Chapter 11
Semantic Integration: The Hawkeye Approach
Book Editor(s):Phillip C.-Y. Sheu,
Heather Yu,
C. V. Ramamoorthy,
Arvind K. Joshi,
Lotfi A. Zadeh,
Phillip C.-Y. Sheu
University of California, Irvine, California, USA
Search for more papers by this authorHeather Yu
Search for more papers by this authorC. V. Ramamoorthy
Search for more papers by this authorArvind K. Joshi
Search for more papers by this authorLotfi A. Zadeh
Search for more papers by this authorFirst published: 19 April 2010
Summary
This chapter approaches to semantic integration and then present the Hawkeye knowledge base, in which it loaded more than 166 million facts from a diverse set of real - world data sources. In order to support Hawkeye, the chapter extended our DLDB knowledge base system with additional reasoning capabilities. DLDB is a system that, given sufficient OWL descriptions, can answer queries that span heterogeneous data sources. This chapter use the Hawkeye knowledge base to demonstrate realistic integration queries in e - government and academic scenarios. It presents a system that uses a declarative approach based on ontologies to integrate Web sources and provides a uniform view of the Web. The chapter focus on two main objectives. First, to evaluates the new reasoning capabilities of DLDB. Second, to demonstrate the ability to answer realistic queries in the semantic Web from distributed and heterogeneous data sources.
Controlled Vocabulary Terms
deductive databases; semantic Web
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