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Using Public Data to Fight a War. How does a technology built for apartment-hunting end up being evaluated by the U.S.

Using Public Data to Fight a War

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. An Intro To The Semantic Web: Why You Need To Know About It Sooner Than Later. Case Studies Fusionex.

An Intro To The Semantic Web: Why You Need To Know About It Sooner Than Later

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: 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) [1].

Making Connections Real

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. 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.

The INSEMTIVES ISWC2010 Tutorial - 10 ways to make your semantic app addictive

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.

Meditating on Perl, Python and the Semantic Web

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.

An Introduction to Linked Data

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 - 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 Twitter data extraction begins! « Laurens goes semantic…

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.

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+.

Object-Oriented PHP for Beginners

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. "Object-oriented programming is a style of coding that allows developers to group similar tasks into classes. " One of the major benefits of DRY programming is that, if a piece of information changes in your program, usually only one change is required to update the code. Understanding Objects and Classes Structuring Classes The OOP Approach.

Recherche à facettes. Un article de Wikipédia, l'encyclopédie libre.

Recherche à facettes

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). Une classification à facettes associe à chaque donnée de l'espace de recherche un certain nombre d'axes explicites de filtrage, par exemple des mots clés issus d'une analyse texte, des métadonnées stockées dans une base de données, etc.

On trouve par exemple des recherches à facettes basées sur des catégories sur de nombreux sites de e-commerce. Type de facette[modifier | modifier le code] On peut voir des facettes liées : Tunnel SSH, proxy HTTP [NoJhan - Site perso] Strata Conference 2011, Day 2 Keynotes. Day 2, and after yesterday’s tutorials the conference is really getting going.

Strata Conference 2011, Day 2 Keynotes

Here’s a stream of consciousness from the morning’s keynotes at this sold-out event. “In the same way that the industrial revolution changed what it meant to be human, the data revolution is changing what it means to be alive.” 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. - The Voice of Semantic Web Business. When supercomputers meet the Semantic Web – Post. When supercomputers meet the Semantic Web. 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. This simple change in how things are described enables federation and the paradigm shifting capabilities that accompany it.

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. Through the presentation of a simple software specifically developed for this talk, we will cover a set of productive and widely used softwares and libraries in text analysis, then introduce some features of Gephi, an open-source network visualization & analysis software, using the data collected and transformed with cablegate-semnet. 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.

Developer Week in Review. Handling RDF on Your Own System – Quick Start. Tags Associated With Other Tags on Delicious Bookmarked Resources.