Semantic Search Engines Based on Data Integration Systems

Semantic Search Engines Based on Data Integration Systems

D. Beneventano (Università degli Studi di Modena e Reggio Emilia, Italy)
Copyright: © 2007 |Pages: 26
DOI: 10.4018/978-1-59904-045-5.ch013
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Abstract

As the use of the World Wide Web has become increasingly widespread, the business of commercial search engines has become a vital and lucrative part of the Web. Search engines are common place tools for virtually every user of the Internet; and companies, such as Google and Yahoo!, have become household names. Semantic search engines try to augment and improve traditional Web Search Engines by using not just words, but concepts and logical relationships. In this chapter a relevant class of semantic search engines, based on a peer-to-peer, data integration mediator-based architecture is described. The architectural and functional features are presented with respect to two projects, SEWASIE and WISDOM, involving the authors. The methodology to create a two level ontology and query processing in the SEWASIE project are fully described.

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