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Linked Data - Design Issues

Linked Data - Design Issues
Up to Design Issues The Semantic Web isn't just about putting data on the web. It is about making links, so that a person or machine can explore the web of data. With linked data, when you have some of it, you can find other, related, data. Like the web of hypertext, the web of data is constructed with documents on the web. However, unlike the web of hypertext, where links are relationships anchors in hypertext documents written in HTML, for data they links between arbitrary things described by RDF,. Use URIs as names for things Use HTTP URIs so that people can look up those names. Simple. The four rules I'll refer to the steps above as rules, but they are expectations of behavior. The first rule, to identify things with URIs, is pretty much understood by most people doing semantic web technology. The second rule, to use HTTP URIs, is also widely understood. The basic format here for RDF/XML, with its popular alternative serialization N3 (or Turtle). Basic web look-up or in RDF/XML

http://www.w3.org/DesignIssues/LinkedData.html

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Standards W3C standards define an Open Web Platform for application development that has the unprecedented potential to enable developers to build rich interactive experiences, powered by vast data stores, that are available on any device. Although the boundaries of the platform continue to evolve, industry leaders speak nearly in unison about how HTML5 will be the cornerstone for this platform. But the full strength of the platform relies on many more technologies that W3C and its partners are creating, including CSS, SVG, WOFF, the Semantic Web stack, XML, and a variety of APIs.

W3C Data Activity - Building the Web of Data More and more Web applications provide a means of accessing data. From simple visualizations to sophisticated interactive tools, there is a growing reliance on the availability of data which can be “big” or “small”, of diverse origin, and in different formats; it is usually published without prior coordination with other publishers — let alone with precise modeling or common vocabularies. The Data Activity recognizes and works to overcome this diversity to facilitate potentially Web-scale data integration and processing.

The Semantic Web - on the respective Roles of XML an BibTeX Bookmark OpenURL Tools - Semantic Web Standards Overview This Wiki contains a collection of tool references that can help in developing Semantic Web applications. These include complete development environments, editors, libraries or modules for various programming languages, specialized browsers, etc. The goal is to list such tools and not Semantic Web applications in general (the interested reader may consider looking at the W3C SW Use Case Collection for those.)

RWW Tim Berners-Lee, Part 1 During my recent trip to Boston, I had the opportunity to visit MIT. At the end of a long day of meetings with various MIT tech masterminds, I made my way to the funny shaped building (see photo right-below) where the World Wide Web Consortium (W3C) and its director Tim Berners-Lee work. Berners-Lee is of course the man who invented the World Wide Web 20 years ago. This was my first meeting with the Web's creator, whose work and philosophy was a direct inspiration for me when I launched ReadWriteWeb back in 2003.1 After shaking hands, I told Tim Berners-Lee that this blog's name was in part inspired by the first browser, which he developed, called "WorldWideWeb". That was a read/write browser; meaning you could not only browse and read content, but create and edit content too.

Semantic Web History: Nodes and Arcs 1989-1999 (the WWW Proposal Initial version: 1999-11-12, Dan Brickley danbri@w3.org Revised: March 2001 Status: This is a work in progress, and an early release of the document for feedback from the RDF Interest Group.

5. Design Principles for Wayfinding Next: 6. Design Principles for Up: Designing Navigable Information Spaces Previous: 4. Design Principles for Subsections Berners-Lee: Weaving the Web Supplementary material to the book The original design and ultimate destiny of the World Wide Web, by its inventor Buy: from Amazon.com (paperback), Barnes & Noble (paperback), Booksamillion (paperback), Borders (paperback), Powells (paperback), or Wordsworth(paperback).

What is the Semantic Web really all about? The Semantic Web is based on the relatively straightforward idea that to be able to integrate (link) data on the Web we must have some mechanism for knowing what relationships hold among the data, and how that relates to some “real world” context. The following is a lot of detail that comes from this simple idea. To answer this question properly, let me start back in the early Web era. While I’m going to do some potentially boring personal history, I’ll note the key ideas as I go along. Circa 1995, my research group began playing with an idea (first proposed by my then student Sean Luke now a faculty member at GMU) that if web markup (it was all HTML back then) contained some machine readable “hints” to the computer, then we could do a better job of Web tasks like search, query, and faceted browsing.

Semantic Web roadmap Up to Design Issues A road map for the future, an architectural plan untested by anything except thought experiments. This was written as part of a requested road map for future Web design, from a level of 20,000ft. It was spun off from an Architectural overview for an area which required more elaboration than that overview could afford. Why you should start by learning data visualization and manipulation One of the biggest issues that comes up when I talk to people who want to get started learning data science is the following: I don’t know where to get started! Recently, I argued that R is the best programming language to learn when you’re getting started with data science. While this helps you select a programming language, it still doesn’t tell you what skills to focus on. Just like when you select a programming language, selecting the skills to start with can be overwhelming. Again, I want to be direct: learn data visualization first and then learn data manipulation.

A Little History of the World Wide Web See also How It All Started presentation materials from the W3C 10th Anniversary Celebration and other references. from 1945 to 1995 Vannevar Bush writes an article in Atlantic Monthly about a photo-electrical-mechanical device called a Memex, for memory extension, which could make and follow links between documents on microfiche

24 Data Science Resources to Keep Your Finger on the Pulse There are lots of resources out there to learn about, or to build upon what you already know about, data science. But where do you start? What are some of the best or most authoritative sources?

Thus, ontologies are not required. by nicolas Jul 4

1. Use URIs as names for things 2. Use HTTP URIs so that people can look up those names. 3. When someone looks up a URI, provide useful information, using the standards (RDF, SPARQL) 4. Include links to other URIs. so that they can discover more things. by nicolas Jul 4

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