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RDF-Gravity

RDF-Gravity
Sunil Goyal, Rupert Westenthaler {sgoyal, rwestenthaler}@salzburgresearch.at Salzburg Research, Austria RDF Gravity is a tool for visualising RDF/OWL Graphs/ ontologies. Its main features are: Graph VisualizationGlobal and Local Filters (enabling specific views on a graph) Full text SearchGenerating views from RDQL QueriesVisualising multiple RDF files RDF Gravity is implemented by using the JUNG Graph API and Jena semantic web toolkit. Figure 1: Screenshot of RDF-Gravity, showing a part of Wine Ontology 1 Graph Visualisation RDF Gravity defines a visualization package on top of the JUNG Graph API. Configurable renderers for edges and nodes of a graph, including different node shapes and edge decorations etc.A Renderer Factory allowing the configuration of the above node and edge renderers based on the type of an edge or node. For graph layout, it uses the layout algorithms directly supported by the Jung API. 2 Global & Local Filters 3 Full Text Search 4 Visualising Multiple RDF Files

New York Times - Linked Open Data QuickGraph, Graph Data Structures And Algorithms for .Net - Home 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

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. 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

yEd - Graph Editor yEd is a powerful desktop application that can be used to quickly and effectively generate high-quality diagrams. Create diagrams manually, or import your external data for analysis. Our automatic layout algorithms arrange even large data sets with just the press of a button. yEd is freely available and runs on all major platforms: Windows, Unix/Linux, and Mac OS X. The latest release is version 3.12.2 Key Features Import your own data from an Excel® spreadsheet (.xls) or XML Create diagrams with easevia an intuitive user interface. Automatically arrangeyour diagram elements. Export bitmap and vector graphicsas PNG, JPG, SVG, PDF, SWF yEd in 90 seconds Supported Diagrams yEd supports a wide variety of diagram types. Support Resources The yEd online support resources include the yEd Graph Editor manual and the yEd forum where you can give us feedback.

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

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.

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. Graph Visualization Linkurio.us Neo4j Graph Visualization Neo4j Partner Linkurious helps you make sense of your graph data through a simple web-based interface based on an open-source back-end that connects to your Neo4j Database. Connect Our Open Source backend indexes your graph so you can connect with it on Linkurious and get started in minutes. Search Typing any keyword in the search bar brings up all the related data in one step. Explore By focusing on the items related to your search, visualizing and exploring your graph has never been easier.

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

Tutoriel : créer un graphique géographique avec Google Drive Continuons à découvrir les fonctionnalités proposées par Google Drive. Les feuilles de calcul permettent de créer tout type de graphique comme dans Excel. La nouveauté réside dans la possibilité de réaliser un graphique dit géographique, c’est-à-dire de mettre en place une carte d’une région, d’un continent ou d’un pays à partir de données présentes dans une feuille de calcul. Les données sont représentées sous forme de surface (ex : un pays) et non en tant que point (ex : une ville). Ce graphique permet d’afficher une carte de données représentées par des couleurs. La dernière version de Google Map nommée Maps Engine Lite permet cependant de faire apparaître une liste de points à partir d’adresses sur une carte. Créer la feuille de calcul contenant les données La première étape consiste à créer une nouvelle feuille de calcul dans Google Drive. Indiquer ensuite les données chiffrées correspondant à chaque pays. Voici un exemple de données correctement formatées :

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