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.
Refining UMBEL’s Linking and Mapping Predicates with Wikipedia We are only days away from releasing the first commercial version 1.00 of UMBEL (Upper Mapping and Binding Exchange Layer) .
To recap, UMBEL has two purposes, both aimed to promote the interoperability of Web-accessible content. First, it provides a general vocabulary of classes and predicates for describing domain ontologies and external datasets. Second, UMBEL is a coherent framework of 28,000 broad subjects and topics (the “reference concepts”), which can act as binding nodes for mapping relevant content.
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.
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. 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. Sandro works at World Wide Web Consortium, an international community where Member organizations, a full-time staff, and the public work together to develop Web standards. 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 I started with the User Profile Model. Grabbed data from Twitter with PHP and converted to HTML The next step is to convert this table into triples. Grabbed data from Twitter with PHP and converted to triples viewed as HTML table. Featured Tools and Technologies. Encyclopedia and Glossary.
Présentation du web de données. Object-Oriented PHP for Beginners. Twice a month, we revisit some of our readers’ favorite posts from through out the history of Nettuts+.
This tutorial was first published in July, 2010. For many PHP programmers, object-oriented programming is a frightening concept, full of complicated syntax and other roadblocks. As detailed in my book, Pro PHP and jQuery, you'll learn the concepts behind object-oriented programming (OOP), a style of coding in which related actions are grouped into classes to aid in creating more-compact, effective code. Understanding Object-Oriented Programming Object-oriented programming is a style of coding that allows developers to group similar tasks into classes. 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. 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. Strata Conference 2011, Day 2 Keynotes. Day 2, and after yesterday’s tutorials the conference is really getting going. Here’s a stream of consciousness from the morning’s keynotes at this sold-out event. 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) Cloudant and Heartbleed The discovery of the Heartbleed bug (CVE-2014-0160) on Monday revealed that a vulnerability with OpenSSL may have exposed sensitive data, including SSL certification secret keys and user passwords, ac...
Read More April 9, 2014 | Adam Kocoloski. Semanticweb.com - The Voice of Semantic Web Business. When supercomputers meet the Semantic Web – Post. When supercomputers meet the Semantic Web Jack Park forwarded the link to this post. Easy Semantic Solution Is At Hand! – Post.
The Federated Enterprise (Using Semantic Technology Standards to Federate Information and to Enable Emergent Analytics) I had to shorten the title a bit. Wanted you to be aware of the sort of nonsense that data warehouse people are being told: The procedure described above enabling federation based on semantic technology is not hard to build; it is just a different way of describing things that people in your enterprise are already describing using incompatible technologies like spreadsheets, text processors, diagramming tools, modeling tools, email, etc.
The semantic approach simply requires that everything be described in a single technology, RDF/OWL. Mapping Wikileaks’ Cablegate using Python, mongoDB and Gephi – Saturday, 5 Feburary 2011. Mapping Wikileaks’ Cablegate using Python, mongoDB and Gephi From the website: Text analysis and graph visualization on the Wikileaks Cablegate dataset.We propose to present a complete work-flow of textual data analysis, from acquisition to visual exploration of a complex network.
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. Analysts need to factor in time for speeding up off-the-shelf algorithms or even whether a machine learning pass would complete in a timely manner. While using smaller random samples can help mitigate performance issues, some data sets lend themselves to improved results when applied to more data. Developer Week in Review. Handling RDF on Your Own System – Quick Start. Tags Associated With Other Tags on Delicious Bookmarked Resources.
Import simplejson, urllib.