CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
WordNet: a lexical database for English
Communications of the ACM
ConceptNet — A Practical Commonsense Reasoning Tool-Kit
BT Technology Journal
Teaching Machines about Everyday Life
BT Technology Journal
Verbosity: a game for collecting common-sense facts
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Designing games with a purpose
Communications of the ACM - Designing games with a purpose
BagPack: a general framework to represent semantic relations
GEMS '09 Proceedings of the Workshop on Geometrical Models of Natural Language Semantics
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Humans interact with each other using their collection of commonsense knowledge about everyday concepts and their relationships. To establish a similar natural form of interaction with computers, they should be given the same collection of knowledge. Various research works have focused on building large-scale commonsense knowledge that computers can use. But capturing and representing commonsense knowledge into a machine-usable repository, whether manual or automated, are still far from completion. This research explores an approach to acquiring commonsense knowledge through the use of children's stories. Relation extraction templates are also utilized to store the learned knowledge into an ontology, which can then be used by automatic story generators and other applications with children as the target users.