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swoogle.umbc/

Swoogle Search. CGI scripts. SWOs. Video files. HTML documents. Audio files. SWIs. Images. SWD = SWO + SWI. SWOOGLE 2. Ontology Dictionary. Human users.

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swoogle.umbc/

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  1. Swoogle Search CGI scripts SWOs Videofiles HTML documents Audiofiles SWIs Images SWD = SWO + SWI SWOOGLE 2 Ontology Dictionary Human users The web, like Gaul, is divided into three parts: the regular web (e.g. HTML), Seman- tic Web Ontologies (SWOs), and Semantic Web Instance files (SWIs) Web Server SwoogleStatistics OntologyDictionary SwoogleSearch Web Service Intelligent Agents service IR analyzer SWD analyzer analysis SWD Cache SWD Metadata digest SWD Reader The Web Candidate URLs SWD Rank Web Crawler Swoogle Statistics discovery A SWD’s rank is a function of its type (SWO/SWI) and the rank and types of the documents to which it’s related. Swoogle uses four kinds of crawlers to discover semantic web documents and several analysis agents to compute metadata and relations among documents and ontologies. Metadata is stored in a relational DBMS. Services are provided to people and agents. http://swoogle.umbc.edu/ Statistics as of November 2004 SWD IR Engine Swoogle provides services to people via a web interface and to agents as web services. Swoogle puts documents into a character n-gram based IR engine to compute document similarity and do retrieval from queries Contributors include Tim Finin, Anupam Joshi, Yun Peng, R. Scott Cost, Jim Mayfield, Joel Sachs, Pavan Reddivari, Vishal Doshi, Rong Pan, Li Ding, and Drew Ogle. Partial research support was provided by DARPA contract F30602-00-0591 and by NSF by awards NSF-ITR-IIS-0326460 and NSF-ITR-IDM-0219649. November 2004.

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