Abstract
Open Mind Common Sense is a knowledge acquisition system designed to acquire commonsense knowledge from the general public over the web. We describe and evaluate our first fielded system, which enabled the construction of a 450,000 assertion commonsense knowledge base. We then discuss how our second-generation system addresses weaknesses discovered in the first. The new system acquires facts, descriptions, and stories by allowing participants to construct and fill in natural language templates. It employs word-sense disambiguation and methods of clarifying entered knowledge, analogical inference to provide feedback, and allows participants to validate knowledge and in turn each other.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Mueller, E. T. 2000. A calendar with common sense. In Proceedings of the 2000 International Conference on Intelligent User Interfaces, 198–201. New York: Association for Computing Machinery.
Guha, R.V. and Lenat, D. B. 1994. CYC: Enabling agents to work together. Communications of the ACM 37(7): 127–142.
Singh, P. 2002. The public acquisition of commonsense knowledge. In Proceedings of AAAI Spring Symposium: Acquiring (and Using) Linguistic (and World) Knowledge for Information Access. Palo Alto, CA, AAAI.
Davis, E. 1990. Representations of commonsense knowledge. San Mateo, Calif.: Morgan Kaufmann.
Shanahan, M. 1997. Solving the frame problem. Cambridge, Mass.: MIT Press.
Lenat, D. B. 1995. CYC: A large-scale investment in knowledge infrastructure. Communications of the ACM 38(11): 33–38.
Stork, D. 1999. The OpenMind Initiative. IEEE Intelligent Systems 14(3):19–20.
Blythe, J.; Kim, J.; Ramachandran, S.; and Gil, Y. 2001. An integrated environment for knowledge acquisition. In Proceedings of the 2001 International Conference on Intelligent User Interfaces, 13–20.
Blythe, J. and Ramachandran, S. 1999. Knowledge acquisition using an English-based method editor. In Proceedings of the Twelfth Knowledge Acquisition for Knowledge-Based Systems Workshop, Banff, Alberta.
Fuchs, N. E. and Schwitter, R. 1996. Attempto Controlled English (ACE). CLAW 96, First International Workshop on Controlled Language Applications, University of Leuven, Belgium.
Borchardt, G. C. 1992. Understanding Causal Descriptions of Physical Systems. In Proceedings of the Tenth National Conference on Artificial Intelligence, San Jose, CA, 2–8.
Cardie, C. 1997. Empirical Methods in Information Extraction, AI Magazine, 65–79.
Bareiss, R.; Porter, B.; and Murray, K. 1989. Supporting start-to-finish development of knowledge bases. Machine Learning 4, 259–283.
Liu, H., Lieberman, H., Selker, T. 2002. GOOSE: A Goal-Oriented Search Engine With Commonsense. Proceedings of the 2nd International Conference on Adaptive Hypermedia and Adaptive Web Based Systems, (AH2002) Malaga, Spain.
Lieberman, H. and Liu. H. 2002. Adaptive Linking between Text and Photos Using Common Sense Reasoning. In Proceedings of the 2nd International Conference on Adaptive Hypermedia and Adaptive Web Based Systems, (AH2002) Malaga, Spain.
Barry, B. & Davenport. G. 2002. Why Common Sense for Video Production? (Interactive Cinema Technical Report #02-01). Media Lab, MIT.
Mueller, E. T. 1999. A database and lexicon of scripts for ThoughtTreasure. CogPrints ID cog00000555 http://cogprints.soton.ac.uk/
Ide, N. and Véronis, J. (Eds.) 1998. Special Issue on Word Sense Disambiguation. Computational Linguistics, 24(1).
Chklovski, T. and Mihalcea, R. 2002. Building a Sense Tagged Corpus with Open Mind Word Expert. In Proceedings of the Workshop on “Word Sense Disambiguation: Recent Successes and Future Directions”, ACL 2002.
Stork, D. 2001. Toward a Computational Theory of Data Acquisition and Truthing. In Proceedings of Computational Learning Theory (COLT 01), David Helmbold (editor), Springer Series in Computer Science, 2001.
Cypher, A. 1993. Bringing programming to end users. In Watch What I Do: Programming by Demonstration. Cambridge, Mass: MIT Press.
Tallis, M. and Gil., Y. 1999. Designing scripts to guide users in modifying knowledgebased systems. In Proceedings of the Sixteenth National Conference on Artificial Intelligence. AAAI Press.
Gil, Y. 1994. Knowledge refinement in a reflective architecture. In Proceedings of the Twelfth National Conference on Artificial Intelligence.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Singh, P., Lin, T., Mueller, E.T., Lim, G., Perkins, T., Li Zhu, W. (2002). Open Mind Common Sense: Knowledge Acquisition from the General Public. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems 2002: CoopIS, DOA, and ODBASE. OTM 2002. Lecture Notes in Computer Science, vol 2519. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36124-3_77
Download citation
DOI: https://doi.org/10.1007/3-540-36124-3_77
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-00106-5
Online ISBN: 978-3-540-36124-4
eBook Packages: Springer Book Archive