Publication | Closed Access
Open mind common sense: crowd-sourcing for common sense
14
Citations
2
References
2010
Year
EngineeringKnowledge ExtractionOmcs Knowledge BaseOmcs ProjectCommunicationSemantic WebSemanticsCorpus LinguisticsNatural Language ProcessingData ScienceAnalogyspace AlgorithmComputational LinguisticsCommonsense KnowledgeLanguage StudiesKnowledge DiscoveryCommonsense ReasoningCommon-sense ReasoningComputer ScienceCrowdsourcingSemantic ComputingSemantic NetworkAutomated ReasoningCommon SenseHuman-computer InteractionLinguisticsSemantic Representation
Open Mind Common Sense (OMCS) is a freely available crowd-sourced knowledge base of natural language statements about the world. The goal of Open Mind Common Sense is to provide intuition to AI systems and applications by giving them access to a broad collection of basic information and the computational tools to work with this data. For our system demo, we will be presenting three aspects of the OMCS project: the OMCS knowledge base, the Concept-Net semantic network (Liu and Singh 2004) (Havasi, Speer, and Alonso 2007), and the AnalogySpace algorithm (Speer, Havasi, and Lieberman 2008) which deals well with noisy, user-contributed data.
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