Towards an ontology of cognitive assistants

Torsten Maier, Jessica Menold, Christopher McComb

Research output: Contribution to journalConference articlepeer-review

7 Scopus citations


Cognitive assistants such as IBM Watson and Siri are at the forefront of social and technological innovation and have the potential to solve many unique problems. However, the lack of standardization and classification within the field impedes critical analysis of existing cognitive assistants and may further inhibit their growth into more useful applications. This paper discusses the development of an ontology, its classes, and subclasses that may serve as a foundation for defining and differentiating CAs. Specifically, the four suggested classes include: learning, intelligence, autonomy, and communication. Various assistants are described and categorized using the proposed system. Our novel ontological framework is the first step towards a classification system for this burgeoning field.

Original languageEnglish (US)
Pages (from-to)2637-2646
Number of pages10
JournalProceedings of the International Conference on Engineering Design, ICED
StatePublished - 2019
Event22nd International Conference on Engineering Design, ICED 2019 - Delft, Netherlands
Duration: Aug 5 2019Aug 8 2019

All Science Journal Classification (ASJC) codes

  • Engineering (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Modeling and Simulation


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