Natural Language SOA Using Dynamic Logic

Author

Perlovsky, Leonid I.

Author_Institution

Harvard Univ.

fYear

2007

fDate

April 30 2007-May 3 2007

Firstpage

58

Lastpage

62

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/KIMAS.2007.369785

Filename

4227524