Copyright © 2007 American Association for Artificial Intelligence (www.aaai.org). All rights reserved. Finding Data, Knowledge, and Answers on the Semantic Web

Web search engines like Google have made us all smarter by providing ready access to the world's knowledge when-ever we need to look up a fact, learn about a topic or evaluate opinions. The W3C's Semantic Web effort aims to make such knowledge more accessible to computer pro-grams by publishing it in machine understandable form. As the volume of Semantic Web data grows, software agents will need their own search engines to help them find the relevant and trustworthy knowledge they need to perform their tasks. We will discuss the general issues underlying the indexing and retrieval of RDF-based information and describe Swoogle, a crawler based search engine whose index contains information on over two million RDF docu-ments, and Tripleshop, which uses Swoogle to automati-cally build datasets appropriate for responding to user sup-plied queries. We will illustrate their use in ELVIS (Eco-system Location Visualization and Information System), a distributed platform for constructing end-to-end use cases that demonstrate the semantic web's utility for integrating scientific data