
Defrag Conference (http://defragcon.com) was held at Denver with the goal of getting thinkers, users and innovators in the space of Knowledge Management and Social Networking to discuss and brainstorm ideas/issues and trends in this space.
Every conference has its own charactersitics - this one
- Seems to have had an audience from both the Enterprise/Academic world (British Telecom, UC Berkeley, Siderean etc.) and the Consumer World (Medium, Yahoo, Google, AOL, FeedHub etc.)
- There were about 150 to 200 attendees
- The format was a mixture of single speaker sessions, moderated panel talks and free/open discussions on a topic of attendee’s choice.
Structured Data and Attention
Alex Iskold talked about “Structured Data and Attention” Key points were
- User’s activities (reviewing, tagging, rating etc.) were currently stored in a Silo. There is no easy way of sharing, migrating these attention data across sites.
- e.g. User does a review on Amazon on a book he purchased. Amazon benefits from this review. Amazon uses this to attract more users/offer recommendations. This recommendation however only works within Amazon.
- Since attention data is only stored/accessed per site, it poses two problems.
- It becomes difficult to apply it across other domains - e.g. a site like Netflix could have potentially used the Author’s review on the book to recommend movies based on his feelings
- It makes it difficult to create an aggregated social/collaborative intelligence as the data is spread out and there is no easy way of obtaining/using them.
Hence he calls for a standard to be developed around this issue in the following area.
- Attention Data Interchange Interfaces/APIs
- Attention Data Storage on a Trusted “Third” Party site in a well defined structured format.
Questions asked: What about APML (http://www.apml.org): Alex is appreciative of the eforts put into it - its a good start, however he thinks its too generically structured (tags). He favors more rigidly defined structures e.g. Books, Shopping Items, Movies etc.
Attention Data and User Control
A couple of sessions (featuring Doc Searls, Esther Dyson etc.) talked about the emerging Social Network based applications and the real concerns/issues it brings forth.
Esther pointed out that a lot of sites are collecting Attention Data - but most are NOT sharing what they collect/disseminate with the user. Esther prefers that a strong “Privacy/Rights” structure be worked around “Attention Data”. Users need to feel comfortable using a service and they trust a service when they can control their “Profile”.
Doc Searls spoke on “Customer Reach v/s Vendor Grasp”. He lamented the lack/reduction of customer rights (e.g. Verizon’s 10,000 words Service Agreement). What if Consumers stood up for their rights and came up with their own “agreement” and terms/conditions with each of these “Vendors”? Doc is heading a project called Project VRM (http://cyber.law.harvard.edu/projectvrm/Main_Page) which is working towards providing a framework for “Vendor Relationship Management”
Next Level Discovery/Search Panel
Moderated by Bradely Horowitz from Yahoo with participants from Factiva.com, Krugle.com (Steve), Jabber etc.
The topics of discussions were around Search queries and results. Bradely started off the discussions with the question “Does Search today suck?” and each of the panelists provided their take on it. The consensus seems to be that Search has come a long way - but it still has a long way to go especially in the Enterprise world and also in the non english speaking world.
Today’s main search engines are “Keyword Search” based. These dont always work. Sometimes people would rather use Natural Language based queries. This method has seen very limited success. Some research show that finding answers by asking questions (natural language) is well - “natural”, but using keywords and drilling down/honing on the right result is “learned”.
Bradely described how Yahoo! came up with Yahoo! Answers to solve this problem space (reasons: people like asking questions and obtaining answers and Korean users (which is where Answers conceptually originated) were somewhat at a disadvantage due to the lack of significant index of Korean data)
If querying data was one aspect, consuming the search results was the other end of the problem. Yahoo!, Google et all have so far stuck to displaying ranked results as list of links (An Ask.com commercial mocks this lack of “feature”). Then there are models such as the one eBay Express is experimenting with at http://www.express.ebay.com/ that attempt to provide a “Category/Filter” based approach. Search for “Womens Reebok Shoes” and see how the results are displayed.
Panelists also were of the opinion that comsuming and viewing search results across TimeLines, Geography etc. were also very valuable but very few consumer search sites provide this feature. (Some Enterprise Verticle ones do)
There were some discussions on how “Vertical Search Tools” solved the problem of “Context”.
Steve from Krugle.com offered the example of searching for “python”. Krugle understands this to be the programming language and need not disambiguate it for a snake.
Another challenge facing Search today is in the enormous amount of un-indexed non-web data out there. Jeremie from Jabber expressed hopes that some day there will be a “Collaborative Search Protocol” which facilitates aggregating and consuming search from multiple vertical/generic search engines.
OpenSocial v/s Closed Private
Google’s Kevin Marks made an unscheduled presentation on OpenSocial. It was mainly in response to some concerns/confusions in the industry on its security, usage model etc. Kevin mostly talked about what OpenSocial is and how to go about using it. The slides can be found at http://docs.google.com/TeamPresent?docid=dfng2zqx_35gq33q7. A day earlier some folks at the DeFrag announced “Closed Private” - sort of an anti-thesis to OpenSocial. The discussion was around the concerns/issues surrounding “promiscous”, “open”, social networking sites.
The key points were:
- OpenSocial is still in a very early “Alpha” stage
- Google likes to deploy products in early stages and collect feedbacks - this was a collaborative approach (with partners such as Linked In) and it was thought that its beneficial to announce this and work out the kinks in the “Open”
- The main challenges are in the area of “Identity”. A particular person may have multiple “personas” - s/he may/may not want them to be intermingled.
- Google currently is relying on Container Namespaced Identity (e.g. username@linked.com) and delegated authentication. Identity is not controlled by Google. (Google Account/gmail accounts are not necessarily tied with OpenSocial Identity - though its a possibility in the future)
- The security is left to the individual containers for now (remains to be seen how it works out - we have already seen multiple hacks (http://www.techcrunch.com/2007/11/02/first-opensocial-application-hacked-within-45-minutes/))
I asked Kevin if there were any plans to work on a “Data Format” for Social data interchange -> almost like a OPML type. For e.g. most “social networking” sites have common types of data e.g. “Friend/Buddy List”, “Activities”, “Personal Profile Information”. etc. Is it beneficial to define a data format (Social Netowrk Markup Language :-))? Kevin responded that the current aproach is to use the Atom publishing model and loosely defined “streams” for Activities. There are formats such as “hcards” for contact info, and then there are google namespaced shemas for some data types. There were some conversations around Widget specification standardization (Netvibes UWA?).
It appears that Netvibes announced their own plans around OpenSocial (http://www.techcrunch.com/2007/11/06/netvibes-wants-to-tap-into-other-social-networks/)
Information Overload Panel
Is there an information overload? Or is it just a feeling peculiar to the alpha-geeks? What is the industry doing to solve it? Paul Kedrosky moderated this panel with participation from Will Morris (VP at AOL), Bradley Allen (Siderean), James Altucher (Stockpickr) and Chris Shipley (Guidewire Group)
Will thinks Information Overload is definitely a problem, but so is information “underload”.
Will also believes that serendipitous discovery is quite beneficial too. He then offers myAOL/Mgnet as one of the initiatives that AOL has undertaken in this area (the challenge is in finding the right balance). Will suggests that the fact that the system was able to understand his habits and suggest items such as “British runners in New York Marathon” and “Running Cat” etc. was of good use to him.
(Disclosure: I work on the myAOL/Magnet team at AOL)
Other panelists such as Chris were of the view that there is no such thing as information overload - it depends on the individual and the context.
My take on information overload is that we need to differentiate information into “consumable/interesting data” and “actionable data items” We then have to prioritize and act on actionable items. Interesting data (including the serendipitously discovered articles) can wait for consumption during leisure.
For e.g. the numerous “friend invites” from various social networking sites are “actionable data” - but of a slightly lower priority compared to “finish my design task on creating a OpenSocial based widget”
Booths
Siderean
I visited the booth of Siderean (http://www.siderean.com/) and had a chat with Gary Wright, Director of Western Region Sales who showed me a demo of how they have helped Oracle use the siderean custom integration to obtain “structural” information from their internal blogs, calendars, events etc. The results can be navigated by “People, Timeline, Place etc.” e.g. http://pressroom.oracle.com/prNavigator.jsp
Medium
Medium (https://addons.mozilla.org/en-US/firefox/addon/4365) is a very impressive Firefox plugin that reveals the hidden world of people and activity behind your Firefox browser (impresssive in terms of features/concepts - Not the UI).
Its about “collaborative browsing” - of meeting (online) with people who happen to be browsing the same site as you are - and then discovering what other/related sites these users are on - all in real time. It then provides a way to share/chat with these users.
This concept is definitely not new - Stumble Upon, Delicious etc. have already found a way to provide items based on how other users similar to you have already discovered based on tags/ratings etc. But Medium’s twist on this is the real-time aspect and the “View” - which is an AJAX based sidebar that lets you watch this curious browsing behavior in real time.
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