TaskForces/CommunityProjects/LinkingOpenData/SemanticWebSearchEngines - W3C Wiki (original) (raw)
Semantic Web Search Engines
This page collects links to Semantic Web Search Engines. Semantic Web Search Engines use robots to crawl RDF data from the Web and provide search and navigation facilities over crawled data.
The page is part of the community project SweoIG/TaskForces/CommunityProjects/LinkingOpenData
Semantic Web Search Engines
- <sameAs.org> A search service that sits firmly in the Linked Data world - put in a Linked Data URI, and get back equivalent URIs.
- LOD Cloud Cache, traditional full text search and Linked Data oriented structured queries that works against an instance of a Virtuoso hosting a large LOD Data Set Collection (provided by OpenLink).
- Sig.ma, search interface based on Sindice, doing schema mapping and providing for quality-based information filtering.
- VisiNav, drag-and-drop query interface to the SWSE index.
- Falcons developed by Websoft, Nanjing University, China.
- Falcons Explorer, tabular and relational interface based on Falcons.
- Sindice developed by DERI Ireland, currently indexes over 20 million RDF documents. See also their ISWC2007 paper Sindice.com: Weaving the Open Linked Data
- Watson developed by KMi, UK. See also the list of papers and presentations about Watson
- Yahoo! MicroSearch Search engine over RDF, RDFa and Microformats crawled from the Web. See also Documentation
- Semantic Web Search Engine (SWSE). Developed by DERI Ireland. See also their paper MultiCrawler: A Pipelined Architecture for Crawling and Indexing Semantic Web Data.
- Swoogle. Developed by ebiquity group at UMBC USA, currently indexes 2.3 million RDF documents. See also their papers about Swoogle
- Semantic Web Search developed by Intellidimension Inc.
- Uriqr developed by KMi, UK (currently unavailable; not dead, just hibernating - TomHeath, 2007-11-06)
- Semantic Web Crawling: a Sitemap Extension. The sitemap extension allows Data publishers can state where RDF is located and which alternative means are provided to access it (Linked Data, SPARQL endpoint, RDF dump). Semantic Web clients and Semantic Web crawlers can use this information to access RDF data in the most efficient way for the task they have to perform.
Related Publications, Blog Posts and Websites
- Gong Cheng, Weiyi Ge, Honghan Wu and Yuzhong Qu: Searching Semantic Web Objects Based on Class Hierarchies, LDOW 2008.
- Kyumars Sheykh Esmaili, Hassan Abolhassani: A Categorization Scheme for Semantic Web Search Engines