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What is a knowledge portal?. A website. A User Community. Knowledge Exchange. Knowledge Repository. Example: Wikipedia, and other Wikis. Technology: Wiki for collaborative authoring of hyperlinked texts. Projects: Wikipedia, MeatBallWiki, WikiNews, WikiTravel, Wiktionary, etc.

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What is a knowledge portal l.jpg
What is a knowledge portal?

A website

A User Community

Knowledge Exchange

Knowledge Repository


Example wikipedia and other wikis l.jpg
Example: Wikipedia, and other Wikis

Technology: Wiki for collaborative authoring of hyperlinked texts.

Projects: Wikipedia, MeatBallWiki, WikiNews, WikiTravel, Wiktionary, etc.

  • Representation:

    • primary: hyperlinked texts, like HTML

    • conflict resolution: discussion pages, revision history

  • Size:

    • english: 1 Mio. articles/ 1.2 Mio. reg. Users

    • german: 380.000 articles


Example opencps and other question answering l.jpg
Example: OpenCPS, and other Question-Answering

Technology: formatted objects with optional atomic contributions

Projects: Problem-Solving, Question Answering, Forums, etc.

  • Representation:

    • primary: hyperlinked texts, like HTML

    • conflict resolution: discussion pages, revision history

  • Size:

    • english: 1 Mio. articles/ 1.2 Mio. reg. Users

    • german: 380.000 articles


Knowledge sharing dilemma presentation roland m ller markus schaal l.jpg
Knowledge Sharing Dilemma(Presentation: Roland Müller/ Markus Schaal)

To share or not to share („Hoarding“) - that is the Question


Two player knowledge sharing l.jpg

I

R

Two-Player Knowledge Sharing

  • Actionspace (A) per Player - share (s) or hoard (h)

  • Reward per Player - reward: A £ A  O 


Rewards for player a red l.jpg
Rewards for Player A (red)

A hoards, B shares (hs), hs>ss

A,B share (ss), ss>hh

Player B

reward

A,B hoard (hh)

A shares, B hoards (sh), sh<hh

s

h

Player A

h

s


Rewards for player a red7 l.jpg
Rewards for Player A (red)

Player B

reward

s

h

Player A

h

s


Rewards for both players l.jpg
Rewards for both Players

Global Optimum

Player B

reward

Equilibrum

s

h

Player A

h

s


Private vs public l.jpg
Private vs. Public

Private

  • Excludes important experts

  • Bounded number of users

  • Protects private knowledge

  • Explicit incentives

    Public

  • All experts included

  • Many users possible

  • Public knowledge repository

  • Needs time for critical mass


Portals l.jpg
Portals

  • Public Portals

    • an encyclopedia, providing a coverage of universal knowledge of interest

    • a dictionary, providing translations between languages or explanations of specific terms

    • a transport information system, providing the best available route between two doors and starting at a specified time

    • an event information system, providing trusted information about events

    • a governance information system, providing decision support information concerning public decisions and people objections in a structured argumentation framework

    • collaborative authoring of texts

  • Private Portals are often mission-critical and secret

  • Vision: Inter-organizational sharing of non-mission critical knowledge.


How does it work l.jpg
How does it work?

  • Initial Knowledge Creation:

    • Private: Paid Experts, Strong Incentives

    • Public: Altruistic „Idiots“ 

  • Maintenance:

    • Public: Depends on community size, if the value is high enough -> self-running, otherwise -> dying, Winner-Takes-All (Natural monopoly)

    • Private: Incentives


Trusted events l.jpg
Trusted Events

„Is“ Analysis:

  • Event infos everywhere

  • Some trusted sites and newsletters

  • Generally not reliable, better call the organizer

    „To Be“ Analysis:

  • Event Information provided by community

  • Rating system for trusted event information sources

  • Automatic federation of trusted sources

  • „Trusted Events“ as a universal public good


Value vs trust l.jpg
Value vs. Trust

  • Event Information is rated after the event, not the event.

  • Trust Values in [0,1] are computed for past AND FUTURE events.

  • The anticipated trust value is shown to the user.

  • The trust value can be interpreted as

    • probability to take place in the expected manner

    • fuzzy membership in „Event takes place as expected“

  • NOTE: The trust value is NOT the value of the event information.


Trusted events a senior design project l.jpg
„Trusted Events“ – a Senior Design Project

  • 4 students, specializing in trust (1), general architecture (1), gui issues (1) and security (1), respectively.

  • The rest of this session is organized as follows:

    • Presentation of the prototype and general architecture (NN)

    • Presentation of the trust assissment and processing (NN)

    • Presentation of GUI issues and their consideration during design and in the prototype (NN)

    • Presentation of security issues and their consideration during design and in the prototype (NN)