A solid modeling library for the World Wide Web
Computer Networks and ISDN Systems - Special issue on graphics research and education on the World Wide Web
The "What" and "How" of Learning in Design
IEEE Expert: Intelligent Systems and Their Applications
A statistical model for synthesis of detailed facial geometry
ACM SIGGRAPH 2006 Papers
Crowdsourcing user studies with Mechanical Turk
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Retrieving 3D CAD model by freehand sketches for design reuse
Advanced Engineering Informatics
Nesting of two-dimensional irregular parts: an integrated approach
International Journal of Computer Integrated Manufacturing
A survey of content based 3D shape retrieval methods
Multimedia Tools and Applications
Relevance criteria for e-commerce: a crowdsourcing-based experimental analysis
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Geometric reasoning via internet CrowdSourcing
2009 SIAM/ACM Joint Conference on Geometric and Physical Modeling
Fast, cheap, and creative: evaluating translation quality using Amazon's Mechanical Turk
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Fast human classification of 3D object benchmarks
EG 3DOR'10 Proceedings of the 3rd Eurographics conference on 3D Object Retrieval
Concept-based indexing of annotated images using semantic DNA
Engineering Applications of Artificial Intelligence
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Although researchers have developed numerous computational approaches to reasoning and knowledge representation, their implementations are always limited to specific applications (e.g. assembly planning, fault diagnosis or production scheduling) for which bespoke knowledge bases or algorithms have been created. However, ''cloud computing'' has made irrelevant both the physical location and internal processes used by machine intelligence. In other words, the Internet encourages functional processes to be treated as 'black boxes' with which users need only be concerned with posing the right question and interpreting the response. The system asking the questions does not need to know how answers are generated, only that they are available in an appropriate time frame. This paper proposes that Crowdsourcing could provide on-line, 'black-box', reasoning capabilities that could far exceed the capabilities of current AI technologies (i.e. genetic algorithms, neural-nets, case-based reasoning) in terms of flexibility and scope. This paper describes how Crowdsourcing has been deployed in three different reasoning scenarios to carry out industrial tasks that involve significant amounts of tacit (e.g. unformalised) knowledge. The first study reports the application of Crowdsourcing to identify canonical view of 3D CAD models. The qualitative results suggest that the anonymous, Internet, workforce have a good comprehension of 3D geometry. Having established this basic competence the second experiment assesses the Crowd's ability to judge the similarity of 3D components. Comparison of the results with published benchmarks shows a high degree of correspondence. Lastly the performance of the Internet labourers is quantified in a 2D nesting task, where their performance is found to be superior to reported computational algorithms. In all these cases results were returned within a couple of hours and the paper concludes that there is potential for broad application of Crowdsourcing to geometric problem solving in CAD/CAM.