KMi Seminars
Cargo cult computer science
This event took place on Friday 02 July 2004 at 13:00

 
Prof. Harold Thimbleby Computer Science Department, University of Wales, United Kingdom

Arguably, computers and communications have changed the world more than any other science or technology. Yet there are a lot of failures, some prominent, many minor, and a widening gap between aspirations and reality - with environmental consequences. Borrowing Richard Feynman's criticism of cargo cult science, I discuss some ways we all are doing cargo cult computer science. To paraphrase Feynman: everywhere we have computers that look like they are doing the right things, but they don't work. After pointing out the widespread problems, the emphasis on the seminar will turn to our own behaviour: the evidence of poor science in research computing, and what we can positively do about it.

The talk naturally relates to software engineering, HCI, and computer science research, including "RAE publishing" more generally. Variations of the talk have been presented before, and it is quite controversial and provocative. Come along and contribute or argue!

 
KMi Seminars 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.

Visit the MMIS website