Summary: The Semantic Web brings with it the opportunities for users to get smarter search results, and for site owners to get more targeted traffic as users find what they really want. But these benefits don’t just magically appear. This article leads you through the aspects of both information architecture and general infrastructure you need in place to truly take advantage of this burgeoning opportunity.
This article discusses what you need to know to make your Web site part of the Semantic Web. It starts with a discussion of the problems the Semantic Web tries to solve and then moves to the technologies involved, such as Resource Description Framework (RDF), Web Ontology Language (OWL), and SPARQL Protocol and RDF Query Language (SPARQL). You’ll see how the Semantic Web is layered on top of the existing Web. It then covers some issues that you want to know about when you plan a new Web site and also gives specific examples of how to use technologies like RDFa and Microformats to enable your existing Web site to become a part of the Semantic Web.
From Merriam-Webster Online:
Main Entry: ap·er·ture (sounds like this)
Pronunciation: ‘ap-&(r)-“chur, -ch&r, -“tyur, -“tur
Etymology: Middle English, from Latin apertura, from apertus, past participle of aperire to open
1. an opening or open space : HOLE
2. a : the opening in a photographic lens that admits the light
b : the diameter of the stop in an optical system that determines the diameter of the bundle of rays traversing the instrument
c : the diameter of the objective lens or mirror of a telescope
Jim Wissner Twine and Nova Spivack, Twine, USA
Twine helps people track, discover, and share content around topics they are interested in.
Twine is built on a semantic applications platform that combines W3C standards for RDF and OWL with natural-language processing, statistical analysis and graph analysis capabilities.
Twine is developed by Radar Networks, headquartered in San Francisco. Before developing Twine, Radar Networks had worked on the CALO Cognitive agent That Learns and Organizes project, a distributed research program focused on next-generation semantically-aware machine learning applications. The Twine product was initially shown in late 2007 and early 2008 and became publicly available in October 2008.