\input zb-basic
\input zb-ioport
\iteman{io-port 05874752}
\itemau{Dardzinska, Agnieszka}
\itemti{Query answering driven by collaborating agents.}
\itemso{Kim, Tai-hoon (ed.) et al., Communication and networking. International conference, FGCN 2010, held as part of the future generation information technology conference, FGIT 2010, Jeju Island, Korea, December 13--15, 2010. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-17603-6/pbk; 978-3-642-17604-3/ebook). Communications in Computer and Information Science 120, 22-30 (2010).}
\itemab
Summary: We assume that there is a group of collaborating agents where each agent is defined as an Information System coupled with a Query Answering System (QAS). Values of attributes in an information system S form atomic expressions of a language used by the agent associated with S to communicate with other agents. Collaboration among agents is initiated when one of the agent's, say the one associated with S and called a client, is asked by user to resolve a query containing nonlocal attributes for S. Then, the client will ask for help other agents to have that query answered. As the result of this request, knowledge in the form of defnitions of locally foreign attribute values for S is extracted at information systems representing other agents and sent to the client. The outcome of this step is a knowledge-base KB created at the client site and used to answer the query. In this paper we present a method of identifying which agents are semantically the closest to S and show that the precision and recall of QAS is getting increased when only these agents are ask for help by the client.
\itemrv{~}
\itemcc{}
\itemut{query; information system; agent; knowledge base}
\itemli{doi:10.1007/978-3-642-17604-3\_3}
\end