PUBLIC MARKS with search information

I have gathered some notes on my use of machine tag for biology taxonomy. So you can express easily the classification on web services using tagging (like flickr or del.icio.us) a machine tag that can be read by human and by machine (read information automated systems) :

Now today there are few human beings who, for biological reasons, cannot forget. What sounds like a blessing, they certainly do remember where they parked their car in a shopping mall. It turns out that they have tremendous difficulties in acting in time, in deciding in time, because they remember all their bad, failed decisions in the past, and therefore hesitate to make a decision in the present.

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.

Zoie is a real-time search and indexing system built on Apache Lucene. In a real-time search/indexing system, a document is made available as soon as it is added to the index. This functionality is especially important to time-sensitive information such as news, job openings, tweets etc.

a common format for archiving HTTP information that are captured by HTTP sniffers.

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.

ARCHIGRAM dominated the architectural avant garde in the 1960s and early 1970s with its playful, pop-inspired visions of a technocratic future after its formation in 1961 by a group of young London architects – Warren Chalk, Peter Cook, Dennis Crompton, David Greene, Ron Herron and Michael Webb.

“A new generation of architecture must arise with forms and spaces which seems to reject the precepts of ‘Modern’ yet in fact retains those precepts. We have chosen to by pass the decaying Bauhaus image which is an insult to functionalism. You can roll out steel – any length. You can blow up a balloon – any size. You can mould plastic – any shape. Blokes that built the Forth Bridge – they didn’t worry.”

So wrote David Greene in a poem published in the first issue of Archigram magazine or, as Greene’s co-editor, Peter Cook, called it “a message, or abstract communication”. It was published in 1961 on a large sheet of the cheapest available paper. Filled with Greene’s poems and sketches of architectural projects designed by Cook, Michael ‘Spider’ Webb and other friends, the magazine voiced their frustration with the intellectual conservatism of the British architectural establishment.

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

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.

In a plain HTTP interaction, the Content-type and Accept headers carry information about the type of the data being transmitted and accepted, respectively. You’ve seen these media types in numerous examples, e.g. a typical request or response might have a Content-type header with the value application/xml.

A significant weakness of HTTP in my view is its dependence on the MIME standard for media type identification and on the related iana registry. This registry is a limited bottleneck that does not have the capacity to deal with the media type definition requirements of individual enterprises or domains. Machine-centric environments rely in a higher level of semantics than the human-centric environment of the Web. In order for machines to effectively exploit information, every unique schema of information needs to be standardised in a media type and for those media types to be individually identified. The number of media types grows as machines become more dominant in a distributed computing environment and as the number of distinct environments increases.

Over the past few months I’ve been talking with many people passionate about Information Visualization who share a sense of saturation over a growing number of frivolous projects. The criticism is slightly different from person to person, but it usually goes along these lines: “It’s just visualization for the sake of visualization”, “It’s just eye-candy”, “They all look the same”.

I like to compare this practice to a game designer who lays out an intended context, rules and narrative for the game, but then has this moment of delight when users engender their own narrative, their own path. This is intrinsic to the conception of Information Visualization as a discovery tool.

When searching for something on the web we’ve all had the experience of clicking on a link in a search engine’s results page only to find that the page no longer exists. If there’s no information on that page other than a default error message, the most likely course of action on the user’s part is to press the back button and try the next search result.

As site authors we can make our error pages more meaningful to our users, so that an error becomes an opportunity to bring the user back into a site and show them content that’s relevant to what they’re looking for. In this article I’ll show you how to do just that.