Semantic Web Patterns: A Guide to Semantic Technologies. In this article, we'll analyze the trends and technologies that power the Semantic Web.
We'll identify patterns that are beginning to emerge, classify the different trends, and peak into what the future holds. In a recent interview Tim Berners-Lee pointed out that the infrastructure to power the Semantic Web is already here. ReadWriteWeb's founder, Richard MacManus, even picked it to be the number one trend in 2008. And rightly so. Top-Down: A New Approach to the Semantic Web. Earlier this week we wrote about the classic approach to the semantic web and the difficulties with that approach.
While the original vision of the layer on top of the current web, which annotates information in a way that is "understandable" by computers, is compelling; there are technical, scientific and business issues that have been difficult to address. One of the technical difficulties that we outlined was the bottom-up nature of the classic semantic web approach. Specifically, each web site needs to annotate information in RDF, OWL, etc. in order for computers to be able to "understand" it. As things stand today, there is little reason for web site owners to do that. The tools that would leverage the annotated information do not exist and there has not been any clearly articulated business and consumer value. Planète Web Sémantique. Semantic Web. W3C's Semantic Web logo The Semantic Web is a collaborative movement led by international standards body the World Wide Web Consortium (W3C). The standard promotes common data formats on the World Wide Web.
By encouraging the inclusion of semantic content in web pages, the Semantic Web aims at converting the current web, dominated by unstructured and semi-structured documents into a "web of data". The Semantic Web stack builds on the W3C's Resource Description Framework (RDF). Semantic MediaWiki. DBpedia. DBpedia is a crowd-sourced community effort to extract structured information from Wikipedia and make this information available on the Web.
DBpedia allows you to ask sophisticated queries against Wikipedia, and to link the different data sets on the Web to Wikipedia data. We hope that this work will make it easier for the huge amount of information in Wikipedia to be used in some new interesting ways. Semanticweb.org. The Protégé Ontology Editor and Knowledge Acquisition System. Ontology Tools Survey, Revisited. July 14, 2004 A new survey of ontology editors was conducted as a follow-up to an initial survey conducted in 2002.
The results of the survey are summarized in this article. The results of the original survey may be found at www.xml.com/pub/a/2002/11/06/ontologies.html. DiSo Project. SOBOLEO.