Information Retrieval from Heterogeneous Knowledge Sources Based on Multi-agent System
Dominik Paweł Ryżko
This paper presents a multi-agent approach for scientific information retrieval from heterogeneous sources. An experimental platform has been built with the use of Scala language. A case study is shown demonstrating the results with the use of Google and Bing search engines and locally stored DBLP database.