OpenID and the Social Graph

First, full disclosure: I don’t know a lot about OpenID. But I do know that there are some serious issues related to online identity. Here are two of the questions I find most pressing:

  1. How do I create a persistent identity, across all the different web services I use? This is a question of convenience. Registering for a website that I’m going to use once is kind of ridiculous. Even if I wanted to use it again, chances are I will have forgotten my password, or even that I ever registered there in the first place. I could always register again, but that isn’t useful for me, or the service provider.
  2. How do I take ownership of my personal information? This is a privacy and security question. I’m online a lot. There’s a lot of digital information about me that could be gathered up to paint an interesting picture of who I am. Ideally, I should be the person who owns that picture and controls who has access to it.

Now, I’m not saying that OpenID has solved these problems – far from it – but it has created the opportunity for people to test things out and discuss what works and what doesn’t. As far as I can tell, the first issue is being addressed more directly than the second. Still, I don’t think we’re going to have a meaningful approach to the privacy question until we get some more experience with persistent identities.

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My Facebook Status is… Meta

I love checking the status of all my Facebook contacts. I do this whenever I’m bored or need a distraction. I can check them on my phone, so proximity to a computer isn’t a requirement. And, since categorizing things is what I do, I’ve noticed some patterns.

Types of Facebook Status

(Note: All examples are completely made up. Any similarity to any of my Facebook buddies is purely coincidental.)

  1. Cryptic – no one knows what your status means, but it shows off your creative and/or mysterious side. Ex: Rachel is indefatigable.
  2. TMI – sometimes people don’t need to know what you’re up to. Ex: Rachel is getting drunk and going home with strangers.
  3. Inside Joke – only a few people know what your status means, everyone else is saying “huh?” Ex: Rachel is missing blue boy, already.
  4. Meta – you’re breaking down the fourth wall. Ex: Rachel is checking Facebook on the train.
  5. Mood-based – describes how you’re feeling. Ex: Rachel is bored.
  6. Activity-based – describes what you’re doing. Ex: Rachel is shopping.
  7. Location-based – describes where you are. Ex: Rachel is in Washington.
  8. Health-based – describes your physical or mental state. Ex: Rachel is coughing, again.

These types are not mutually exclusive. Someone’s status can be TMI and Activity-based. But everyone’s status fits into at least one of these categories. Want to know the breakdown of the 65 status updates of my Facebook contacts? Continue reading “My Facebook Status is… Meta”

Two Semantic Webs

I was reading this post by Nova Spivack when I finally understood that there are two semantic webs. Nova calls them The Intelligent Web and The Data Web. (I think this is in some way related to the longstanding debate about Semantic Web vs. semantic web, which never really made any sense to me before). To put a slightly different spin on it, I like to think of these as the Orderly Semantic Web and the Chaotic Semantic Web.

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Planting Seeds for the Semantic Web

Eric Miller

A couple weeks ago I brought Eric Miller (of Zepheira and W3C, among other things) into my office to lead a workshop on the Semantic Web. Many of my colleagues are interested in the subject, but with varying levels of familiarity. And none of us are really sure what to do with it yet. My goal in organizing this workshop was to activate and deepen our group’s knowledge, excitement and involvement, vis a vis the semantic web.

For a good five hours we listened and discussed, as Eric gave us some background, presented case studies, told anecdotes and responded to our questions. The information was great, and the inspiration was even more valuable. Eric combines deep knowledge with a keen business sense. He’s able to be visionary while keeping it all in perspective. This is not always true of the brilliant people I’ve met in this industry.

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Enterprise Solutions Summit 2007

Last week my office arranged a summit on Enterprise Solutions. The first day was employees only, so we could discuss the current and future practice of Enterprise Solutions at Avenue A | Razorfish. It was a day full of animated discussion.

Having a strong interest in Content Strategy, the semantic web, and knowledge management, I’ve thought a lot about how these elements could be put to use within an organization, to help support the goals and needs of an enterprise. But I hadn’t had a chance to discuss it with a lot of people that I work with. The summit was attended by people from all different disciplines – technology, strategy, client relations – and I got to see a wide range of perspectives on the issues.

Jimmy Wales

The second day included clients, and we had a range of speakers and use case presentations. Jimmy Wales (founder of Wikipedia) gave a keynote, though in some ways it was more interesting talking to him at the cocktail party the night before. Kind of a mysterious character. He must have people talking to him all the time about their favorite topic, and they’re stunned when he doesn’t have the entire body of knowledge represented by Wikipedia at his immediate disposal.

I say this because I saw him, a couple times, respond to people with what can only be described as pride about his ignorance of some topic or other. I can only imagine that he’s developed this technique as a defensive measure against people who would otherwise say, “But how can you not know about [insert nerdy topic of interest here]??”

I’m as guilty as the next nerd, in this respect. One of my colleagues enthusiastically mentioned that I’m interested in the Semantic Web and Wales responded that he doesn’t get it, and he doses off every time he tries to read the article. I prodded him a little bit, and asked what he thinks of people using Wikipedia to extract concepts and generate ontologies. He said he thinks it’s pretty cool, since, after all, it’s the biggest collection of human knowledge ever.

I had a feeling that was about as far as it was going to go, so I told him that if the movie The Fifth Element were made today, Leeloo would have learned about human life by speed-reading Wikipedia (instead of absorbing encyclopedic video feeds). He seemed to like that idea.

You can read a more thorough account of the highlights of the Enterprise Solution Summit over on Shiv Singh’s Workplace Blog. He also gives a good account of Jimmy Wales’ keynote and the very lively panel that closed out the day.