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Mon manifeste du médium algorithmique

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Pierre Levy's insight:

Une seconde version bien meilleure que la première!

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Pierre Levy's curator insight, February 22, 2013 1:28 PM

Un extrait du Tome 2

luiy's curator insight, February 26, 2013 12:03 PM

Dans les sciences, l’économie ou la politique, les activités humaines sont de plus en plus fondées sur la gestion et l’analyse d’énormes masses de données numériques (Je traduis par « masses de données » ou « données massives » l’anglais « big data »). Même si nous n’en n’avons pas clairement conscience, notre société devient progressivement datacentrique. Parallèlement à cette évolution, nos communications – émettrices et réceptrices de données – reposent sur une infrastructure de plus en plus complexe de manipulation automatique de symboles que j’appelle le médium algorithmique. Mais aussi bien la société datacentrique que le médium algorithmique sur lequel elle repose n’en sont encore qu’à leurs timides commencements. L’essentiel de leur croissance et de leur développement reste encore à venir. De plus, les esprits restent fascinés par la puissance de diffusion de messages offerte par l’Internet, une puissance qui n’est pas loin d’avoir atteint son terme, alors qu’un immense espace – encore inexploré – s’ouvre à la transformation et à l’analyse du déluge de données que nous produisons quotidiennement. A l’avant-garde de la révolution algorithmique, IEML (ou tout autre système ayant les mêmes propriétés) va démocratiser la catégorisation et l’analyse automatique de l’océan de données. Son utilisation dans les médias sociaux va créer un environnement encore plus propice qu’aujourd’hui à l’apprentissage collaboratif et à la production de connaissances massivement distribuée. Ce faisant, IEML (ou quelqu’autre code sémantique universel) va contribuer à faire émerger le médium algorithmique du futur et permettre une réflexion de l’intelligence collective sur l’édification de la société datacentrique à venir.

The Rise of the Algorithmic Medium
Algorithms are the new medium between people and people, people and data, data and data. Internet of things, smart cities, cryptocurrencies...
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How the Internet of Things is affecting urban design

How the Internet of Things is affecting urban design | The Rise of the Algorithmic Medium | Scoop.it
A look at how connected tech and the Internet of Things is affecting our cities.
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Dell Opens Internet of Things Lab in Silicon Valley

Dell Opens Internet of Things Lab in Silicon Valley | The Rise of the Algorithmic Medium | Scoop.it
Dell Inc. has opened a Silicon Valley laboratory where customers can develop software to improve business operations. The facility, dubbed the Dell Internet of Things Lab, opened in the Dell Silico...
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Operational Semantics - From Text Mining to Triplestores – The Full Semantic Circle

Operational Semantics - From Text Mining to Triplestores – The Full Semantic Circle | The Rise of the Algorithmic Medium | Scoop.it
In the not too distant past, analysts were all searching for a “360 degree view” of their data.  Most of the time this phrase referred to integrated RDBMS data, analytics interfaces and customers. But with the onslaught…

Via Tony Agresta, Edward Chenard
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Tony Agresta's curator insight, February 15, 6:22 PM

Semantic pipelines allow for the identification, extraction, classification and storage of semantic knowledge creating a knowledge base of all your data.   Most organizations have struggled to create these pipelines primarily because the plumbing hasn't existed.  But now it does. 


This post discusses how free flowing text streams into graph databases using concept extraction processes.  A well coordinated feed of data is written to the underlying graph database while updates are tracked on a continuous basis to ensure database integrity.  


Other important pipeline plumbing includes tools for disambiguation (used to resolve the definition of entities inside the text), classification of the entities, structuring relationships between entities and determining sentiment.


Organizations that deploy well functioning semantic pipelines have an added advantage over their competitors.   They have instant access to a completed knowledge base of data.  Research functions spend less time searching and more time analyzing.  Alerting notifies critical business functions to take immediate action.  Service levels are improved using accurate, well structured responses.  Sentiment is detected allowing more time to react to changing market conditions.



In general, the REST Client API calls out a GATE-based annotation pipeline and sends back enriched data in RDF form. Organizations typically customize these pipelines which consist of any GATE-developed set of text mining algorithms for scoring, machine learning, disambiguation or any of the other wide range of text mining techniques.

It is important to note that these text mining pipelines create RDF in a linear fashion and feed GraphDB™. Once the RDF is enriched in this fashion and stored in the database, these annotations can then be modified, edited or removed. This is particularly useful when integrating with Linked Open Data (LOD) sources. Updates to the database are populated automatically when the source information changes.

For example, let’s say your text mining pipeline is referencing Freebase as its Linked Open Data source for organization names. If an organization name changes or a new subsidiary is announced in Freebase, this information will be updated as reference-able metadata in GraphDB™.

In addition, this tightly-coupled integration includes a suite of enterprise-grade APIs, the core of which is the Concept Extraction API. This API consists of a Coordinator and Entity Update Feed. Here’s what they do:

  • The Concept Extraction API Coordinator module accepts annotation requests and dispatches them towards a group of Concept Extraction Workers. The Coordinator communicates with GraphDB™ in order to track changes leading to updates in each worker’s entity extractor. The API Coordinator acts as a traffic cop allowing for approved and unique entities to be inserted in GraphDB™ while preventing duplicates from taking up valuable real estate.
  • The Entity Update Feed (EUF) plugin is responsible for tracking and reporting on updates about every entity (concept) within the database that has been modified in any way (added, removed, or edited). This information is stored in the graph database and query-able via SPARQL. Reports can be run notifying a user of any and all changes.

 

Other APIs include Document Classification, Disambiguation, Machine Learning, Sentiment Analysis & Relation Extraction. Together, this complete set of technology allows for tight integration and accurate processing of text while efficiently storing resulting RDF statements in GraphDB™.

As mentioned, the value of this tightly-coupled integration is in the rich metadata and relationships which can now be derived from the underlying RDF database. It’s this metadata that powers high performance search and discovery or website applications – results are compete, accurate and instantaneous.

- See more at: http://www.ontotext.com/text-mining-triplestores-full-semantic-circle/#sthash.fg1RVcQN.dpuf

In general, the REST Client API calls out a GATE-based annotation pipeline and sends back enriched data in RDF form. Organizations typically customize these pipelines which consist of any GATE-developed set of text mining algorithms for scoring, machine learning, disambiguation or any of the other wide range of text mining techniques.

It is important to note that these text mining pipelines create RDF in a linear fashion and feed GraphDB™. Once the RDF is enriched in this fashion and stored in the database, these annotations can then be modified, edited or removed. This is particularly useful when integrating with Linked Open Data (LOD) sources. Updates to the database are populated automatically when the source information changes.

For example, let’s say your text mining pipeline is referencing Freebase as its Linked Open Data source for organization names. If an organization name changes or a new subsidiary is announced in Freebase, this information will be updated as reference-able metadata in GraphDB™.

In addition, this tightly-coupled integration includes a suite of enterprise-grade APIs, the core of which is the Concept Extraction API. This API consists of a Coordinator and Entity Update Feed. Here’s what they do:

  • The Concept Extraction API Coordinator module accepts annotation requests and dispatches them towards a group of Concept Extraction Workers. The Coordinator communicates with GraphDB™ in order to track changes leading to updates in each worker’s entity extractor. The API Coordinator acts as a traffic cop allowing for approved and unique entities to be inserted in GraphDB™ while preventing duplicates from taking up valuable real estate.
  • The Entity Update Feed (EUF) plugin is responsible for tracking and reporting on updates about every entity (concept) within the database that has been modified in any way (added, removed, or edited). This information is stored in the graph database and query-able via SPARQL. Reports can be run notifying a user of any and all changes.

 

Other APIs include Document Classification, Disambiguation, Machine Learning, Sentiment Analysis & Relation Extraction. Together, this complete set of technology allows for tight integration and accurate processing of text while efficiently storing resulting RDF statements in GraphDB™.

As mentioned, the value of this tightly-coupled integration is in the rich metadata and relationships which can now be derived from the underlying RDF database. It’s this metadata that powers high performance search and discovery or website applications – results are compete, accurate and instantaneous.

- See more at: http://www.ontotext.com/text-mining-triplestores-full-semantic-circle/#sthash.fg1RVcQN.dpuf
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3 Business Models using City Open Data

3 Business Models using City Open Data | The Rise of the Algorithmic Medium | Scoop.it
Civic APIs are in the spotlight across the two days of API Strategy and Practice being held in Amsterdam. Workshops, several panel sessions, keynote speakers, and fireside chats are all focused directly on how cities are opening up their data and introducing APIs into the ways they work with citizens and local businesses. Even discussions of the Internet of Things or realtime data are expected to reference the progress being made by cities to become smarter by using APIs.
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Forget Price, Here’s How Bitcoin Really Performed in 2014

Forget Price, Here’s How Bitcoin Really Performed in 2014 | The Rise of the Algorithmic Medium | Scoop.it
Some of the folks at BitPay have just released the stats of 2014's Bitcoin performance – the numbers that get less fanfare than the price, but are no less indicative of the currency's prospects.
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Narrow AI: Automating The Future Of Information Retrieval

Narrow AI: Automating The Future Of Information Retrieval | The Rise of the Algorithmic Medium | Scoop.it
With industry pundits including Stephen Hawking, Elon Musk and others hotly debating the dangers of Artificial Intelligence (AI) and Hollywood priming the..
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“There is no Internet of Things. There is only the Internet of Data.”

“There is no Internet of Things. There is only the Internet of Data.” | The Rise of the Algorithmic Medium | Scoop.it
The next strategic inflexion point for software application development today is the Internet of Things (IoT); at least that’s what people say. It is hugely fashionable just now to “partner on an IoT initiative” and you will see these tech industry love-ins cropping up every week now. But do all these [...]
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The 'internet weirdos' of bitcoin are shaping the way money works

The 'internet weirdos' of bitcoin are shaping the way money works | The Rise of the Algorithmic Medium | Scoop.it
Bitcoin’s downward spiral won’t matter in the long run because it is leading the way for cryptocurrency writes David Wolman, the author of The End of Money
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The Blockchain: What It Is and Why It Matters

The Blockchain: What It Is and Why It Matters | The Rise of the Algorithmic Medium | Scoop.it
Chances are that you’ve heard of bitcoin, the digital currency that many predict will revolutionize payments – or prove to be a massive fraud – depending on what you read. Bitcoin is an application that runs on the Blockchain, which is ultimately a more interesting and profound innovation.
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Startup Values Set Records

Startup Values Set Records | The Rise of the Algorithmic Medium | Scoop.it

Valuations placed on tech startups world-wide stretched to record heights in 2014 and accelerated at an exceptional pace, even when compared with the late 1990s dot-com boom. Chinese smartphone maker Xiaomi, valued at $46 billion, is just the latest example.

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Les sciences cognitives changeront le recruteur en agent de talents... - #rmsconf 2014 - YouTube

Une "bulle inspirante" proposée par Jean-Baptiste Audrerie (Directeur Marketing, Psychologue Organisationnel - SPB Psychologie Organisationnelle) le 14 octob...
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Cornell University CAC to Teach Cloud Computing to Researchers - insideHPC

Cornell University CAC to Teach Cloud Computing to Researchers - insideHPC | The Rise of the Algorithmic Medium | Scoop.it
The Cornell University Center for Advanced Computing announced that it will develop cloud computing training for the US research community.
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Anatomy of a Smart City

Anatomy of a Smart City | The Rise of the Algorithmic Medium | Scoop.it

The 19th century was a century of empires, 20th century was a century of nation states and the 21st century will be a century of cities...


This outstanding infographic (courtesy of postscapes.com) begins with some information about our current state of urbanization.


Did you know that 1.3 million people are moving to cities each week?! It then explains the need for smart cities and delves into what is required to establish these intelligent connected environments, how the smart city may take various forms in the developing worlds and what specific technologies are necessary to achieve such grand goals in practice.


Via Lauren Moss
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Eli Levine's curator insight, December 18, 2014 10:45 AM

There is an evolution taking place where politics, policy, technology, the environment, and the economy all intersect. This movement towards technical, empirically driven local policy making could be our saving grace.This could be the future of government.

Russell R. Roberts, Jr.'s curator insight, December 19, 2014 2:10 AM

A stunning infographic which predicts how urban living will change in this century.  Our age is truly becoming "a century of smart cities."  Exciting times lie ahead.  Aloha, Russ.

Paul Aneja - eTrends's curator insight, December 22, 2014 6:51 PM

What do you think makes a smarter city?

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The Philosophical Concept of Algorithmic Intelligence

The Philosophical Concept of Algorithmic Intelligence | The Rise of the Algorithmic Medium | Scoop.it
Proper quotation: « The Philosophical Concept of Algorithmic Intelligence », Spanda Journal special issue on "Collective Intelligence", V (2), December 2014, p. 17-25. The original text can be foun...
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sandra alvaro's curator insight, February 23, 7:20 AM

Transcending the media, airborne machines will announce the voice of the many. Still indiscernible, cloaked in the mists of the future, bathing another humanity in its murmuring, we have a rendezvous with the over-language.” Collective Intelligence, 1994, p. xxviii.

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Swedish company implants microchips in its staff

Swedish company implants microchips in its staff | The Rise of the Algorithmic Medium | Scoop.it
It is hoped that eventually around 700 employees from the Epicenter hi tech office block in the centre of Stockholm may eventually have the chips, which are the size of a grain of rice, implanted in their hands.
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Why your things need the cloud

Why your things need the cloud | The Rise of the Algorithmic Medium | Scoop.it
Every few years there is a new “next big thing” in the fast-changing computing industry. Sometimes these “next big things” have proven to be fads or simply repackaged versions of what has come before. But sometimes the latest craze is worth paying attention to because it signals a more significant shift to new capabilities and applications that will…
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Moore’s Law Is About to Get Weird

Moore’s Law Is About to Get Weird | The Rise of the Algorithmic Medium | Scoop.it

In the nearly 70 years since the first modern digital computer was built, the above specs have become all but synonymous with computing. But they need not be. A computer is defined not by a particular set of hardware, but by being able to take information as input; to change, or “process,” the information in some controllable way; and to deliver new information as output. This information and the hardware that processes it can take an almost endless variety of physical forms. Over nearly two centuries, scientists and engineers have experimented with designs that use mechanical gears, chemical reactions, fluid flows, light, DNA, living cells, and synthetic cells.


http://nautil.us/issue/21/information/moores-law-is-about-to-get-weird


Via Complexity Digest
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Gary Bamford's curator insight, February 14, 5:31 AM

Bring on the analog computers!

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Bitcoin’s Big Opportunity In Africa

Bitcoin’s Big Opportunity In Africa | The Rise of the Algorithmic Medium | Scoop.it
In Kenya, a new breed of African tech startups is deciding what role new currencies will play in East Africa's powerhouse economy.
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New to deep learning? Here are 4 easy lessons from Google

New to deep learning? Here are 4 easy lessons from Google | The Rise of the Algorithmic Medium | Scoop.it
Google employs some of the world’s smartest researchers in deep learning and artificial intelligence, so it’s not a bad idea to listen to what they have to say about the space. One of those researchers, senior research scientist Greg Corrado, spoke at RE:WORK’s Deep Learning Summit on Thursday in San Francisco and gave some advice on when,…
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The Internet of Things Will Have Arrived When You Don't Even Notice It's There

The Internet of Things Will Have Arrived When You Don't Even Notice It's There | The Rise of the Algorithmic Medium | Scoop.it
The IoT will be a disappointment if it is just a deluge of smart-phone apps for operating appliances.
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Nikhil Buduma | Deep Learning in a Nutshell

Nikhil Buduma | Deep Learning in a Nutshell | The Rise of the Algorithmic Medium | Scoop.it
Deep learning. Neural networks. Backpropagation. Over the past year or two, I've heard these buzz words being tossed around a lot, and it's something that has definitely seized my curiosity recently. Deep learning is an area of active research these days, and if you've kept up with the field of computer science, I'm sure you've come across at least some of these terms at least once.
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MasterCard Patent Would Add Bitcoin to Global Shopping Cart

MasterCard Patent Would Add Bitcoin to Global Shopping Cart | The Rise of the Algorithmic Medium | Scoop.it
Global financial services giant MasterCard has filed a patent that would seek to incorporate bitcoin into its design for a planned global online shopping cart. Entitled 'Payment Interchange for Use With Global Shopping Cart', ...

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The Internet of Everything Comes to Work

The Internet of Everything Comes to Work | The Rise of the Algorithmic Medium | Scoop.it
By 2018, 95 percent of people will connect to the Internet from a smart device—and HR might not be prepared to handle it.
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The Internet of Things and the Connected Person | WIRED

The Internet of Things and the Connected Person | WIRED | The Rise of the Algorithmic Medium | Scoop.it
One of the interesting things about the Internet of Things (IoT): It’s not really about the things. The IoT is a developing technological marvel. It is estimated that by the year 2020, 50 to 100 billion devices will be electronically connected in the globally emerging IoT. But at the center of the innovation that is unfolding…

Via Rob Kitchin
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