Using Social Networks to infer personal data

It just occurred to me how different activities on Social Networks can reveal the data that is protected by the privacy policy. For example I tend to keep my birthday private, but still the birthday wishes on my wall reveal the exact data of my birthday to all of those that I tried to hide it from. I am sure there is some research that deals with such dangers in more details.

I am thinking about a framework for consequences: that would, in case you set:

show birthday: only to me.
show wall: to my friends.

tell you:

If some of your friends wish you a happy birthday, the others will know it.

Is it possible that a bit of Expert Systems can make some use here? Is the Semantic Web the solution. Or should we just make everything public and don’t worry about it?

Ganache au Chocolat Noire & Framboise

Melt 200g of Lindt 70% cooking chocolate and 50g of Lindt 85% cooking chocolate in the Microwave (on lower temperature so you don’t burn it). At the same time, heat 250 ml of cream. Put the cream over the chocolate and whip it with a mixer.

Put raspberries on the bottom of glasses and top with the Ganache you made. Cool in the fridge for one hour :)

p.s.

The quality of chocolate is essential. Don’t save money on it!

Evidence of Competence on Linked Data

As a part of my research at Hypios and LaLIC (Sorbonne), I investigate all the sources where we can find evidence of users’ competence. The Linked Data Cloud is full of data, and connections between datasets, but if I wanted to find the experts for a particular topic, I wouldn’t know where to start my search. Because of this I decided to create a map of Linked Data sources and relate them with the type of evidence of competence that they provide.

The first version of the map is published as a page on this blog, and I would like to invite all of you to give your comments and suggest improvements (click on the image to see larger version and the complementary explanations). This map should serve to all the people who are building Semantic Web applications related to competences and experts and help them identify relevant data sources.

Evidence of Competene

If you know of a data source that is not on the map and merits to be there, please do let me know on milan.stankovic@hypios.com. In case you know of a data source relevant for competence and expertise evaluation, that is not a part of Linked Data, do not hesitate to inform me as a new map of not-yet-semantic data sources is coming soon. Maintainers of competence-related vocabularies are also more then welcome to get in touch with me.

A Twitter (Stream) for the Semantic Web : An Idea

In the most recent Hypios blog article, “Is Twitter an Ponzi Scheme?” Jérémie talks about the Twitter life-cycle saying that users first get involved as listeners and recipients of content; then they start retweeting and generating content, and finally they get to follow so many people that they cannot really follow what’s going on and start using bots and automatic tools for posting and promoting their content. His concern is that if we continue that way, we may end up on a Twitter where nobody listens anymore, and machines tweet to machines. He says:

I sometimes envision of a sort of endtime’ scenario: a point where Twitter would become a place where machines tweet and retweet to other machines, where machines welcome other machines by direct messages, where there is only occasionally (if any) human attention to reprogram the way in which the machines interact and alter the content the machines endlessly send to each other.

It made me think. What would be the use of Twitter if there were only bots on it. Why would bots tweet for other bots? Why would they retweet? If machines would not tweet 140 character messages, but data, it could actually have some use. For people, twitter can be used for information sharing. We find interesting information on the Web and post links on Twitter. Then our followers filter it and retweet what they find important and interesting in order to broadcast it further in the network. If Twitter were a network of machines instead of humans, machines could post updates of data they are hosting. Then other machines could see the updates; decide whether they concern them and “retweet” them for their fellow machines. This could be the way to filter the new data that appears on the Web and propagate the relevant one to the “interested” machines.

So, along with making Semantic Twitters, that semantify user-made tweets, building a Twitter for the Semantic Web could also make sense :) All we need is a vocabulary for describing dataset changes (something like this, this, this or this), and a common Twitter-like stream. Such a thing would certainly bring more light to the social life of machines :)

Food, Water, Internet

While I was waiting to have an internet connection installed in my new apartment, it become obvious to me how neglected the need for an internet connection is in France (I am not saying it is better elsewhere). In my opinion, it is a basic human need, like food and water. It should come with the apartment.

It is interesting to take a look at Google Trends. The charts seems to show greater interest for internet that for food and water :)

If we take a look at France, the chart is even more drastic, (maybe reflecting the actual availability of those goods – the more you need it, the more you search for it)

… while on the other side of the world (US):

Certainly something to think about.

New Apartment. New Job. New Mac. New Me :)

Dear readers,

I have been silent for a while, and there are reasons for it. I moved to a new apartment in a much more vivid neighborhood (near Bastille). Compared to Champ de Mars, this new neighborhood has brought light into my life. All the noise, people everywhere, day and night; rich and poor; drunk and busy; everything at once…simply life.

I have also started my PhD at Hypios.com – one of the most interesting places to be in Paris today. Hypios is a startup that is trying to build a marketplace for problems and solutions. It is trying to grow a social network that will be capable to respond to complex problems faced by serious companies. It will enable everybody to put their competences to use. My topic is to develop Social and Semantic Web infrastructure to support this Social Network of problem solvers. It will therefore involve competency modeling, linking competency data to the Linked Data cloud, and many more things. You may expect more ideas on this soon on this blog.

Finally, I’ve got a Mac at Hypios just to make another “new” in the blogpost title :)

Current Location: “On the go”

Last week I was in TGV, going to INRIA in the south of France, and wanted to post a tweet. Since my iPhone application offers to publish my current location along with the tweet it occurred to me how nice would it be to actually disclose my current location. To say to all my friends that I was traveling to Sophia-Antipolis (near Nice). Of course, the iPhone application is not capable to capture this kind of information. It can only capture my current location, in terms of latitude and longitude. But in this case, the exact geographical point is totally irrelevant – what I need to state is that I am in a train with a certain direction, not that at I am passing through a particular spot at a particular moment.

I do not know of an application that could serve for such a use case. Neither do I know of a model that could capture such semantics. In the current version of the Ontology of Online Presence, we have used a simple geographical spot to describe user’s current location. The scenario that I have presented here obviously makes this insufficient, so I will work on a way to improve on a model and allow statement about being on the move.

Social Networks that are Alive

I have been reading ”The Timeless Way of Building” by Cristopher Alexander - a book where he introduces the concept of the quality without a name – something so inherent to humans that it cannot even be named. This quality distinguishes exceptional and extraordinary architectural works from those less worthy. He says

”Places which have this quality invite this quality to come to life in us. And when we have this quality in us, we tend to make it come to life in towns and buildings which we help to build”…”it is the quality of life”.

Indeed, some places are alive and there are people in them. People who perform some activities or just people, being alive – there; and there are places that are simply dead – where nobody stays. It is quite similar with social networks. On some social networks there are many of us, poking each other, twitting, retwitting …while on others there is just a dead interface where nobody comes. Why is that? Why don’t I come to citeulike.org even if I desperately need a way to organize my references and share them with my colleagues? Why don’t I come regularly to bibsonomy.org? And I do go to Facebook and Twitter all the time.

Christopher Alexander states that in architecture

”every place is given its character by certain patterns of events that keep on happening there”.

Some places simply support well our natural patterns of activities – they don’t stand in the way of our natural needs (forces). In those places we feel good and we keep on coming. Could it be the same with virtual places that Social Networks have become?

I keep on using del.icio.us I have a practice of browsing the news every day and frequently I want to save some things for further review. Del.icio.us comes to the place where I need it most (my browser, in the form of a plugin) and does not interfere much – it let’s me do exactly what I need. I also need to recommend links to people that I know who might care to read it – quite easy again. I end up using it without knowing it. Using del.icio.us is not an activity for me, it is an integral part of my natural activity which is news processing.

Twitter also integrates in my life, quite naturally. Whenever I have a need to feel the presence of others and see what they are doing, I go to twitter. It often happens in the metro when I am surrounded by strangers, and need a bond with people I know. If Twitter did not exist I would most probably send text messages to friends to see how they are doing. It is my natural need – like the need of birds in forests to make sounds and communicate their presence and the state of ”being alive”.

A normal thing when I read something that does not keep my attention is to look around, see what’s up. It is a natural drive. When I am reading something online, and it gets boring but I still have to read it, instead of looking around I go to Facebook. The more time I am spending on Facebook, the more boring the work I am doing must be. And yet having a place to ”look around” is a natural need. That is why facebook integrates so well with my life.

So in every social network that I use regularly, there is a natural need that the service supports. And moreover, the service is accessible in the situation, in the context and on the device where the natural need occurs. Those social networks do not impose any behavior to me, they just make it possible for my natural patterns of activities to take place.

I believe that from ”The Timeless Way of Building” we can learn a lot about building in general, and therefore about building Social Networks that are alive, that posses this quality without a name and that integrate in our lives. Collecting good practices for Social Interfaces might be a good start. The moment has certainly come to extract some wisdom from all the experience with hundreds of social networks that exist on the Web and learn how to let quality social networks emerge.

The Logo that was waiting to be discovered

Our research group GOOD OLD AI, from University of Belgrade has recently got a new logo, designed by Uros. The new design reflects the growing nature of the group in every sense: size, ideas, achievements, etc.

And similarly to any life, and to every other great work that is alive, this logo could not have been made from scratch (quoting Christopher Alexander) – it was only discovered by Uros who had enough creativity to let it show its face. The logo was actually there all the time, encoded in the streets of Paris.

You can read more about this logo (that we think to be the biggest logo of any research group ever) here.

Paris Checklist for a True Hedonist (2)

  • A sunny day walk by the Canal Saint-Martin
  • An excursion to Chateau Vaux le Vicomte
  • A Dalloyau cockie
  • A haircut at Coaf1rst, rue Montorgueil
  • Standing on Trocadero in 4am. Only the Tower and you, Paris asleap
  • The best in the world, croissant at Angelina, rue Rivoli
  • A certain window in Passage du Genie
  • La Durée, the full experience
 
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