New York Times - Linked Open Data QuickGraph, Graph Data Structures And Algorithms for .Net - Home 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. But there are alternative approaches. In this post, we will look at the solution that we call the top-down approach to the semantic web, because instead of requiring developers to change or augment the web, this approach leverages and builds on top of current web as-is. Why Do We Need The Semantic Web? Conclusion
Graph Theory Tutorials Chris K. Caldwell (C) 1995 This is the home page for a series of short interactive tutorials introducing the basic concepts of graph theory. There is not a great deal of theory here, we will just teach you enough to wet your appetite for more! Most of the pages of this tutorial require that you pass a quiz before continuing to the next page. Introduction to Graph Theory (6 pages) Starting with three motivating problems, this tutorial introduces the definition of graph along with the related terms: vertex (or node), edge (or arc), loop, degree, adjacent, path, circuit, planar, connected and component. Euler Circuits and Paths Beginning with the Königsberg bridge problem we introduce the Euler paths. Coloring Problems (6 pages) How many colors does it take to color a map so that no two countries that share a common border have the same color? Adjacency Matrices (Not yet available.) How do we represent a graph on a computer? Chris Caldwell caldwell@utm.edu
Exhibit 3.0 Project Getting Involved Join us on IRC on freenode or browse the SIMILE Widgets mailing list archives to ask questions about Exhibit. Chances are others may have similar questions, and the list is a great place to share answers. Background The Exhibit 3 project was supported by the Library of Congress. Exhibit 3.0 development work proceeds from the proposed architecture (PDF) released in early 2011. Demos Exhibit 3.0: What's New? Exhibit 3.0 is available for community input. Exhibit 3.0 Scripted (client-side) Exhibit 3.0 Staged Beta 2(client/server): Scalability: Browse hundreds of thousands of records Persistence: Pick up where you left off browsing an Exhibit Export data in HTML + RDFa format Community Involvement Developers in the community are encouraged to contribute code. We also encourage all members of the Exhibit community to share their ideas, suggestions, documentation, examples, and contributions in any other way you can think of!
Ubigraph: Free dynamic graph visualization software UbiGraph is a tool for visualizing dynamic graphs. The basic version is free, and talks to Python, Ruby, PHP, Java, C, C++, C#, Haskell, and OCaml. Download Version alpha-0.2.4 Version alpha-0.2.4 is distributed as two separate components. Download now ➠ Watch demonstrations The demonstrations on our Demos page illustrate the underlying technologies and some example applications. Watch demos ➠ Applications Algorithm Visualization UbiGraph can be used to visualize and debug complex algorithms and data structures... Ad Hoc Networks UbiGraph's ability to visualize dynamic, distributed graphs makes it ideal for visualizing wireless ad hoc networks, in which the network connectivity is changing. Real-time profiling Discover the hotspots in your program through a visual profile that shows where time is being spent in your program, as you interact with it. Epidemiology Visualize the spread of a disease through a social network... Mailing list Get notified of new releases. The Technology
GUESS: The Graph Exploration System, Download Download If you would just like to run GUESS you have the option: Version 1.0.3-beta Install the latest beta (08/13/2007). This does not come with an installer, but has many more features. I am working on a general installer for all systems, but please let me know if you have any problems installing in the meantime. You will want to read the README.TXT and tutorial/walk through in the manual. Source GUESS is distributed under a GPL license. Watch_Dogs WeAreData In the video game Watch_Dogs, the city of Chicago is run by a Central Operating System (CTOS). This system uses data to manage the entire city and to solve complex problems,such as traffic,crime, power distribution and more... This is not fiction anymore. Watch_Dogs WeareData is the first website to gather publicly available data about Paris, London and Berlin, in one location. What you will discover here are only facts and reality. Watch_Dogs WeareData gathers available geolocated data in a non-exhaustive way: we only display the information for which we have been given the authorization by the sources.
Gellish Gellish is a formal language that is natural language independent, although its concepts have 'names' and definitions in various natural languages. Any natural language variant, such as Gellish Formal English is a controlled natural language. Information and knowledge can be expressed in such a way that it is computer-interpretable, as well as system-independent and natural language independent. Etymologically speaking, "Gellish" is originally derived from "Generic Engineering Language." Overview[edit] Gellish is intended for the expression of facts (statements), queries, answers, etc. In principle, for every natural language there is a Gellish variant that is specific for that language. A full Gellish Message Table requires additional columns for unique identifiers, the intention of the expression, the language of the expression, cardinalities, unit of measure, the validity context, status, creation date, author, references, and various other columns. Models about individual things.
Graphs and Dijkstra algorithm I wrote this article in order to share the source-code of a basic implementation of the the Dijkstra's algorithm. Readers after full-featured, industrial-strength Java implementations of Dijkstra's shortest path algorithm should look into JGL and JDSL, among others (Thanks to Renaud Waldura for the links taken from his article). Important : Update from the 04/03/2004 : there was a bug in the PriorityQueue class which was generated inaccurate results. I'd like to thank Olivier Daroux for telling me about the problem and fixing it. I have updated the source-code and it is available for download. back to Top If you are not familiar with graph theory, I suggest you to read a bit of literature about it see Links. What is a weighted directed graph ? The Dijkstra's algorithm Definition The Dijkstra's algorithm is used to find the shortest paths from a single source vertex to all other vertices in a weighted, directed graph. Implementation in java Let's define the following data structures : Tests
Psychedelic Spirit Paintings, Alex Grey Art Gallery Karma Jello Cannabis, Psychedelics, Comedians, Astronomy, Philosophy, Photography, Art, MMA Karma Jello » Culture » Art » Psychedelic Spirit Paintings, Alex Grey Art Gallery Psychedelic Spirit Paintings, Alex Grey Art Gallery POSTED BY JAMES HSU | Art, Psychedelics Share on facebookShare on twitterShare on pinterest_shareShare on stumbleuponShare on google_plusone_shareShare on emailMore Sharing Services Alex Grey’s paintings can be described as a blend of sacred, visionary art and psychedelic art. He is best known for his paintings of glowing anatomical human bodies, images that “x-ray” the multiple layers of reality. Origin of Language – Alex Grey Albert Hoffman, LSD – Alex Grey Union of Human and Divine Consciousness – Alex Grey Arist Hand – Alex Grey Cannabacchus – Alex Grey Cannabia – Alex Grey Collective Consciousness – Alex Grey Cosmic Christ – Alex Grey Kissing – Alex Grey DMT – Alex Grey LSD Bicycle Day – Alex Grey, Mars 1 Ayahuasca – Alex Grey Gaia – Alex Grey Related Posts Today Week Month All
Why the Semantic Web Will Fail Don't get too excited by the title. But I do want to share a few thoughts... It was running through my head just now, the work that we were doing here in Moncton to work on an e-learning cluster. Because I saw that 'cluster building' is still one of the major pillars of NRC's strategy, and I was wondering whether our work would ever be a part of that again. And I was thinking about some of the things that didn't go so well in our first few years. Some companies went under - a couple, before we even talked to them, another, after we were in a project with them. And they weren't interested. And I thought about where we're right today and where we might be wrong, and why. And I'm saying the semantic web won't work. But how do you explain that intuition? And I was thinking about the edgy things of Web 2.0, and where they're working, and more importantly, where they're beginning to show some cracks. A few of key things today: - the rumour that Google is turning off the search API Not a chance.
Large-scale RDF Graph Visualization Tools AI3 Assembles 26 Candidate Tools The pending UMBEL subject concept “backbone” ontology will involve literally thousands of concepts. In order to manage and view such a large structure, a concerted effort to find suitable graph visualization software was mounted. A subsequent post will present the surprise winner of our evaluation. Starting Resources See Various Example Visualizations For grins, you may also like to see various example visualizations, most with a large-graph bent: Software Options Here is the listing of 26 candidate graph visualization programs assembled to date: Cytoscape – this tool, based on GINY and Piccolo (see below), is under active use by the bioinformatics community and highly recommended by Bio2RDF.org GINY implements a very innovative system for sub-graphing and allows for stunning visuals. headline: Large-scale RDF Graph Visualization Tools alternativeHeadline: author: Mike Bergman image: description: articleBody: see above
Google Uses Artificial Brains to Teach Its Data Centers How to Behave | Enterprise A central cooling plant in Google’s Douglas County, Georgia data center. Photo: Google/Connie Zhou At Google, artificial intelligence isn’t just a means of building cars that drive on their own, smartphone services that respond to the spoken word, and online search engines that instantly recognize digital images. According to Joe Kava, the man who oversees the design and operation of Google’s worldwide network of data centers, the web giant is now using artificial neural networks to analyze how these enormous computing centers behave, and then hone their operation accordingly. The effort is part of recent resurgence in artificial intelligence that spans not only Google but Facebook, Microsoft, IBM, and countless other tech outfits. Google is now using artificial neural networks to analyze the way its data centers behave, and then hone them accordingly. Google’s data center project is the brainchild of a young engineer named Jim Gao.