Hierarchical conceptual spaces for concept combination

Research output: Contribution to journalArticle (Academic Journal)peer-review

26 Citations (Scopus)
342 Downloads (Pure)


In natural language, unlike formal logic, concepts are inherently flexible and graded. They give different degrees of importance to defining features, allow for different degrees of typicality, and permit a rich array of combination rules. Applications such as natural language processing and semantic search can greatly benefit from a richer representation of natural concepts to capture this flexibility. In this paper we introduce a new hierarchical representation of concepts inspired by Gardenfors’ work on conceptual spaces, which incorporates a probability model of prototypes to account for vague concept boundaries, semantic uncertainty and feature weights within concept ontologies.
Original languageEnglish
Pages (from-to)204-227
Number of pages24
JournalArtificial Intelligence
Early online date6 May 2016
Publication statusPublished - 1 Aug 2016


  • Conceptual spaces
  • Concept combination
  • vagueness

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