论文信息 - Open Mind Commons: An Inquisitive Approach to Learning Common Sense

Open Mind Commons: An Inquisitive Approach to Learning Common Sense

Open Mind Commons is an interface for collecting common sense knowledge from users over the Web. By giving the user many forms of feedback and using inferences by analogy to find appropriate questions to ask, Open Mind Commons can learn well-connected structures of common sense knowledge, refine its existing knowledge, and build analogies that lead to even more powerful inferences.

Robert Speer | R. Speer

[1] Douglas B. Lenat,et al. CYC: a large-scale investment in knowledge infrastructure , 1995, CACM.

[2] Patrick Henry Winston,et al. Learning structural descriptions from examples , 1970 .

[3] Timothy Chklovski,et al. Learner: a system for acquiring commonsense knowledge by analogy , 2003, K-CAP '03.

[4] Henry Lieberman,et al. Can Common Sense uncover cultural differences in computer applications? , 2006, IFIP AI.

[5] Jason Alonso. CSAMOA: A Common Sense Application Model of Architecture , 2007 .

[6] D. Gentner,et al. Structure mapping in analogy and similarity. , 1997 .

[7] Hyemin Chung,et al. GlobalMind - Bridging the Gap Between Different Cultures and Languages with Common-sense Computing , 2006 .

[8] Hugo Liu,et al. ConceptNet — A Practical Commonsense Reasoning Tool-Kit , 2004 .

[9] Martin F. Porter,et al. An algorithm for suffix stripping , 1997, Program.

[10] Erik T. Mueller,et al. Open Mind Common Sense: Knowledge Acquisition from the General Public , 2002, OTM.