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Data, information, knowledge and power – exploring Open Knowledge’s new core purpose | Tim's Blog

Data, information, knowledge and power – exploring Open Knowledge’s new core purpose | Tim's Blog | dataInnovation | Scoop.it

Summary: a contribution to debate about the development of open knowledge movements


Via Irina Radchenko
Fàtima Galan's insight:

The Open Knowledge Foundation (re-named as as ‘Open Knowledge’) are soft-launching a new brand over the coming months.

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dataInnovation
Proficient in Information System Design used to the development of Business Intelligence Platforms and Semantic Web Ontologies. With experience in the benefits of the knowledge extraction by integrating LinkedData Technologies and OpenData Sources.
Curated by Fàtima Galan
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Rescooped by Fàtima Galan from Peer2Politics
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How the sharing economy will develop in 2015

How the sharing economy will develop in 2015 | dataInnovation | Scoop.it

The #sharing #economy has grown exponentially in the past few years to the point where it has impacted nearly all industries.


Via jean lievens
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miracletrain 夢想驛站's curator insight, December 22, 6:40 AM

The unstoppable rise of the Sharing Economy, it could be the Internet's most divisive revolution.

Rescooped by Fàtima Galan from Terminology rocks!!
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BabelNet™ | A very large multilingual encyclopedic dictionary and semantic network

BabelNet™ | A very large multilingual encyclopedic dictionary and semantic network | dataInnovation | Scoop.it
BabelNet is both a multilingual encyclopedic dictionary, with lexicographic and encyclopedic coverage of terms in 50 languages, and a semantic network which connects concepts and named entities in a very large network of semantic relations, made up of more than 9 million entries.

Via Maria Pia Montoro
Fàtima Galan's insight:
http://babelnet.org/search?word=coraz%C3%B3n&lang=ES

Noun

corazón

El corazón es el órgano muscular principal del aparato circulatorio en todos los animales que poseen un sistema circulatorio.

ID: 00043383n | Concept

 afección, afectividad, afecto, corazón

Philia, Phil-, es un antiguo término griego para referirse al amor fraterno, incluyendo amistad y afecto.

ID: 00001744n | Concept

 centro, corazón, enjundia

Lo que realmente le sobra a Antonio y a Laura, vecinos TOP La palabra esencia proviene del latín essentia que a su vez proviene del infinitivo del verbo latino esse, ser = existir, cuyo participio ens es el ente como ser que existe.

ID: 00017124n | Concept

 amado, amor, cariño, corazón

  A beloved person; used as terms of endearment

ID: 00009819n | Concept

 Corazón: Diario de un niño, Corazón (novela)

Corazón: Diario de un niño es una obra literaria escrita por el autor italiano Edmundo de Amicis en 1886.

ID: 03176635n | Named Entity

 Corazón (programa de televisión)

Corazón es un programa de televisión emitido por la cadena española La 1 de Televisión Española.

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Eliana Lobo's curator insight, December 2, 8:26 PM

Always looking for a large multilingual dictionary? Here's a big one!

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Data science: 'Machines do analytics. Humans do analysis'

Data science: 'Machines do analytics. Humans do analysis' | dataInnovation | Scoop.it
Two leaders of Booz Allen's data science team talk talent, building a data science team and the machine-human link in analytics.

Via Don Dea, Luca Naso
Fàtima Galan's insight:

"Data science is a team sport and you need a diverse team to explore multiple angles."

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Don Dea's curator insight, December 10, 1:06 AM

No machine can be a miracle cure. Humans have to find the patterns, ask the right questions and make the connections in the data. "Machines do analytics," explained Sullivan. "Humans do analysis." Computers are good at detail and examining the past, but real data science requires imagination and cognitive ability.

Luca Naso's curator insight, December 11, 11:33 AM

In Data Science "talent" means to be "relentless in the face of failure"

 

Insights (aka Big Data Value) builds on Big Brains:

No machine can be a miracle cure. Humans have to find the patterns, ask the right questions and make the connections in the data.

Carla Gentry CSPO's curator insight, December 14, 9:42 AM

Sullivan isn't big on analytics technology that serves as a magic bullet to data science. No machine can be a miracle cure. Humans have to find the patterns, ask the right questions and make the connections in the data. "Machines do analytics," explained Sullivan. "Humans do analysis." Computers are good at detail and examining the past, but real data science requires imagination and cognitive ability.

Rescooped by Fàtima Galan from Open Government Daily
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D5 London 2014: leading digital governments - GOV.UK

D5 London 2014: leading digital governments - GOV.UK | dataInnovation | Scoop.it
The UK is hosting the first summit of a new global network called D5 on 9 to 10 December 2014. This is a group of some of the most digitally advanced governments in the world.

The founding members are United Kingdom, South Korea, Estonia, Israel and New Zealand.

We will tweet about the summit from [@CabinetOfficeUK](https://twitter.com/cabinetofficeuk) and [@GDSTeam.](https://twitter.com/gdsteam) Join the conversation with [#D5London. ](https://twitter.com/search?f=realtime&q=%23d5london&src=typd)

Via Ivan Begtin
Fàtima Galan's insight:

"This is a group of some of the most digitally advanced governments in the world."

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Ivan Begtin's curator insight, December 12, 12:56 AM

A news about D5 in UK. Is it OGP replacement?

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R&D Fund Glossary - Native

R&D Fund Glossary - Native | dataInnovation | Scoop.it
Below is a glossary of words, concepts and tools that have been important to the R&D Fund projects so far.  10 Basic Terms Software is the general name for the programs and other operating information that run on a computer or device. Hardware is the general name for any of the physical components of a...
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Rescooped by Fàtima Galan from The Programmable City
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With Big Data Comes Big Responsibility: Toward a New Deal on Data | HBR

With Big Data Comes Big Responsibility: Toward a New Deal on Data | HBR | dataInnovation | Scoop.it

Big data and the “internet of things”—in which everyday objects can send and receive data—promise revolutionary change to management and society. But their success rests on an assumption: that all the data being generated by internet companies and devices scattered across the planet belongs to the organizations collecting it. What if it doesn’t?

 

Alex “Sandy” Pentland, the Toshiba Professor of Media Arts and Sciences at MIT, suggests that companies don’t own the data, and that without rules defining who does, consumers will revolt, regulators will swoop down, and the internet of things will fail to reach its potential. To avoid this, Pentland has proposed a set of principles and practices to define the ownership of data and control its flow. He calls it the New Deal on Data. ...


Via Rob Kitchin
Fàtima Galan's insight:

"We’ve set up some safe-harbor areas in Europe—cities that run by different rules than the rest of Europe. In Trento, Italy, hundreds of families are living with the New Deal on Data. They get notification and control of data generated about them. It’s securely shared in an auditable way. And guess what? These people share a lot more than people who don’t live under New Deal rules, because they trust the system and recognize the value in sharing. Being confident about your personal data makes for a better economy, not a worse one."

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Rescooped by Fàtima Galan from e-Xploration
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A Behind-the-Scenes Look at How #Infographics Are Made | #dataviz

A Behind-the-Scenes Look at How #Infographics Are Made | #dataviz | dataInnovation | Scoop.it
It’s been said that we’re living in the golden age of data visualization. And why shouldn’t we be? Every move we make is potential fodder for a bar chart or line graph. Regardless of how you feel about our constant quantification, its been a boon for designers who have made some exceptional infographics—and some not…

Via luiy
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luiy's curator insight, November 24, 5:47 AM

A new book from graphic guru and School of Visual Arts professor Steven Heller and designer Rick Landers looks at that the process of more than 200 designers, from first sketch to final product. The Infographic Designers Sketchbook is almost exactly what it sounds like. The 350-page tome is essentially a deep dive into the minds of data designers. Heller and Landers have chosen more than 50 designers and asked them to fork over their earliest sketches to give us insights into how they turn a complex set of data into coherent, visually stunning data visualizations. “You see a lot more unbridled, unfettered work when you’re looking at a sketchbook,” says Heller. “You might be looking at a lot of junk, but even that junk tells you something about the artist who is doing it.”

Rescooped by Fàtima Galan from Data Management Thread
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16 analytic disciplines compared to data science

16 analytic disciplines compared to data science | dataInnovation | Scoop.it
What are the differences between data science, data mining, machine learning, statistics, operations research, and so on?
Here I compare several analytic disci…

Via Irina Radchenko
Fàtima Galan's insight:

"What are the differences between data science, data mining, machine learning, statistics, operations research, and so on?

Here I compare several analytic disciplines that overlap, to explain the differences and common denominators. Sometimes differences exist for nothing else other than historical reasons. Sometimes the differences are real and subtle. I also provide typical job titles, types of analyses, and industries traditionally attached to each discipline. Underlined domains are main sub-domains. It would be great if someone can add an historical perspective to my article."

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OpenCube Browser – OpenCube Toolkit

Just another WordPress site
Fàtima Galan's insight:

"

The OpenCube Browser enables the exploration of an RDF data cube by presenting each time a two-dimensional slice of the cube as a table.

You can try the OpenCube Browser to explore:

a dataset from Eurostat at the demo page.a dataset from the Irish Census at the demo page.

"

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Consortium Opens “Linked Data Awareness Barometer” Survey - Semanticweb.com

Consortium Opens “Linked Data Awareness Barometer” Survey - Semanticweb.com | dataInnovation | Scoop.it
Fàtima Galan's insight:

"This survey intends to reflect the opinion of various stakeholders working in different industry verticals about the status of Linked Data technologies. The main question is: Is Linked Data perceived as mature enough to be used on a large scale in enterprises? The results will contribute to the development of the Linked Data market by reporting how enterprises currently think."

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How Semantic Web Tech Can Make Big Data Smarter

Over the past few years, major enterprises have shown interest in combining semantic web technology with big data for added value. Let's take a look at what enterprises are seeking and why they think semantic web can make big data smarter. Topic: Featured Articles.
Fàtima Galan's insight:

* Provides end-users increased ability to self-manage data from varied sources
* Addresses varying user needs and changing business environments
* Manages terminology, concepts and relationships while connecting diverse data from varied data sources
As you create a semantic layer over your big data initiative, be sure to include the following elements:
1. Flexible, universal data model based on industry standards
2. Use of semantic RDF standards to make the data “self-describing”
3. Graph representation and management of data
4. Service-Oriented Architecture (SOA) infrastructure
5. Post-ingestion data characterization

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Rescooped by Fàtima Galan from Open Knowledge
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Turn Data Into Knowledge

Turn Data Into Knowledge | dataInnovation | Scoop.it
Every day we face challenges – from the personal, such as the quickest way to get to work, or what we should eat, to global ones like climate change and how to sustainably feed and educate seven billion people on this planet, writes Rufus Pollock, Founder, Open Knowledge

At Open Knowledge we believe that opening up data – and turning that data into insight – can be crucial to addressing these challenges, and building a society in which is everyone – not just the few – are empowered with the knowledge they need to understand and effect change.

Via Irina Radchenko
Fàtima Galan's insight:

"Data is everywhere and we commonly talk of ‘digital economies’ now, of a ‘networked society’. But making sense of data – turning it into knowledge if you like – and then using it wisely, is still one of the greatest challenges we face as a global and increasingly interlinked society.

...

Reuse and redistribution: the data must be provided under terms that permit reuse and redistribution including the intermixing with other datasets. The data must be machine-readable.

...

Personal data should never be ‘open’ and freely accessible to everyone. Rather, we strongly believe that each of us should control our personal data – both to have access to it and to know (and decide) how it is used.

...

With digital technology – from mobiles to the Internet – increasingly everywhere, we are seeing a data revolution. We are living this revolution both in the amount of data available and in our ability to use, and share, that data. And it is changing everything we do – from how we travel home from work to how scientists do research, to how governments set policy.

"

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Rescooped by Fàtima Galan from Open Knowledge
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How the developing world is using open data

How the developing world is using open data | dataInnovation | Scoop.it
New surveys reveal the challenges of open data-driven businesses in developing countries, explains Alla Morisson.

Via Irina Radchenko
Fàtima Galan's insight:

Impresive

"The goal of these surveys was to gather first cut information about whether the private sector in emerging countries has begun to produce open data-driven companies, and if yes, whether these companies face financing-related challenges. "

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Rescooped by Fàtima Galan from Open Knowledge
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Open Data Research Network Bibliography

Open Data Research Network Bibliography | dataInnovation | Scoop.it

This bibliography visualises an annotated collection of literature contributed by members of the Open Data Research Network, covering writing about the creation, supply, use and impacts of open data.

 


Via Irina Radchenko
Fàtima Galan's insight:

"This bibliography visualises an annotated collection of literature contributed by members of the Open Data Research Network"

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Rescooped by Fàtima Galan from BIG data, Data Mining, Predictive Modeling, Visualization
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Data analytics for HR: how to make effective recruitment.

Data analytics for HR: how to make effective recruitment. | dataInnovation | Scoop.it
In his book Drive, management author Daniel Pink talks about the disconnect between “what science is telling us and what businesses do”. He refers to employee motivation and how organisations use v...

Via AnalyticsInnovations
Fàtima Galan's insight:

"It’s not all ‘Moneyball’ and to hope that data scientists alone will help solve talent challenges is naïve. Data-based insights can only act as indicators by themselves. Domain experts like hiring managers, HR professionals, and recruiters involved must be able to identify the problem and ask the right questions before applying analytics."

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Rescooped by Fàtima Galan from Bounded Rationality and Beyond
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Economic complexity: A different way to look at the economy

Economic complexity: A different way to look at the economy - Foundations & Frontiers - Medium

By W. Brian Arthur; External Professor, Santa Fe Institute; Visiting Researcher, Palo Alto Research Center. 

Economics is a stately subject, one that has altered little since its modern foundations were laid in Victorian times. Now it is changing radically. Standard economics is suddenly being challenged by a number of new approaches: behavioral economics, neuroeconomics, new institutional economics. One of the new approaches came to life at the Santa Fe Institute: complexity economics.

Complexity economics got its start in 1987 when a now-famous conference of scientists and economists convened by physicist Philip Anderson and economist Kenneth Arrow met to discuss the economy as an evolving complex system. That conference gave birth a year later to the Institute’s first research program – the Economy as an Evolving Complex System – and I was asked to lead this. That program in turn has gone on to lay down a new and different way to look at the economy.


Via Alessandro Cerboni
Fàtima Galan's insight:

"Where does complexity economics find itself now? Certainly, many commentators see it as steadily moving toward the center of economics. And there’s a recognition that it is more than a new set of methods or theories: it is a different way to see the economy. It views the economy not as machine-like, perfectly rational, and essentially static, but as organic, always exploring, and always evolving – always constructing itself."

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Rescooped by Fàtima Galan from Data Management Thread
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Big Picture: Google Visualization Research

Big Picture: Google Visualization Research | dataInnovation | Scoop.it

Via Irina Radchenko
Fàtima Galan's insight:

"how information visualization can make complex data accessible, useful, and even fun"

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Rescooped by Fàtima Galan from Linked Data and Semantic Web
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LOD Laundromat

LOD Laundromat | dataInnovation | Scoop.it
LOD Laundromat: cleaning all the Linked Open Data in the world.

Via Irina Radchenko
Fàtima Galan's insight:

"crawling the LOD cloud, and converting all its contents in a standards-compliant way (gzipped N-Triples), removing all data stains such as syntax erros, duplicates, and blank nodes."

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BBC - Blogs - Internet blog - Opening up the BBC's Linked Data with /things

BBC - Blogs - Internet blog - Opening up the BBC's Linked Data with /things | dataInnovation | Scoop.it
The BBC Things website is designed to be used by anyone who works with our data at a technical or editorial level. From an editorial perspective, the website makes it easy for content editors, producers and creators to discover concepts that exist in our platform.
Fàtima Galan's insight:

"The new website provides public access to data stored in our platform and, importantly, provides a public reference for all of the things that the BBC creates content about. "

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Rescooped by Fàtima Galan from Open Government Daily
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CERN Open Data Portal

CERN Open Data Portal | dataInnovation | Scoop.it

Via Ivan Begtin
Fàtima Galan's insight:

"The CERN Open Data portal is the access point to a growing range of data produced through the research performed at CERN. It disseminates the preserved output from various research activities, including accompanying software and documentation which is needed to understand and analyze the data being shared."

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Rescooped by Fàtima Galan from Big Data
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Big Data Ethics: How Does It Affect Your Privacy?

Big Data Ethics: How Does It Affect Your Privacy? | dataInnovation | Scoop.it
Big Data enables to check, control & know everything. Big Data ethics entails an obligation to act on behalf of and to protect the customer and the privacy.

Via Vanrijmenam
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“The importance of being semantic” | Europeana Sounds

“The importance of being semantic” | Europeana Sounds | dataInnovation | Scoop.it
Fàtima Galan's insight:

"

Simply speaking it consists of a tuple with:

the information that is annotated inside the document;the annotation itself;a predicate, that establishes a relationship amongst the two points above;the context in which the annotation has been made (who made it, when, its reliability, a possible limit for its validity, etc).

"

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Los #Datos son la nueva riqueza de una ciudad

Los #Datos son la nueva riqueza de una ciudad | dataInnovation | Scoop.it

¿Quién es Jonathan Reichental? El Dr. Jonathan Reichental, actualmente CIO de la ciudad de Palo Alto, es un galardonado líder en tecnología cuya carrera de 20 años se ha extendido tanto en el se


Via Paco Prieto
Fàtima Galan's insight:

"Tenemos que trabajar para que el ciudadano se conecte con los otros stakeholders para determinar servicios y proponer soluciones. Son laspersonas las que toman el poder para proponer soluciones que pueden tener forma de negocio si el sector empresarial está conectado y atento."

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Rescooped by Fàtima Galan from Language Tech Market News
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Microsoft May Buy Text-analysis Software Firm

Microsoft has signed a letter of intent to buy Equivio, an Israeli developer of text-analysis software used for corporate/legal e-discovery and information governance applications. The WSJ reports the price is around $200M. Equivio's software relies on machine learning algorithms to analyze and group together documents. Potential use cases include grouping near-duplicates, reconstructing e-mail threads, and data mining.

Via LT-Innovate
Fàtima Galan's insight:

"machine learning algorithms to analyze and group together documents"

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