Building a Cognitive Application Using Watson DeepQA

Christopher Asakiewicz, Edward A. Stohr, Shrey Mahajan, Lalitkumar Pandey

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Academic advisors assist students in academic, professional, and personal matters. Successful advising increases applicant yield and student retention, improves graduation rates, and helps students meet educational goals. This work presents a cognitive advising system that answers questions related to a university and its programs. This system uses IBM Watson's cognitive intelligence to identify the question category and then answer the question accordingly. To implement the system, the authors created a four-step systems development process. Their approach will be used as part of a Cognitive Computing in Business course that exposes student teams with diverse skills and backgrounds to both developing and deploying cognitive systems.

Original languageEnglish
Article number8012322
Pages (from-to)36-44
Number of pages9
JournalIT Professional
Volume19
Issue number4
DOIs
StatePublished - 2017

Keywords

  • DeepQA
  • IBM Watson
  • Retrieve and Rank
  • artificial intelligence
  • cognitive system
  • natural language

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