Скачать или смотреть Automating Wikimedia: Open Knowledge, Linked Data and Search

In this ADM+S event, panelists discuss how the power of search engines has become further entrenched in the wake of the current move to restructure the Web according to the logics of ‘linked data’ and the ‘semantic Web’.

With the goal of sharing information according to structured formats that computers (rather than humans) can easily process and analyse, linked data engineers are developing algorithms that abstract information from fact sharing websites like Wikipedia into short, uniform statements that can be more efficiently shared, compared and analysed. Yet it is often unclear when viewing structured information on search results where the information is coming from – some is from Wikimedia but not all – and whether it is credible. At the same time the Wikimedia Foundation has launched Wikimedia Enterprise a new cross-departmental service of the Wikimedia Foundation available via enterprise.wikimedia.com which aims to provide commercial services for ‘organizations that want to repurpose Wikimedia content in other contexts, providing data services at a large scale’. What are the implications of these recent trends for verifiable search results, fact checking and for the free knowledge movement?

For more information on this event: https://www.admscentre.org.au/event/a...

Speakers:
Dr Amanda Lawrence: Research fellow & Wikimedian in Residence, ADM+S (chair)
Assoc Prof Heather Ford: Head of Discipline for Digital and Social Media, UTS
Liam Wyatt: Senior Program Manager, Wikimedia Foundation
Prof Mark Sanderson: Chief Investigator, ADM+S
Prof Julian Thomas: Director, ADM+S

View transcript: https://www.admscentre.org.au/transcr...