Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Representations of commonsense knowledge
Representations of commonsense knowledge
CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
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
Adaptive Linking between Text and Photos Using Common Sense Reasoning
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Performance issues and error analysis in an open-domain question answering system
ACM Transactions on Information Systems (TOIS)
Makebelieve: using commonsense knowledge to generate stories
Eighteenth national conference on Artificial intelligence
The design of knowledge-rich browsing interfaces for retrieval in digital libraries
The design of knowledge-rich browsing interfaces for retrieval in digital libraries
Collecting commonsense experiences
Proceedings of the 2nd international conference on Knowledge capture
Collecting commonsense experiences
Proceedings of the 2nd international conference on Knowledge capture
Introduction: progress in formal commonsense reasoning
Artificial Intelligence - Special issue on logical formalizations and commonsense reasoning
ConceptNet — A Practical Commonsense Reasoning Tool-Kit
BT Technology Journal
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
Understanding script-based stories using commonsense reasoning
Cognitive Systems Research
Media Fabric — A Process-Oriented Approach to Media Creation and Exchange
BT Technology Journal
BT Technology Journal
BT Technology Journal
ComicKit: acquiring story scripts using common sense feedback
Proceedings of the 10th international conference on Intelligent user interfaces
Augmenting kitchen appliances with a shared context using knowledge about daily events
Proceedings of the 11th international conference on Intelligent user interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Clustering and indexing of experience sequences for popularity-driven recommendations
Proceedings of the 3rd ACM workshop on Continuous archival and retrival of personal experences
Synesthetic recipes: foraging for food with the family, in taste-space
SIGGRAPH '05 ACM SIGGRAPH 2005 Posters
KeyGraph-based chance discovery for mobile contents management system
International Journal of Knowledge-based and Intelligent Engineering Systems - Chance discovery
Towards a generic framework for situated collaborative storytelling
IE '08 Proceedings of the 5th Australasian Conference on Interactive Entertainment
Interactive Storytelling System Using Recycle-Based Story Knowledge
ICIDS '09 Proceedings of the 2nd Joint International Conference on Interactive Digital Storytelling: Interactive Storytelling
Generating cartoon-style summary of daily life with multimedia mobile devices
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
Episodic memory for ubiquitous multimedia contents management system
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
No Code Required: Giving Users Tools to Transform the Web
No Code Required: Giving Users Tools to Transform the Web
Commonsense knowledge acquisition through children's stories
PKAW'12 Proceedings of the 12th Pacific Rim conference on Knowledge Management and Acquisition for Intelligent Systems
Mind the gap: collecting commonsense data about simple experiences
Proceedings of the 2013 international conference on Intelligent user interfaces
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In order to build software that can deeply understand people and our problems, we require computational tools that give machines the capacity to learn and reason about everyday life. We describe three commonsense knowledge bases that take unconventional approaches to representing, acquiring, and reasoning with large quantities of commonsense knowledge. Each adopts a different approach — ConceptNet is a large-scale semantic network, LifeNet is a probabilistic graphical model, and StoryNet is a database of story-scripts. We describe the evolution, architecture and operation of these three systems, and conclude with a discussion of how we might combine them into an integrated commonsense reasoning system.