TY - JOUR
T1 - Building a Cognitive Application Using Watson DeepQA
AU - Asakiewicz, Christopher
AU - Stohr, Edward A.
AU - Mahajan, Shrey
AU - Pandey, Lalitkumar
N1 - Publisher Copyright:
© 1999-2012 IEEE.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - DeepQA
KW - IBM Watson
KW - Retrieve and Rank
KW - artificial intelligence
KW - cognitive system
KW - natural language
UR - http://www.scopus.com/inward/record.url?scp=85028750734&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85028750734&partnerID=8YFLogxK
U2 - 10.1109/MITP.2017.3051322
DO - 10.1109/MITP.2017.3051322
M3 - Article
AN - SCOPUS:85028750734
SN - 1520-9202
VL - 19
SP - 36
EP - 44
JO - IT Professional
JF - IT Professional
IS - 4
M1 - 8012322
ER -