ConceptNet — A Practical Commonsense Reasoning Tool-Kit
BT Technology Journal
Developing Ambient Intelligence: Proceedings of the First International Conference on Ambient Intelligence Developments (AmID'06)
Semantic representation of multimedia content
Knowledge-driven multimedia information extraction and ontology evolution
On the pooling of positive examples with ontology for visual concept learning
MM '11 Proceedings of the 19th ACM international conference on Multimedia
AMR'05 Proceedings of the Third international conference on Adaptive Multimedia Retrieval: user, context, and feedback
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Building intelligent tools for searching, indexing and retrieval applications is needed to congregate the rapidly increasing amount of visual data. This raised the need for building and maintaining ontologies and knowledgebases to support textual semantic representation of visual contents, which is an important block in these applications. This paper proposes a commonsense knowledgebase that forms the link between the visual world and its semantic textual representation. This domain-independent knowledge is provided at different levels of semantics by a fully automated engine that analyses, fuses and integrates previous commonsense knowledgebases. This knowledgebase satisfies the levels of semantic by adding two new levels: temporal event scenarios and psycholinguistic understanding. Statistical properties and an experiment evaluation, show coherency and effectiveness of the proposed knowledgebase in providing the knowledge needed for wide-domain visual applications.