Using Public Data to Fight a War. How does a technology built for apartment-hunting end up being evaluated by the U.S.
Army for use in Afghanistan? Cazoodle is using public data sources like Flickr and OpenStreetMap to build detailed guidebooks for American soldiers. Last week at Strata I sat down with company CTO Govind Kabra to find out how they do it. Its project for the Army is to build a detailed database of information about places in Afghanistan, using only public sources on the Web. The goal is to describe in detail the towns and cities including everything from names, locations and populations, as well as lists and coordinates for schools, mosques, banks and hotels.
The military already collects this sort of information, but using traditional offline sources through groups like the National Geospatial-Intelligence Agency. Origins Cazoodle was started four years ago at the University of Illinois - Urbana Champaign. An Intro To The Semantic Web: Why You Need To Know About It Sooner Than Later.
Case Studies Fusionex Read about how Fusionex, a provider of business intelligence solutions, leveraged Windows Azure HDInsight Service and Hadoop to help a customer better analyze its data, cut reporting its time from three months to less than 30 minutes, and reduce its energy consumption by 20 percent.
Mind Palette Learn how Japanese app maker Mind Palette cut database costs by 20 percent and received improved technical support by migrating its Linux servers from Amazon Web Services to Windows Azure. Data mining and data warehousing. Scalable ontological EAI and e ... Manuel sur la communication et la ... Gephi Tutorial Visualization. Open Knowledge Foundation Blog » Blog Archive » Playing around with Open Linked Data: data.totl.net. Making Connections Real.
The INSEMTIVES ISWC2010 Tutorial - 10 ways to make your semantic app addictive. Co-located with the 9th International Semantic Web Conference (ISWC 2010) 7th November, 2010, Room 3D, Shanghai, China Summary Useful semantic content cannot be created fully automatically, but motivating people to become an active part of this endeavor is still an art more than a science.
In this tutorial we will revisit fundamental design issues of semantic-content authoring technology in order to find out which incentives speak to people to become engaged with the Semantic Web, and to determine the ways they can be transferred into technology design. We will present a combination of methods from areas as diverse as community support, participation management, usability engineering, and incentives theory, which can be applied to analyze semantically enabled systems and applications and design incentivized variants thereof, as well as empirically grounded best practices which should be taken into account in order to encourage large-scale user participation.
Meditating on Perl, Python and the Semantic Web. I have been working on a project with the National Labs over the past several months.
A central element of that work has been an effort to bring much of the information and computatiom power of the Labs into a Service Oriented Architecture paradigm and the Semantic Web constructs are at the heart of that part of the work. Not being that familiar with the Semantic Web constructs, I embarked on a concerted effort to teach myself about it. Web - python semantic proxy/server, wich framework use.
Visualizing the Semantic Web (9781852335762): Vladimir Geroimenko, Chaomei Chen. Towards the Semantic Web: Ontology-Driven Knowledge Management (9780470848678): John Davies, Dieter Fensel, Frank van Harmelen. Spinning the Semantic Web: Bringing the World Wide Web to Its Full Potential (9780262062329): Dieter Fensel, Wolfgang Wahlster, Henry Lieberman, James Hendler. Quand le e-commerce rencontre le Web d'aujourd'hui. An Introduction to Linked Data. Seth Grimes's Tweet on the Sandro Hawke's video presentation caught my attention.
The presentation, entitled An Introduction to Linked Data, was recorded in June 8, 2010 at the Cambridge Semantic Web Gathering, occurred at Massachusetts Institute of Technology(MIT) in Cambridge, MA. How-to create a Linked Data site. Planète Web Sémantique. Semantic Search Gets On The Map - semanticweb.com.
Présentation du web de données. Use Google Refine to Export JSON. Henry Thompson : Are Uris really names? The Twitter data extraction begins! « Laurens goes semantic… Today I started with the implementation of the extraction package.
The package contains two models: one for the user’s profile and one for the user’s tweets. They then will be annotated in the “Annotator” module and converted into a list of simple triples in the “Triplifier” module. It is being implemented in PHP. There is a very good API: PHP Twiter with OAuth to help with this task. Extraction Package. Featured Tools and Technologies. Encyclopedia and Glossary. Présentation du web de données. Object-Oriented PHP for Beginners. For many PHP programmers, object-oriented programming is a frightening concept, full of complicated syntax and other roadblocks.
Recherche à facettes. Un article de Wikipédia, l'encyclopédie libre.
La recherche à facettes (ou recherche facettée, ou navigation à facettes) est une technique en recherche d'information correspondant à une méthodologie d'accès à l'information basée sur une classification à facettes. Elle donne aux utilisateurs les moyens de filtrer une collection de données en choisissant un ou plusieurs critères (les facettes). Il n'est donc pas tant question de recherche que de filtrage (une recherche brute, taxonomique, pouvant être utilisée en complément). Tunnel SSH, proxy HTTP [NoJhan - Site perso] Par nojhan le 3 septembre 2008 Quand on utilise des applications réseaux, il peut arriver que l’on soit bloqué par des administrateurs systèmes tatillons (et compétents, donc), qui vont bloquer tous les ports, sauf ceux du web, et faire passer le traffic dans un proxy HTTP.
Dans cet article, je détaille une des (nombreuses) méthodes possible permettant de contourner ce genre de restriction : le tunnel SSH. Configuration Le détail des commandes est donné ici pour Linux, mais la méthode en elle-même, une fois comprise, peut fonctionner pour n’importe-quelle combinaison d’OS. Imaginons que vous êtes sur un réseau local, derrière un proxy HTTP, et que vous ne pouvez théoriquement accéder à l’internet que sur les ports associés au web : 80 (HTTP) et 443 (HTTPS).
À partir du moment où vous avez accès à une machine en dehors de ce réseau, vous pouvez théoriquement accéder à ce que vous voulez sur l’internet. Le principe du tunnel. Strata Conference 2011, Day 2 Keynotes. Day 2, and after yesterday’s tutorials the conference is really getting going.
The Semantic Link Podcast RSS Feed is live! Episode 2 of The Semantic Link podcast discusses Drupal and more. MapReduce from the basics to the actually useful (in under 30 minutes) Semanticweb.com - The Voice of Semantic Web Business. When supercomputers meet the Semantic Web – Post. Easy Semantic Solution Is At Hand! – Post. Mapping Wikileaks’ Cablegate using Python, mongoDB and Gephi – Saturday, 5 Feburary 2011. Need faster machine learning? Take a set-oriented approach.
We recently faced the type of big data challenge we expect to become increasingly common: scaling up the performance of a machine learning classifier for a large set of unstructured data. Machine learning algorithms can help make sense of data by classifying, clustering and summarizing items in a data set. In general, performance has limited the opportunities to apply machine learning to understanding big or messy data sets. Developer Week in Review. Rescue teams this week uncovered the body of your faithful WIR reporter, buried under more that 50 feet of snow. A note found next to the body read: “Supplies failing. iPhone battery nearly dead. Still, must put out Week in Review.” News of the mobile: SDK edition New goodies in the mobile developer basket for both major camps this week.
The folks at Google have issued unto the masses the Android 3.0 SDK preview, which includes a platform build. Meanwhile, the third beta of iOS 4.3 has appeared. Handling RDF on Your Own System – Quick Start. One of the things that I think tends towards being a bit of an elephant in the Linked Data room is the practically difficulty of running a query that links together results from two different datastores, even if they share common identifiers. The solution – at the moment at least – seems to require grabbing a dump of both datastores, uploading them to a common datastore and then querying that… …which means you need to run your own triple store… This quick post links out the the work of two others, as much as a placeholder for myself as for anything, describing how to get started doing exactly that…
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