CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
Learning dictionaries for information extraction by multi-level bootstrapping
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
An integrated environment for knowledge acquisition
Proceedings of the 6th international conference on Intelligent user interfaces
Proceedings of the 7th international conference on Intelligent user interfaces
Toward conversational human-computer interaction
AI Magazine
MnM: Ontology Driven Semi-automatic and Automatic Support for Semantic Markup
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
S-CREAM - Semi-automatic CREAtion of Metadata
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Open Mind Common Sense: Knowledge Acquisition from the General Public
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
The evolution of Protégé: an environment for knowledge-based systems development
International Journal of Human-Computer Studies
Learner: a system for acquiring commonsense knowledge by analogy
Proceedings of the 2nd international conference on Knowledge capture
Building large knowledge bases by mass collaboration
Proceedings of the 2nd international conference on Knowledge capture
Collecting paraphrase corpora from volunteer contributors
Proceedings of the 3rd international conference on Knowledge capture
Building a sense tagged corpus with open mind word expert
WSD '02 Proceedings of the ACL-02 workshop on Word sense disambiguation: recent successes and future directions - Volume 8
Can we derive general world knowledge from texts?
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Methods for domain-independent information extraction from the web: an experimental comparison
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Common sense data acquisition for indoor mobile robots
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
An analysis of knowledge collected from volunteer contributors
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Evaluating classifiers by means of test data with noisy labels
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Addressing the resource bottleneck to create large-scale annotated texts
STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing
Review: interactive knowledge capture in the new millennium: How the semantic web changed everything
The Knowledge Engineering Review
Interactive ontology-based user knowledge acquisition: a case study
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
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
Phrase detectives: Utilizing collective intelligence for internet-scale language resource creation
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special section on internet-scale human problem solving and regular papers
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An emerging approach to knowledge acquisition is to collect statements from volunteer contributors over the Web. In this approach, the design of the acquisition interface is key to focusing on statements of interest, avoiding spurious entries, retaining the contributors, etc. Several such volunteer-contribution-based systems have been deployed to date, each with its own idiosyncratic interface. This paper discusses some key challenges faced by volunteer collection interfaces, and outlines the design features that we have found effective in addressing some aspects of those challenges. The paper discusses how these features have been implemented in deployed collection systems, and reflects on the data collected to extract lessons for future work in this research area.