Hi Georgi
Georgi Kobilarov a écrit :
Hi Bernard,
Faviki is a service that I have waited for a long time. I used
del.icio.us in the past, but its social component was mostly irrelevant
to me. I want to use a bookmarking service for my own personal benefit
of storing and remembering websites.
In this case, why not simply using your browser bookmarks?
If I think only of personal benefit, the one I see in social bookmarking
is discovering more relevant resources around the ones I know of.
Sharing is a win-win strategy, I think all the history of web
technologies is there to support this thesis.
This social stuff is great if it makes it easier for me to reach my
goal, and the delicious tag recommendation is a good example. People tag
their stuff, and by doing so they help other users. But I would never
contribute to delicious *just* to help other users (and to train the
recommendation algorithm).
Of course. This is not a question of technology, it's the basis of
sociality. Why do we exchange on this forum or other ones?
Here's a fantastic blog post about that relation of personal benefit and
social systems:
http://bokardo.com/archives/the-delicious-lesson/
Well, it's amazing that people need to look at social bookmarking to
re-discover the basic principles of social life.
They are not different for the network.
Faviki has great potential, but IMHO they have to find a way to use
DBpedia's semantic graph to provide additional *personal* value to their
users.
Hanging my favorites on DBpedia concepts is indeed adding personal
values. The auto-completing tagging made me discover already Wikipedia
stuff I did not know. Not to mention other bookmarks that other will tag
with the same. And navigation to related topics and categories makes me
discover more. The personal benefit is obvious for me.
The potential feature of contributing to Wikipedia you've
mentioned is indeed very interesting, but the system has to be built in
a way that these social contributions happen as a side effect of people
using the system because they love it for the personal problems it
solves.
Well this is a strange assertion to me. Why do people contribute to
Wikipedia? What is the personal reward? Don't forget that DBpedia, and
hence the possibility of a tool like Faviki, and of DBpedia being the
backbone of the Linked Data cloud, is just a side effect of the huge
work of the Wikipedia community. Granted DBpedia formalize the
semantics, but if the semantics were not already implicitly embedded in
Wikipedia pages (and first of all, its subject-centic nature), there
would not be anything to build upon. So why would this very community
not use the social semantic loop, the added value of resources
bookmarked on DBpedia concepts, to augment the Wikipedia content itself,
and enter in a virtuous semantic circle? I think we have to see those
tools in the Big Picture of collective intelligence emergence. The
social success of Wikipedia has proven that this is not a void concept.
Cheers
Bernard
Cheers,
Georgi
--
Georgi Kobilarov
Freie Universität Berlin
www.georgikobilarov.com
-Original Message-
From: Bernard Vatant [mailto:[EMAIL PROTECTED]
Sent: Tuesday, May 27, 2008 10:55 AM
To: Georgi Kobilarov
Cc: dbpedia-discussion@lists.sourceforge.net
Subject: Re: [Dbpedia-discussion] Semantic Bookmarking Service: Faviki
Hi Georgi
Thanks for the pointer.
Faviki is indeed great. I'd never be convinced by any social
bookmarking
so far, because I found tags so messy, but I've adopted Faviki right
away (http://www.faviki.com/?s=172) and I don't seem to be alone : the
adoption curve seems to be steep since yesterday.
One interesting potential feature is the feedback towards Wikipedia
editors themselves. They can tap in the resources indexed on their
favourite articles to improve the article content.
So this is a good example to monitor of social semantic feedback.
Bernard
Georgi Kobilarov a écrit :
Hi all,
just found a new semantic bookmarking service called Faviki [1]
which
uses DBpedia for tagging content.
Great stuff :)
But I'm wondering if these guy can show some more value from using
semantic tags.
And I hope they will start publishing their data as Linked Data...
Cheers,
Georgi
[1] http://faviki.com/
--
Georgi Kobilarov
Freie Universität Berlin
www.georgikobilarov.com
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