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Integrating Human & Machine Document Annotation for Sensemaking
Prof Simon Buckingham Shum, Ágnes Sándor, Anna De Liddo

This event took place on 11th November 2010 at 2:30pm (14:30 GMT)
Knowledge Media Institute, Berrill Building, The Open University, Milton Keynes, United Kingdom, MK7 6AA

Simon Buckingham Shum, Ágnes Sándor, Anna De Liddo & Michelle Bachler

We report on progress made during the collaboration between KMi's Hypermedia Discourse Group and Ágnes Sándor (Xerox Research Centre Europe, Parsing & Semantics Group). This is the outcome of her 6 week OLnet Project Expert Fellowship at the OU, funded by the Hewlett Foundation, to develop Collective Intelligence for the Open Educational Resources (OER) community.

Our research investigates the overlaps and complementarities between the outputs from human analysts making sense of 120 OER project reports, using KMi's Cohere semantic annotation and knowledge mapping tool, and machine annotation of the corpus by the Xerox Incremental Parser (XIP). XIP's output is imported into Cohere to explore ways to visualize the combined human+machine output, and we present preliminary results from interviews with some of the analysts to elicit their views on XIP's annotations.

PDF verson of the slides available here.

The webcast was open to 100 users

(71 minutes)

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