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There is a new version of Swoogle, a crawler-based indexing and retrieval service for the semantic web, that is available at http://swoogle.umbc.edu/. Swoogle has cataloged over 150K semantic web documents and indexed metadata about their classes, properties and individuals as well as the relationships among them. Swoogle also defines a ranking property for semantic web documents similar to pageRank and uses this to help sort search results.
Swoogle is a crawler-based indexing and retrieval system for the Semantic Web -- RDF and OWL documents encoded in XML or N3. Swoogle extracts metadata for each discovered document, and computes relations between documents. Discovered documents are also indexed by an information retrieval system which can use either character N-Gram or URIrefs as keywords to find relevant documents and to compute the similarity among a set of documents. One of the interesting properties we compute is ontology rank, a measure of the importance of a Semantic Web document.
Swoogle"s database does not currently store all of the content of the semantic web documents it has discover, but rather stores extensive metadata about the doucments and the terms and individuals they define and use. This is analygous to the information that an information retirval system keeps about the documents in its collection. Google, for example, does not leep the entire contents of a document in its index, but rather the words used in a document along with measures of their frequency. For semantic web documents, however, there is much more metadata that can be easily computed about a document, the terms it defines and uses, and the relationships it has to other documents.
For example, using Swoogle, one can find all of the documents that use a particular property or class, or ...
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