PUBLIC MARKS with search data

This places everybody trying to make the web of data happening in danger of oper-promising and under-delivering, which is not a recipe for success: it’s a recipe for abuse, mistrust and anger… which ultimately leads to disaster and failure.

The goal of Tempest is to provide a consistent, reliable, multi-language API for generating heat-map images based on coordinate data-sets.

helper for publishing data to Layar augmented reality browser from Django edit

The New York Times has published 5,000 people subject headings as linked open data under a CC BY license. We provide both RDF documents and a human-friendly HTML versions.

Link using our stable URL pattern for titles, issues, editions, and pages.

Linked Data views of information about titles, batches, issues, and pages in RDF/XML.

This is an overview of the visualization and interaction experiments I produced for my Masters Thesis “Visual tools for the socio–semantic web” (.pdf, 12MB).

GeoREST is a framework for accessing, distributing, and editing raw geospatial data over the web. Because it is based on REST, it supports searching using standard Web search engines such as Google and Bing.

Project: BC Budget Visualization Tool

Date: September, 2009

Language: Processing

Key Concepts: Data visualization, data organization, sticking it to the man

Project: NYTimes 365/360

Date: February, 2009

Language: Processing

Key Concepts: Data Visualization, NYTimes Article Search API, HashMaps & ArrayLists

Threading

We’re quite familiar with the idea of writing a program that follows a specific sequence of steps as outlined in, say, a main() function. A Thread is also a series of steps with a beginning, a middle, and an end. A thread’s sequence, however, can run independently of the main program. In fact, we can launch any number of threads at one time and they will all run concurrently. Visit the Java site for a more involved explanation.

This is incredibly useful when it comes to data mining, as we can have separate threads retrieving different pieces of information from the network. If one gets stuck or has an error, the entire program won’t grind to a halt, since the error only stops that individual thread. To create independent, asynchronous threads, we simply extend the Thread class.

Given this new type of information and its value to search, we are very excited to announce that we have reached an agreement with Twitter to include their updates in our search results. We believe that our search results and user experience will greatly benefit from the inclusion of this up-to-the-minute data, and we look forward to having a product that showcases how tweets can make search better in the coming months

Managing News is both a product and a platform. Out of the box it can help your communications team manage a brand reputation, allow geographically dispersed clusters of NGOs stay on the same page, or act as a simple thematic news planet to share feeds with the world. It can also serve as a platform to build highly custom data aggregators that suck in everything from CSV to RDF to custom XML formats and that need unique workflows and visualizations. Managing News is built on Drupal and uses Features, which makes it highly extensible.

The USGS is now testing out Twitter to collect early response information about earthquakes: “the USGS is developing a system that gathers real-time, earthquake-related messages from the social networking site Twitter and applies place, time, and quantity data to provide geo-located earthquake detection within 60 seconds of an event’s origin time.“ Social media can be a valuable tool in helping to assess earthquake hazards through anecdotal information from hundreds and potentially thousands of local users.

What is "parsing"? Parsing is processing a series of symbols to extract their meaning. Typically, this means reading the words of a sentence and drawing information from them. When application programs need to process data that is provided as text, they must use some form of parsing logic. This logic scans the text characters and character groups (words) and recognizes patterns of groups to extract the underlying commands or information.

Good Data Viz can illuminate and educate, inspire and entertain. I also understand that this is an area when I am a student and am happy to turn it over to the pros. So, with this post I want to share some of the smartest stuff I’ve seen, as well as provide you with some original commentary from Patricia McDonald, Planning Director at BBH Labs.

What data can we wring out of the rural environment that might prove of use to it’s residents and visitors? What embedded processes should have APIs opened up to the wider community?