Community-Plattformen: Experten finden und Netzwerke organisieren (Dropping Knowledge)

von Prof. Hans Uszkoreit, DFKI, Saarbrücken

dropping knowledge

Introduction

Situation quite different for

-         emerging knowledge

-         knowledge in a flux

-         alternative hypotheses or schools

-         dynamically developing best practice

–> in these areas the dialogue between PEOPLE has always been the best way to go on

Examples : social and behavioral sciences, humanities, engineering, arts

Also in formal and natural sciences, one can find heated debates

Examples of questions that need discussion: questions on the effects of globalization, cultural tolerance vs. universal ethical culture –> multiple view

What comes together in this research project?

e-learning, web 2.0 + semantic web (noch nicht da): use of semantic metadata for knowledge repositories and use –> ontologies are already in use

Idea: dropping knowledge

  • global initiative to support the free and open sharing of knowledge
  • start: collection of 50000 questions worldwide (via the internet) –> user rating –> reduction to 100 questions, nomination of 112 persons
  • by now: cooperation also with companies to use the process for knowledge management in companies
  • results:
  • different PR actions (starting with a powerful and highly exciting seed event, audiovisual media, film, exhibition)
  • "dropping knowledge living library" of the questions and about 10000 answers –> connection to wikipedia, links to other sources (NGOs, poems, other organizations)
  • Beiträge müssen miteinander verknüpft werden, um den einzelnen Nutzer zu leiten (sonst Problem des information overload) –> Ontologie: vieldimensionale Landkarte der relevanten Wissensdomäne, auf der die Inhalte wie Pflanzungen oder Siedlungen angeordnet werden können.

Wie kann diese Technologie in der Bidlung ausgenutzt werden?

  • Fundgrube von Inhalte für Unterricht in Sozialkunde, politische Bildung, Ökonomie
  • bereits Forderung nach Erweiterung (z.B. "Dossiers" (bereits zusammengestelltes Wissen zu bestimmten Themen), Wissens-Quiz)

Factors for Selection/Prioritzing

  • recency, authority, rating, active use (sich darauf bezogen?), passive use, external relevance –> gehen in die Ontologie
  • Durch Ontologie werden Einzelthemen unter verschiedenen Schlagworten eingeordnet.
Plans

-         user participation in knowledge building (easy submission, more users)

-         input of instances: organizations, people, publications, thematic links

-         input of new relations: aggravating and alleviating factors

Problems

  • users are overwhelmed by the number of contributions
  • they cannot easily grasp the major opinions and camps
  • they have to read through hundreds of postings to get a picture of what’s going on

–> new: new opinions have to be mapped according to opinion