Migrating Psycholinguistic Semantic Feature Norms into Linked Data in Linguistics

Semantic feature norms, originally utilized in the field of psycholinguistics as a tool for studying human semantic representation and computation, have recently attracted the attention of some NLP/IR researchers who wish to improve their task performances. However, currently available semantic feature norms are, by nature, not well-structured, making them difficult to integrate into existing resources of various kinds. In this paper, by examining an actual set of semantic feature norms, we investigate which types of semantic features should be migrated into Linked Data in Linguistics (LDL) and how the migration could be done.