Knowledge engineering relies on a unified effort of two components for success: 1) a strong expert knowledge back-end, and 2) an effective user interface. We address the latter is...
Victor Chou Hung, Avelino J. Gonzalez, Ronald F. D...
We developed user models of knowledge exploration in a social tagging system to test the expertise rankings generated by a link-structure method and a semantic-structure method. Th...
Abstract. Rapidly changing business requirements necessitate the adhoc composition of expert teams to handle complex business cases. Expertcentric properties such as skills, howeve...
An expert, trying to assess the true distribution over the states of nature, is associated with a preference relation over utility bundles. He prefers f to g if he believes that, a...
Abstract. In order to evaluate the quality of segmentations of an image and assess intra- and inter-expert variability in segmentation performance, an Expectation Maximization (EM)...
We argue that expert finding is sensitive to multiple document features in an organizational intranet. These document features include multiple levels of associations between expe...
Jianhan Zhu, Xiangji Huang, Dawei Song, Stefan M. ...
Autonomous helicopter flight is widely regarded to be a highly challenging control problem. Despite this fact, human experts can reliably fly helicopters through a wide range of m...
For diagnosing dyslexia in early childhood, children have to solve non-writing based, graphical tests. Curently, these tests are processed by a human expert; applying artificial ...
Abstract. Acquiring adaptation knowledge for case-based reasoning systems is a challenging problem. Such knowledge is typically elicited from domain experts or extracted from the c...
This article describes automated tools for increasing organizational awareness within a global enterprise. The MITRE Corporation is the context for the current work, however the t...