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ysabou

Tim Berners-Lee: The next web | Talk Video | TED.com - 0 views

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    20 years ago, Tim Berners-Lee invented the World Wide Web. For his next project, he's building a web for open, linked data that could do for numbers what the Web did for words, pictures, video: unlock our data and reframe the way we use it together.
anonymous

Shirky: Ontology is Overrated -- Categories, Links, and Tags - 1 views

  • I want to convince you that many of the ways we're attempting to apply categorization to the electronic world are actually a bad fit, because we've adopted habits of mind that are left over from earlier strategies.
    • Caro Mailloux
       
      need of novelty
  • because it is both widely used and badly overrated in terms of its value in the digital world.
  • ...25 more annotations...
  • Yahoo is saying "We understand better than you how the world is organized, because we are trained professionals. So if you mistakenly think that Books and Literature are entertainment, we'll put a little flag up so we can set you right, but to see those links, you have to 'go' to where they 'are'."
  • You don't have to have just a few links, you could have a whole lot of links.
  • A URL can only appear in three places. That's the Yahoo rule.
  • They missed the end of this progression, which is that, if you've got enough links, you don't need the hierarchy anymore. There is no shelf. There is no file system. The links alone are enough.
  • One reason Google was adopted so quickly when it came along is that Google understood there is no shelf, and that there is no file system. Google can decide what goes with what after hearing from the user, rather than trying to predict in advance what it is you need to know.
    • Caro Mailloux
       
      Laisser les usagers se faire leur langage et le tagger à leur façon puis, en tant que Google, prendre cette info et l'utiliser pour créer une ''taxonomie''.
  • "Well, that's going to be a useful category, we should encode that in advance."
  • They point to the signal loss from the fact that users, although they use these three different labels, are talking about the same thing.
  • You can also turn that list around. You can say "Here are some characteristics where ontological classification doesn't work well": Domain Large corpus No formal categories Unstable entities Unrestricted entities No clear edges Participants Uncoordinated users Amateur users Naive catalogers No Authority
  • The other big problem is that predicting the future turns out to be hard, and yet any classification system meant to be stable over time puts the categorizer in the position of fortune teller.
    • Caro Mailloux
       
      ne pas prévoir d'avance
  • Here is del.icio.us, Joshua Shachter's social bookmarking service. It's for people who are keeping track of their URLs for themselves, but who are willing to share globally a view of what they're doing, creating an aggregate view of all users' bookmarks, as well as a personal view for each user.
    • Caro Mailloux
       
      chouette description concrète de l'utilisation de del.icio.us!
  • " If you find a way to make it valuable to individuals to tag their stuff, you'll generate a lot more data about any given object than if you pay a professional to tag it once and only once.
    • Caro Mailloux
       
      utilité du tagging
  • Tags are simply labels for URLs, selected to help the user in later retrieval of those URLs. Tags have the additional effect of grouping related URLs together. There is no fixed set of categories or officially approved choices. You can use words, acronyms, numbers, whatever makes sense to you, without regard for anyone else's needs, interests, or requirements.
    • Caro Mailloux
       
      Chouette description de ''Tags''.
  • The chart shows a great variability in tagging strategies among the various users.
  • But this is what organization looks like when you turn it over to the users -- many different strategies, each of which works in its own context, but which can also be merged.
  • We are moving away from binary categorization -- books either are or are not entertainment
  • But they either had no way of reflecting that debate or they decided not to expose it to the users. What instead happened was it became an all-or-nothing categorization, "This is entertainment, this is not entertainment." We're moving away from that sort of absolute declaration, and towards being able to roll up this kind of value by observing how people handle it in practice.
  • What you do instead is you try to find ways that the individual sense-making can roll up to something which is of value in aggregate, but you do it without an ontological goal.
  • you believe that we make sense of the world, if we are, from a bunch of different points of view, applying some kind of sense to the world
    • Caro Mailloux
       
      ''we make sens of the world together thru what's worth aggregating'' = not ontology 
  • we're going to be able to build alternate organizational systems, systems that, like the Web itself, do a better job of letting individuals create value for one another, often without realizing it.
  • If you think the movies and cinema people were going to have a fight, wait til you get the queer politics and homosexual agenda people in the same room.
    • Marie-Noëlle Therrien
       
      ¸Bel exemple pour démontrer la problématique.
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    Un article de Clay Shirky qui nous donne son analyse de l'Ontologie, un point de vue intéressant sur les différentes façons de classer l'information sur le Web.
Marie-Noëlle Therrien

Le Linked Open Data - Sujet libre - 0 views

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    Le Linked Open Data et la structure du Web
rogersmuk

Palia is a warm, cozy hug of a game | Kaser Focus | VentureBeat<meta name="description"... - 0 views

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    "An effort by United States lawmakers to prevent government agencies from domestically tracking citizens without a search warrant is facing opposition internally from one of its largest intelligence services. Republican and Democratic aides familiar with ongoing defense-spending negotiations in Congress say officials at the National Security Agency (NSA) have approached lawmakers charged with its oversight about opposing an amendment that would prevent it from paying companies for location data instead of obtaining a warrant in court. Introduced by US representatives Warren Davidson and Sara Jacobs, the amendment, first reported by WIRED, would prohibit US military agencies from "purchasing data that would otherwise require a warrant, court order, or subpoena" to obtain. The ban would cover more than half of the US intelligence community, including the NSA, the Defense Intelligence Agency, and the newly formed National Space Intelligence Center, among others."
fatimanta14

Social-Media Account Overseen by Former Navy Noncommissioned Officer Helped Spread Secr... - 0 views

  • A social-media account overseen by&nbsp;a former U.S. Navy noncommissioned officer—a prominent online voice supporting Russia’s war on Ukraine—played a key role in the spread of intelligence documents allegedly leaked by Airman First Class Jack Teixeira, reposting files from obscure online chat rooms.
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    Un compte de médias sociaux supervisé par un ancien sous-officier de la marine américaine, éminente voix en ligne soutenant la guerre de la Russie contre l'Ukraine, a joué un rôle clé dans la diffusion de documents de renseignement prétendument divulgués par l'aviateur de première classe Jack Teixeira.
dumontjose

Analytics and Predictive Models for Social Media - 0 views

  • Analytics &amp; Predictive Models for Social Media
  • Part 1: Information flow in social media (slides) Collecting social media data Extracting and tracking the flow of relevant information Correcting for the effects of missing and incomplete data Predicting and modeling the flow of information Identifying networks of information flow Part 2: Rich user interactions (slides) Predicting and recommending links in network Modeling tie strenght Modeling trust and distrust, frieds and foes How users evaluate one another and the social media content
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    Tutoriel intéressant de l'université Stanford sur les modèles prédictifs pour les médias sociaux
edabou

Daniel Lemire's blog - Daniel Lemire is a computer science professor at the University ... - 4 views

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    Article about computer sciences and social media
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    Science and Technology links (January 16th 2021) You can tell people's political affiliation by image recognition technology.
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