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.
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.
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 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. 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. So I have read through several books. But, for me, there is no substitute for doing some actualy programming on a topic to really do a "deep dive" into the material.
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. From a Summary: "Although the first Semantic Web standards are more than ten years old, only recently have we begun to actually see machines sharing data on the Web. 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. 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. Recherche à facettes. 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.
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 first of this morning’s keynotes; Hilary Mason from link shortener bit.ly. Data and the people who work with data; “The state of the data union is strong.” The Semantic Link Podcast RSS Feed is live! Episode 2 of The Semantic Link podcast discusses Drupal and more.
Episode 2 of our new Semantic Link podcast went up on SemanticWeb.com this evening, and it’s another good one.
Not that I’m biased or anything. The whole team is present once more, and we start the show discussing the implications of Drupal 7 and its newly formalised RDFa-publishing capabilities. Unlike regular semantic technology solutions, which someone has to consciously procure as a Semantic Technology solution, Drupal is first and foremost a (popular, free) Content Management System; the semantic smarts come for free, and therefore reach a massive new audience.
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 Announcing Cloudant Geospatial. 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. It has descriptions like: Everything about the hardware is optimised to churn through large quantities of data, very quickly, with vital statistics that soon become silly. 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.
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. Here we share our experience implementing a set-oriented approach to machine learning that led to huge performance increases (more detail is available in a related post at O’Reilly Answers).
Developer Week in Review. Handling RDF on Your Own System – Quick Start. Tags Associated With Other Tags on Delicious Bookmarked Resources.