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Our thinking

A small selection of press articles and papers to which the Seme4 partners and senior management team have contributed.

AI might be a threat to humans but not for the reasons you think

24 January 2015

Professor Sir Nigel Shadbolt in the Guardian on AI (Artificial Intelligence). He discusses the benefits, dangers and ethics of AI. The future and the responsibilities of researchers in the field of AI are also discussed.

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Knowledge Elicitation: Methods, Tools and Techniques

18 January 2015

A paper by Nigel Shadbolt and Paul Smart (a chapter in the book “Evaluation of Human Work” edited by J. R. Wilson and S. Sharples, 4th edition), discussing knowledge elicitation (techniques for obtaining knowledge from an expert) for knowledge intensive systems.

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Why Won’t Aliens Talk to Us? Content and Community Dynamics in Online Citizen Science

10 January 2015

A paper by Markus Luczak-Roesch, Ramine Tinati, Elena Simperl, Max Van Kleek, Nigel Shadbolt and Robert Simpson describing research into 10 “Citizen Science” projects, in which members of the public are involved in scientific research. The study examined the factors that affect user engagement, the discussions between the citizen scientists and the transference of scientific expertise, with over 50 million activities of 250, 000 users being analysed.

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Wendy Hall interviewed in CNET

13 December 2014

Professor Dame Wendy Hall discusses the past, present and future of Web Science, data observatories, Open Data and Social Machines in an interview with Aloysius Low of CNET.

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Improving on Popularity as a Proxy for Generality When Building Tag Hierarchies from Folksonomies

30 November 2014

Designing and building taxonomies (structures for the identification, classification and description of items) for the Web is time consuming and costly. “Folksonomies”, which are created by the website users themselves, have emerged, however, they can be ambiguous and can have an inconsistent structure. This research paper by Fahad Almoqhim, David E. Millard and Nigel Shadbolt, suggests an improved method (based on the Heymann-Benz algorithm).

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