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The Semantic Web: An Introduction

The Semantic Web: An Introduction
This document is designed as being a simple but comprehensive introductory publication for anybody trying to get into the Semantic Web: from beginners through to long time hackers. Recommended pre-reading: the Semantic Web in Breadth. Table Of Contents What Is The Semantic Web? The Semantic Web is a mesh of information linked up in such a way as to be easily processable by machines, on a global scale. You can think of it as being an efficient way of representing data on the World Wide Web, or as a globally linked database. The Semantic Web was thought up by Tim Berners-Lee, inventor of the WWW, URIs, HTTP, and HTML. What's the rationale for such a system? So the Semantic Web can be seen as a huge engineering solution... but it is more than that. URI - Uniform Resource Identifier A URI is simply a Web identifier: like the strings starting with "http:" or "ftp:" that you often find on the World Wide Web. RDF - Resource Description Framework A triple can simply be described as three URIs. < .

http://infomesh.net/2001/swintro/

Related:  RDF & the Semantic Web

RDF - Semantic Web Standards Overview RDF is a standard model for data interchange on the Web. RDF has features that facilitate data merging even if the underlying schemas differ, and it specifically supports the evolution of schemas over time without requiring all the data consumers to be changed. RDF extends the linking structure of the Web to use URIs to name the relationship between things as well as the two ends of the link (this is usually referred to as a “triple”). The original proposal of the WWW, HTMLized A hand conversion to HTML of the original MacWord (or Word for Mac?) document written in March 1989 and later redistributed unchanged apart from the date added in May 1990. Provided for historical interest only.

URL vs. URI vs. URN: The Confusion Continues A year has passsed since my last post on URIs and URLs and it would seem that some of the concepts are still lost on some folks. With that said, I figured I’d throw up another post that I could try and address some of the questions raised in the comments of both posts. URLs and URNs are both URIs

RDFizers RDFizers glossary definition:=The RDFizer project is directory of tools for converting various data formats into RDF. In addition we provide a home for some of these tools. What can I do with these? You can have a computer generate the RDF representation of your data for you, instead of you doing it by hand. The Pitfalls of Prediction Prognostication is a multi-billion dollar industry. We have weathermen, Wall Street Analysts, political pundits and futurologists. They all claim some expertise. These people exist because there is strong demand for their services.

Heart Attack: Detecting Heartbleed Exploits in Real-Time The OpenSSL Heartbleed vulnerability is proving to be one of the bigger vulnerabilities the security community has seen. As vendors and administrators scramble to patch their systems and users struggle to identify what sites are safe to use, hackers are taking full advantage of the vulnerability. Tripwire’s VERT team has quickly deployed the most robust coverage for detecting the vulnerability through IP360, PureCloud and SecureScan. What if we also want to monitor and be able to identify when the exploit is being used against us? Using a combination of an IDS and Tripwire Log Center allows us to do just that. Heartbleed & Honeypot What Is RDF? Joshua Tauberer July 26, 2006 Editor's Note: "What Is RDF" was originally written by Tim Bray in 1998 and updated by Dan Brickley in 2001. Recently it seemed like time for another update, particularly to relate RDF and the Semantic Web to the cutting edge of web development.

How two scientists are using the New York Times archives to predict the future ? Tech News and Analysis Researchers at Microsoft and the Technion-Israel Institute of Technology are creating software that analyzes 22 years of New York Times archives, Wikipedia and about 90 other web resources to predict future disease outbreaks, riots and deaths — and hopefully prevent them. The new research is the latest in a number of similar initiatives that seek to mine web data to predict all kinds of events. Recorded Future, for instance, analyzes news, blogs and social media to “help identify predictive signals” for a variety of industries, including financial services and defense.

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