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People | Member | Simon Buckingham Shum

Professor of Learning Informatics

I am fundamentally interested in technologies for sensemaking, specifically, which structure discourse to assist reflection and analysis. Examples: D3E, Compendium, ClaiMaker and Cohere.

Keys: Hypermedia Discourse, Narrative Hypermedia, Human-Computer Interaction, Sensemaking Technologies, Cognitive Technologies, Web Discourse, Organizational Memory, Knowledge Management, E-Journals, Scientific Publishing, Peer Review, Concept Mapping

Projects
Evidence Hub
SocialLearn
Hypermedia Discourse
View all 16 Projects

Technologies
Cohere
D3Eprints
Claimaker
View all 6 Technologies


5 Most Recent External Publications

Publications | Visit External Site for Details

Simsek, D., Buckingham Shum, S., Sándor, Á., De Liddo, A. and Ferguson, R. (2013) XIP Dashboard: Visual Analytics from Automated Rhetorical Parsing of Scientific Metadiscourse, Workshop: 1st International Workshop on Discourse-Centric Learning Analytics at Learning Analytics and Knowledge (LAK '13), Leuven, Belgium

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Taibi, D., Sándor, Á., Simsek, D., Buckingham Shum, S., De Liddo, A. and Ferguson, R. (2013) Visualizing the LAK/EDM Literature Using Combined Concept and Rhetorical Sentence Extraction, Demo at Learning Analytics and Knowledge (LAK '13), Leuven, Belgium

Buckingham Shum, S., Aberer, K., Schmidt, A., Bishop, S., Lukowicz, P., anderson, S., Charalabidis, Y., Domingue, J., Freitas, S., Dunwell, I., Edmonds, B., Grey, F., Haklay, M., Karpistsenko, M., Kohlhammer, J., Lewis, J., Pitt, J., Sumner, R. and Helbing, D. (2012) Towards a global participatory platform: democratising open data, complexity science and collective intelligence, European Physical Journal, 214, 1, pp. 109-152, Springer

Publications | Visit External Site for Details

Buckingham Shum, S. and Crick, R. (2012) Learning Dispositions and Transferable Competencies: Pedagogy, Modelling and Learning Analytics, Proc. 2nd International Conference on Learning Analytics & Knowledge, (29 Apr-2 May), Vancouver, BC, ACM Press: New York

Publications | Visit External Site for Details

Ferguson, R. and Buckingham Shum, S. (2012) Social Learning Analytics: Five Approaches, Proc. 2nd International Conference on Learning Analytics & Knowledge, 29 Apr-2 May, Vancouver, BC

View all 112 publications

5 Most Recent Tech Reports


Social Learning Analytics
Techreport ID: kmi-11-01
Date: 2011
Author(s): Simon Buckingham Shum,Rebecca Ferguson
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Designing the Ontological Foundations for Knowledge Domain Analysis Technology: An Interim Report
Techreport ID: kmi-08-02
Date: 2008
Author(s): Neil Benn, Simon Buckingham Shum, John Domingue, Clara Mancini
View Abstract Download PDF


Visualising Discourse Coherence in Non-Linear Documents
Techreport ID: KMI-06-19
Date: 2006
Author(s): Clara Mancini, Donia Scott and Simon Buckingham Shum
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Sensemaking on the Pragmatic Web: A Hypermedia Discourse Perspective
Techreport ID: KMI-06-16
Date: 2006
Author(s): Simon Buckingham Shum
View Abstract Download PDF


Modelling Discourse in Contested Domains: A Semiotic and Cognitive Framework
Techreport ID: KMI-06-14
Date: 2006
Author(s): Clara Mancini, Simon Buckingham Shum
View Abstract Download PDF

View all 43 Tech Reports  

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Knowledge Media Institute | The Open University | Juan Carlos Buckingham Shum

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Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.

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