Post on 11-May-2015
description
Web2.0 and KM=
KM2.0
Paolo Massahttp://gnuband.org
GOAL Not a presentation of my work But convey some trends you might not know:
Food for thought Goal: brainstorming about how and if we can
approach these topics from a research point of view about Knowledge Management “I worked on this theory and we might verify it here” “what about combining X and Y?”
So, INTERRUPT ME AND WE DISCUSS!
You! Read a blog? Write a blog?
Know what RSS is? Use a news (RSS) reader?
Know what Microformats are?
Know what a wiki is? Write on a wiki (at least once)?
Know what del.icio.us is? Use del.icio.us? Citeulike?
Know what Flickr.com is? Use Flickr.com?
Know what a folksonomy is?
Use Facebook, MySpace, Orkut ... or similar? Linkedin?
If I say something obvious, tell me to move on!
Topics
1. social development of folksonomies/taxonomies (del.icio.us, flickr, citeulike, connotea, penntags, ...), tags, tag clouds
2. wikis as collaborative environments for knowledge creation and management
3.[NOT TODAY] social networks (+blogs) and related data representation and manipulation (Microformats, RSS, ATOM, API, Mashups, ...)
Collective Knowledge Underline assumption: Knowledge production and management does not
happen inside one person. It happens when there are many persons. It happens “between” the persons.
Web2.0 ?!? Term proposed by O'Reilly Very controversial and fuzzy http://www.google.it/search?q=web2.0
Results: about 33,800,000 Websites for web2.0. aaa http://www.google.it/search?q=web2.0
Web2.what?!? Warning: the presentation is buzzwordsplenty! ;)
http://headrush.typepad.com/creating_passionate_users/2005/03/the_new_geek_sp.html
Web2.0 and KM For the purpose of KM, Web2.0 key feature:
Users participation (architecture of participation) Users add value (wikipedia, del.icio.us, flickr, digg,
youtube, free software/open source, blogs, ... readwrite web ... cornucopia of the commons, wisdom of the crowds, ...)
Topics
1. social development of folksonomies/taxonomies (del.icio.us, flickr, citeulike, connotea, penntags, ...), tags, tag clouds
2. wikis as collaborative environments for knowledge creation and management
3. social networks (+blogs) and related data representation and manipulation (Microformats, RSS, ATOM, API, Mashups, ...)
Bookmarking is so Web1.0 From personal bookmarking ...
Image from http://www.ethanzuckerman.com/blog/?p=512
Del.icio.us ... to social booksmarking
Image from http://www.ethanzuckerman.com/blog/?p=512
Del.icio.us (2) A small difference (bookmarks are public by default)
made a huge difference! You can be informed of what your “friends” (people you
trust and admire) bookmark! You can see what is popular at the moment!
Image from http://www.ethanzuckerman.com/blog/?p=512
How knowledge is managed on delicious Tags: free text! Not use trees of concepts, but flat categorization (easier)
Find what other users tagged as “africa”
Flat vs tree don't care about “which africa” or where africa is
placed in (my) tree of concepts flat = cognitively easier very messy, overloading, ambiguous, fuzzy, spam
but works well enough, now. disambiguating between apple (fruit,computer,ny) is not
hard http://www.flickr.com/photos/tags/apple/clusters/
Tags Users contribution is a must! Simplicity is key! Folksonomy (flat strings, no structure). Before there was taxonomy (Yahoo!)
Image from http://www.ethanzuckerman.com/blog/?p=512
‘•Other users who bookmarked this same link
– Leads to users who are doing similar things (( discovery)
– They also gave other tags to this link (( increasing semantic field)
– They bookmarked other links (( inspiration)
Folksonomies: more examples Flickr (photos) Connotea, citeulike, penntag (scientific papers) taggato (resources of comune di Torino) youtube (videos) last.fm (songs, musicians, ...)
Folksonomy Taxonomy created by the people (folk) Must read!
Ontology is Overrated: Categories, Links, and Tags http://www.shirky.com/writings/ontology_overrated.html
Folksonomies: power to the people (emanuel quintarelli)
Folksonomy / Taxonomy tags evolve and represent what matters to people
fbk? dkm_at_fbk? web3.0? toread? me? These data are easily available (API) Opportunities for research: DISCUSS!
Verify on real data if a certain theory are true or useful. Similarity with common taxonomies? Different words?
Different synonyms? Evolution? Logic? Properties? Ontology generation? Knowledge adoption/diffusion? Social network (who follows whom)? Recommendations (“for:phauly”) of items or users?
Topics (2)
1. social development of folksonomies/taxonomies (del.icio.us, flickr, citeulike, connotea, penntags, ...), tags, tag clouds
2. wikis as collaborative environments for knowledge creation and management
3. social networks (+blogs) and related data representation and manipulation (Microformats, RSS, ATOM, API, Mashups, ...)
Wikipedia Usercontributed encyclopedia. Everyone can create new
concepts or edit old ones!!!
Image from http://www.ethanzuckerman.com/blog/?p=512
Would have you bet on this mechanism 5 years ago? Revisit “what is possible” and “what not”.
Users contribution!
Like free software but for content!
Neutral Point of View An interesting Knowledges challenge: “can we all (!)
agree on the meanings of words?”
Image from http://www.ethanzuckerman.com/blog/?p=512
Edit wars are extremely insightful!
Have a look at the “history” page to see users contributions
Wikis: opportunity for reseach It is extremely easy to get data from (media)wikis.
http://meta.wikimedia.org/wiki/Help:Export Wikimania2008 conference. Alexandria,Egypt http://en.wikipedia.org/wiki/Wikipedia:Wikipedia_in_ac
ademic_studies Warning: lot of very fresh research! Difficult to
understand what is already there. If possible better work on your own wiki!
Wikis: opportunity for reseach. DISCUSS! Theories to test on it?
Trustlet: analyze the relationships between users (edit wars, messages, coediting, contributions, ...)
Structure of categories: taxonomy? Ontology creation? Semantic Web wiki?
Network of pages: sim/diff with wordnet and other less participative approaches? Extract concept similarity from net?
How knowledge gets created (who first starts a page, who polishes it, who wikifies it, who adds links, ....)
Experts vs Amateurs (Citizendium / Wikipedia) Neutral point of view? Edit wars? How reach consensus? Trends? Evolution in time?
Topics
1. social development of folksonomies/taxonomies (del.icio.us, flickr, citeulike, connotea, penntags, ...), tags, tag clouds
2. wikis as collaborative environments for knowledge creation and management
3. social networks (+blogs) and related data representation and manipulation (Microformats, RSS, ATOM, API, Mashups, ...)
Microformats a set of simple open data format standards that many (including
Technorati) are actively developing and implementing for more/better structured blogging and web microcontent publishing in general.
a way of thinking about data adapted to current behaviors and usage patterns ("Pave the cow
paths." Adam Rifkin http://ifindkarma.typepad.com/relax/2004/12/microformats.html
AKA lowercase semantic web, AKA lossless XHTML http://microformats.org
Microformat principles * solve a specific problem
* start as simple as possible
solve simpler problems first, make evolutionary improvements * design for humans first, machines second
be presentable and parsable visible data is better than invisible metadata adapt to current behaviors and usage patterns, e.g. (X)HTML, blogging
* reuse building blocks from widely adopted standards
semantic (X)HTML * modularity / embeddability
design to be reused and embedded inside existing formats and microformats * enable and encourage decentralized and distributed development, content, services
explicitly encourage the original "spirit of the Web"
Strength of microformats * Microformats are limited in scope by design * The goal is always to create a simple solution to
a narrowly defined problem * Anyone can create a microformat * Creation, evolution, adoption, and iteration
happen on very short time scales * Conflict is possible, is not inevitable, can be
constructive
Microformats * hCalendar (Calendars and Events) * hCard (People and Organizations) * RelLicense (Licenses) * RelNoFollow (Robots Exclusion) * RelTag (Tags, Keywords, Categories) * XFN (Social Networks) * XMDP (http://gmpg.org/xmdp/) * XOXO (Lists and Outlines) * VoteLinks, hReview (Opinions, Ratings and
Reviews)
XFM=Xhtml Friend Network● Microformats formalize existing practice, rather
than establish new practices●
● Bloggers have long been linking to other blogs, and treating destination blogs as a representation of the person who created that blog.
XFM=Xhtml Friend Network (examples)
● As an example, we all could say:● <a href="http://tantek.org" rel="met">● because we have physically met Tantek●
● I might say:● <a href="http://tantek.org" rel="friend">● because I consider him a friend (and hope the
rev is true :)
Case Study: hReview● * Call for participation put out 23 April 2005● * On 29 April 2005—that's six days—v0.1 was done
and published– Input and support from representatives of America
Online, CommerceNet Labs, Microsoft, Six Apart, Technorati, and Yahoo!
● * Defines eleven properties that are relevant to reviewing, well, anything—records, restaurants, concerts, classes, presentations
● * Review sites are already expressing interest and adding hReview markup to their content
Hreview Example● <div class="hreview">
● <span><span class="rating">5</span> out of 5 stars</span>
● <h4 class="summary"><span class="item fn">Crepes on Cole</span> is awesome</h4>
● <span>Reviewer: <span class="reviewer fn">Tantek</span>
● <abbr class="dtreview" title="20050418T23000700">April 18, 2005</abbr></span>
● <blockquote class="description"><p>Crepes on Cole is one of the best little creperies in San Francisco.Excellent food and service. Plenty of ... </p></blockquote>
● <p>Visit date: <span>April 2005</span></p>
● <p>Food eaten: <span>Florentine crepe</span></p>
● </div>
People and Events● * Very common "structures" on weblogs● * Create explicit structures● o in order to easily publish, index, aggregate● * Minimize impact on authors (and developers)● * Avoid duplicating all content● o Avoid requiring file uploads
hCard● <div class="vcard"> ● <a class="url" href="http://tantek.com/">● <span class="n" style="display:none"> <! hide this from
display with CSS >● <span class="familyname">Çelik</span>● <span class="givenname">Tantek</span> ● </span>● <span class="fn">Tantek Çelik</span>● </a>● <div class="org"><span class="organization
name">Technorati</span></div>● </div>
Why?● Simple: From “conceive” to “ship” in 1 hour!● Incremental● Participative
Social networks Future of KM http://www.ahtgroup.com/futurekm.htm Social networks. Traditional organisational charts and business
process maps tell you very little about how work is actually performed in an organisation. The reality is that work and knowledge flow in often highly informal patterns, based on who people actually communicate with in doing their work. Social network analysis is being applied by many leading companies around the world to gain insights into this "invisible organisation," and to design interventions that enhance the productivity and effectiveness of knowledge work.
Social networks Future of KM http://www.ahtgroup.com/futurekm.htm Relevance. In a world of massive information overload, we want
to see only information that is highly relevant to our work and interests. Among the many evolving technologies that support this, there are two key practices that will be central to enhancing information relevance. Implicit profiling learns from what we search for and look at, when, and for how long, to improve over time at understanding what we find useful. Collaborative filtering allows us to draw on the insights and discoveries of people who have similar profiles and interests to us. Amazon.com uses similar approaches in a basic form to point us to books and CDs we might like. The future lies in finding relevance for individuals from vast oceans of information.