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Searching for Knowledge and Data on the Semantic WebTweetStart: Friday, June 02, 2006, 11:15AM End: Friday, June 02, 2006, 11:40AM Location: Workshop on Humans and the Semantic Web Abstract: Web search engines like Google have made people "smarter" by
providing ready access to the world's knowledge whenever we
need to look up a fact, learn about a topic or evaluate
opinions. The World-Wide Web Consortium's Semantic Web effort
aims to make such knowledge more accessible to computer
programs by encoding it on the Web in machine understandable
form. The W3C has developed the "markup language" RDF and its
extension OWL as standards for expressing knowledge and data
and building a new layer of services, tools and applications
to support "semantic interoperability" in distributed systems.
As the volume of RDF encoded knowledge on the Web grows,
software agents will need their own search engines to help
them find the relevant and trustworthy knowledge required to
carry out 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 a million RDF documents.
Swoogle also serves human knowledge engineers by helping them
to find Semantic Web ontologies, terms and data and to
understand how and by whom they are being used.
Swoogle (http://swoogle.umbc.edu/) has been running at UMBC
and serving users and agents since the summer of 2004. Its
document collection currently contains about 1.4 million
documents and is growing at a rate of about 3,000 documents a
day. We will briefly describe some high level characteristics
of this collection and what is says about how the Semantic Web
is being used and abused.
Web Site: http://www.cs.umd.edu/hcil/soh/semanticweb.shtml Host: Cynthia Parr Assertions:
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