Information Retrieval
Domain-Specific Knowledge Systems in the Brain: The Animate-Inanimate Distinction
Journal of Cognitive Neuroscience
Category-Specific Semantic Deficits in Focal and Widespread Brain Damage: A Computational Account
Journal of Cognitive Neuroscience
Journal of Cognitive Neuroscience
SSERank: semantic search engine for page ranking based on the relations weight
International Journal of Metadata, Semantics and Ontologies
A Bayesian model for entity type disambiguation
AIMSA'10 Proceedings of the 14th international conference on Artificial intelligence: methodology, systems, and applications
Utilization of ontology in health for archetypes constraint enforcement
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part III
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Semantic features are of different importance in concept representation. The concept elephant may be more easily identified from the feature than from the feature . We propose a new model of semantic memory to measure the relevance of semantic features for a concept and use this model to investigate the controversial issue of category specificity. Category-specific patients have an impairment in one domain of knowledge (e.g., living), whereas the other domain (e.g., nonliving) is relatively spared. We show that categories differ in the level of relevance and that, when concepts belonging to living and nonliving categories are equated to this parameter, the category-specific disorder disappears. Our findings suggest that category specificity, as well as other semantic-related effects, may be explained by a semantic memory model in which concepts are represented by semantic features with associated relevance values.