Natural Language SOA Using Dynamic Logic

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