Background: Developing a domain ontology is a complex task. It is necessary to clarify domain concepts and the relationships between and among the concepts. Several taxonomies exit for the medical error domain. However, these taxonomies are divergent in granularity and asymmetry (assigning terms under different categories in different taxonomies). It is difficult to map concepts in different ta...

This review covers Verification, Validation, Confirmation and related subjects for computational fluid dynamics (CFD), including error taxonomies, error estimation and banding, convergence rates, surrogate estimators, nonlinear dynamics, and error estimation for grid adaptation vs Quantification of Uncertainty.

In this paper, we study flat and hierarchical classification strategies in the context of largescale taxonomies. Addressing the problem from a learning-theoretic point of view, we first propose a multi-class, hierarchical data dependent bound on the generalization error of classifiers deployed in large-scale taxonomies. This bound provides an explanation to several empirical results reported in...

We study in this paper flat and hierarchical classification strategies in the context of large-scale taxonomies. To this end, we first propose a multiclass, hierarchical data dependent bound on the generalization error of classifiers deployed in large-scale taxonomies. This bound provides an explanation to several empirical results reported in the literature, related to the performance of flat ...

A critical step towards reducing errors in health care is the collection and assessment of medical error data so that potential harms to patients can be identified and steps taken to prevent or mitigate them. However, no standardized framework for classifying and evaluating such data currently exists. This paper describes our efforts in developing a comprehensive medical error ontology to serve...

The present study intended to investigate the effect of Error Analysis on Iranian intermediate EFL learners’ knowledge of L2 adjectives. The question of this study followed the fact that whether Error Analysis has any effects on intermediate EFL learners’ knowledge of L2 adjectives, In order to find the answer of this question, this article considered some issues about Error Analysis and their ...

Accidents in the process industries can be attributed, at least in part, to human causes. Hazard studies are commonly used in industry to identify and manage risks. This paper describes a methodology, called HumHID, which potentially improves hazard identification associated with human factors. The approach is based on cognitive work analysis (CWA) techniques, human factors/error taxonomies and...

Taxonomic case retrieval systems significantly outperform standard conversational case retrieval systems. However, their feature taxonomies, which are the principal reason for their superior performance, must be manually developed. This is a laborious and error prone process. In an earlier paper, we proposed a framework for automatically acquiring features and organizing them into taxonomies to...