Paper Info
Title
Knowledge Engineering for Intelligent Decision Support.
Abstract
Knowledge can be seen as the collection of skills and information an individual (or group) has acquired through experience, while intelligence as the ability to apply such knowledge. In many areas of Artificial Intelligence, we have been focusing for the last 40 years on the formalization and development of automated ways of finding and collecting data, as well as on the construction of models to represent that data adequately in a way that an automated system can make sense of it. However, in order to achieve real artificial intelligence we need to go beyond data and knowledge representation, and deeper into how such a system could, and would, use available knowledge in order to empower and enhance the capabilities of humans in making decisions in real-world applications. From my point of view, an AI should be able to combine automatically acquired data and knowledge together with specific domain expertise from the users that the tool is expected to help.
Year
DOI
Venue
2017
10.24963/ijcai.2017/736
IJCAI
Field
DocType
Citations 
Data science,Intelligent decision support system,Subject-matter expert,Computer science,Knowledge management,Artificial intelligence,Clinical decision support system,R-CAST,Knowledge representation and reasoning,Domain knowledge,Decision support system,Knowledge engineering,Machine learning
Conference
0
PageRank 
References 
Authors
0.34
11
1
Name
Order
Citations
PageRank
Maria Vanina Martinez125926.19