Characterizing the Semantic Web on the Web Export

@incollection{citeulike:3995486, abstract = {Semantic Web languages are being used to represent, encode and exchange semantic data in many contexts beyond the Web – in databases, multiagent systems, mobile computing, and ad hoc networking environments. The core paradigm, however, remains what we call the Web aspect of the Semantic Web – its use by independent and distributed agents who publish and consume data on the World Wide Web. To better understand this central use case, we have harvested and analyzed a collection of Semantic Web documents from an estimated ten million available on the Web. Using a corpus of more than 1.7 million documents comprising over 300 million RDF triples, we describe a number of global metrics, properties and usage patterns. Most of the metrics, such as the size of Semantic Web documents and the use frequency of Semantic Web terms, were found to follow a power law distribution.}, author = {Ding, Li and Finin, Tim}, citeulike-article-id = {3995486}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/11926078_18}, citeulike-linkout-1 = {http://www.springerlink.com/content/4456127km642037t}, doi = {10.1007/11926078_18}, journal = {The Semantic Web - ISWC 2006}, keywords = {web\_30}, pages = {242--257}, posted-at = {2009-05-26 23:00:20}, priority = {2}, title = {Characterizing the Semantic Web on the Web}, url = {http://dx.doi.org/10.1007/11926078_18}, year = {2006} }

TY - CHAP ID - citeulike:3995486 L3 - citeulike-article-id:3995486 N2 - Semantic Web languages are being used to represent, encode and exchange semantic data in many contexts beyond the Web – in databases, multiagent systems, mobile computing, and ad hoc networking environments. The core paradigm, however, remains what we call the Web aspect of the Semantic Web – its use by independent and distributed agents who publish and consume data on the World Wide Web. To better understand this central use case, we have harvested and analyzed a collection of Semantic Web documents from an estimated ten million available on the Web. Using a corpus of more than 1.7 million documents comprising over 300 million RDF triples, we describe a number of global metrics, properties and usage patterns. Most of the metrics, such as the size of Semantic Web documents and the use frequency of Semantic Web terms, were found to follow a power law distribution. JF - The Semantic Web - ISWC 2006 EP - 257 TI - Characterizing the Semantic Web on the Web SP - 242 KW - web_30 AU - Ding, Li AU - Finin, Tim PY - 2006/// UR - http://dx.doi.org/10.1007/11926078_18 ER -