Document (#31182)

Title
Forscher erschließen Inhalte von Wiki-Webseiten
Source
BuB. 58(2006) H.10, S.669
Year
2006
Series
Foyer: Information digital
Abstract
Mit einer Erweiterung der Software MediaWiki macht das Forschungsteam Wissensmanagement des Instituts für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB) der Universität Karlsruhe die Inhalte von Websites, die mit MediaWiki geschrieben sind, für Maschinen besser auswertbar.
Content
Das Konzept zur besseren Erschließung der Inhalte geht allerdings nur auf, wenn die WikiAutoren aktiv mitarbeiten. Die Karlsruher Forscher setzen auf eine Kombination aus sozialer und technischer Lösung: Sie hoffen, dass sich auf der Basis ihrer Software »Semantic MediaWiki« eine Art kollektive Indexierung der Wiki-Artikel durch die Autoren entwickelt. »Semantic MediaWiki« wird bereits auf mehreren Websites mit begrenztem Datenvolumen erfolgreich eingesetzt, unter anderen zur Erschließung der Bibel-Inhalte. Nun testen die Karlsruher Forscher, ob ihr Programm auch dem gewaltigen Volumen von Wikipedia gewachsen ist. Die Wikimedia Foundation Inc., Betreiber von Wikipedia, stellt ihnen für den Test rund 50 Gigabyte Inhalt der englischen Wikipedia-Ausgabe zur Verfügung und hat Interesse an einer Zusammenarbeit signalisiert. »Semantic MediaWiki« ist ein einfach zu bedienendes Werkzeug, das auf leistungsstarken semantischen Wissensmanagement-Technologien aufbaut. Die Autoren können mit dem Werkzeug die Querverweise, die sie in ihrem Text als Weiterleitung zu Hintergrundinformationen angeben, typisieren, also kurz erläutern, sowie Zahlenangaben und Fakten im Text als Attribute kennzeichnen. Bei dem Eintrag zu »Ägypten« steht dann zum Beispiel der typisierte Link »ist Land in Afrika«, ein Attribut könnte »Bevölkerung 76000000« sein. Dabei soll jeweils die Landessprache des Eintrags verwendet werden können. Die von den Autoren erzeugten, typisierten Links werden in einer Datenbank als Bezugsgruppen abgelegt; die gekennzeichneten Attribute als feststehende Werte gespeichert. Das versetzt Computer in die Lage, automatisch sinnvolle Antworten auf komplexere Anfragen zu geben; etwa eine Liste zu erzeugen, in der alle Länder Afrikas aufgeführt sind. Die Ländernamen führen als Link zurück zu dem Eintrag, in dem sie stehen."
Footnote
Vgl.: http://ontoworld.org
Theme
Wissensrepräsentation
Object
MediaWiki
Semantic MediaWiki

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