On the use of spreading activation methods in automatic information
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
Information retrieval using word senses: root sense tagging approach
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
An effective approach to document retrieval via utilizing WordNet and recognizing phrases
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
ConceptNet — A Practical Commonsense Reasoning Tool-Kit
BT Technology Journal
The CLEF 2005 cross–language image retrieval track
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Predicting social annotation by spreading activation
ICADL'07 Proceedings of the 10th international conference on Asian digital libraries: looking back 10 years and forging new frontiers
Combining WordNet and ConceptNet for automatic query expansion: a learning approach
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Going beyond the surrounding text to semantically annotate and search digital images
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part I
Query expansion with conceptnet and wordnet: an intrinsic comparison
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
Proceedings of the fifth ACM international conference on Web search and data mining
Diversified query expansion using conceptnet
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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This paper employs ConceptNet, which covers a rich set of commonsense concepts, to retrieve images with text descriptions by focusing on spatial relationships. Evaluation on test data of the 2005 ImageCLEF shows that integrating commonsense knowledge in information retrieval is feasible.