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Semantic Web

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Semantic Web Patterns: A Guide to Semantic Technologies. In this article, we'll analyze the trends and technologies that power the Semantic Web.

Semantic Web Patterns: A Guide to Semantic Technologies

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. Not only are the bits of infrastructure now in place, but we are also seeing startups and larger corporations working hard to deliver end user value on top of this sophisticated set of technologies. The Semantic Web means many things to different people, because there are a lot of pieces to it.

The disagreement is not accidental, because the technology and concepts are broad. 1. We have written a lot about the different approaches to the Semantic Web - the classic bottom-up approach and the new top-down one. 2. 3. 4. 5. 6. 7. Conclusion. 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.

Top-Down: A New Approach to the Semantic Web

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. But there are alternative approaches. Why Do We Need The Semantic Web? Stated the way it is, the semantic web becomes a vision in search of a reason. Conclusion. 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).[1] The standard promotes common data formats on the World Wide Web.

Semantic 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).[2] According to the W3C, "The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. While its critics have questioned its feasibility, proponents argue that applications in industry, biology and human sciences research have already proven the validity of the original concept.

Semantic MediaWiki. 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.

Ontology Tools Survey, Revisited

The results of the survey are summarized in this article. The results of the original survey may be found at Ontologies are a way of specifying the structure of domain knowledge in a formal logic designed for machine processing. The effect on information technology (IT) is to shift the burden of capturing the meaning of data content from the procedural operations of algorithms and rules to the representation of the data itself. Opening the International Semantic Web Conference in 2003, the conference chair Jim Hendler declared that "a little semantics goes a long way. " For such reasons, there is a growing sense among researchers and practitioners that ontologies will play an important role in forthcoming information-management solutions. State of Ontologies Practical ontology languages are being adopted.

Building an Ontology. DiSo Project. SOBOLEO.

W3C Stuff

RDF. Linked Data. Microformats. Tim Berners-Lee.