :
Waltham, MA
Print_ISBN :
1-4244-0944-6
Electronic_ISBN :
1-4244-0945-4
DOI :
10.1109/KIMAS.2007.369785
