 Status: Active project Project Description:
Swoogle (http://swoogle.umbc.edu/) is an specialized web
search engine that discovers, analyzes and indexes knowledge
encoded in semantic web documents published on the
Web. Swoogle reasons about these documents and their
constituent parts (e.g., terms, individuals, triples) and
records meaningful metadata about them. Swoogle provides
webscale semantic web data access service, which helps human
users and software systems to find relevant documents, terms
and triples, via its search and navigation services. Swoogle
also provides a customizable algorithm inspired by Google's
PageRank algorithm but adapted to the semantics and use
patterns found in semantic web documents. Swoogle currently
has indexed nearly 1.3M Semantic Web documents which contain
almost 240M triples. In addition to providing general
Semantic Web search services, Swoogle has been used by
several projects to maintain and manage specialized
collections of RDF data.
Start Date: February 2004 End Date: May 2010 Affiliated Faculty:
Anupam Joshi Students:
Li Ding, architect of swoogle 2.0 and 3.1.
Sandor Dornbush
Vishal C Doshi
Akshay Java
Krishnamurthy Koduvayur Viswanathan, Currently focussing on developing a parallel implementation of the discovery component of Swoogle.
Pranam Kolari
Rong Pan
Pavan Reddivari, architect of swoogle 1.0 Tags: semantic web, ontology, owl
There are 11 associated publications:
 Click here for a full list...
There is 1 associated resource:  Hide the list... 1. Swoogle presentation (April 04), Presentation.
Research Areas:
Semantic Web
Assertions: - (Project) Swoogleproject has a resource (Resource) Swoogle v2 poster
- (Project) Swoogleproject has a resource (Resource) Swoogle v2 poster
- (Project) Swoogle has a dataset (Resource) swoogle31_urls_2006-JAN
- (Project) Swoogle has a dataset (Resource) 10M RDF triples
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