Abstract

Most of the work on the Semantic Web and more broadly Information Integration assumes that accurate semantic models of sources exist. In practice, although there is a tremendous amount of data available on the Web, there is rarely any semantic description of the sources and the information provided by them. This project will develop a new approach that addresses the problem of automatically discovering and modeling sources by building on the recent development of Linked Open Data within the Semantic Web. The resulting system will be able to learn about any source where there is background knowledge in the Linked Open Data. This work will be a significant advance over what was done previously since it will allow an intelligent system to expand its knowledge to learn models of sources that cover information for which the system has no known sources. The system will start with all of the data and …

Date

January 1, 1970

Authors

Craig A Knoblock

Journal

NSF Award Number 1117913. Directorate for Computer and Information Science and Engineering

Volume

11

Issue

1117913

Pages

17913