Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
The Utility of Knowledge in Inductive Learning
Machine Learning
C4.5: programs for machine learning
C4.5: programs for machine learning
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Answering queries from context-sensitive probabilistic knowledge bases
Selected papers from the international workshop on Uncertainty in databases and deductive systems
Advances in Inductive Logic Programming
Advances in Inductive Logic Programming
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
The Cathedral and the Bazaar
Learning Probabilistic Relational Models
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Learning probabilities for noisy first-order rules
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
User interfaces with semi-formal representations: a study of designing argumentation structures
Proceedings of the 10th international conference on Intelligent user interfaces
Designing interfaces for guided collection of knowledge about everyday objects from volunteers
Proceedings of the 10th international conference on Intelligent user interfaces
User-centered consultation by a society of agents
Proceedings of the 3rd international conference on Knowledge capture
Proceedings of the 3rd international conference on Knowledge capture
Machine Learning
KnowWE: community-based knowledge capture with knowledge wikis
Proceedings of the 4th international conference on Knowledge capture
International Journal of Web Engineering and Technology
Query based intelligent web interaction with real world knowledge
New Generation Computing
Automatic identification of quasi-experimental designs for discovering causal knowledge
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Domain knowledge query conversation bots in instant messaging (IM)
Knowledge-Based Systems
An analysis of knowledge collected from volunteer contributors
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Deriving a large scale taxonomy from Wikipedia
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Propagation of Opinions in Structural Graphs
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Machine reading at the University of Washington
FAM-LbR '10 Proceedings of the NAACL HLT 2010 First International Workshop on Formalisms and Methodology for Learning by Reading
Crowdsourcing systems on the World-Wide Web
Communications of the ACM
Taxonomy induction based on a collaboratively built knowledge repository
Artificial Intelligence
Beyond digital incunabula: modeling the next generation of digital libraries
ECDL'06 Proceedings of the 10th European conference on Research and Advanced Technology for Digital Libraries
Morphological annotation of a corpus with a collaborative multiplayer game
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
Enhancing ontology-based antipattern detection using Bayesian networks
Expert Systems with Applications: An International Journal
Open geometry textbook: a case study of knowledge acquisition via collective intelligence
CICM'12 Proceedings of the 11th international conference on Intelligent Computer Mathematics
PKAW'12 Proceedings of the 12th Pacific Rim conference on Knowledge Management and Acquisition for Intelligent Systems
Collaboratively built semi-structured content and Artificial Intelligence: The story so far
Artificial Intelligence
International Journal of e-Collaboration
Linked data in crowdsourcing purposive social network
Proceedings of the 22nd international conference on World Wide Web companion
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Acquiring knowledge has long been the major bottleneck preventing the rapid spread of AI systems. Manual approaches are slow and costly. Machine-learning approaches have limitations in the depth and breadth of knowledge they can acquire. The spread of the Internet has made possible a third solution: building knowledge bases by mass collaboration, with thousands of volunteers contributing simultaneously. While this approach promises large improvements in the speed and cost of knowledge base development, it can only succeed if the problem of ensuring the quality, relevance and consistency of the knowledge is addressed, if contributors are properly motivated, and if the underlying algorithms scale. In this paper we propose an architecture that meets all these desiderata. It uses first-order probabilistic reasoning techniques to combine potentially inconsistent knowledge sources of varying quality, and it uses machine-learning techniques to estimate the quality of knowledge. We evaluate the approach using a series of synthetic knowledge bases and a pilot study in the domain of printer troubleshooting.