In this paper we address a number of fundamental questions around validation of expert systems (ESs), an emerging field that still lacks of a comprehensive treatment in the literature. The final aim is to get a conceptual framework for ES validation, what is a difficult task because of the immaturity of the field. We analyze ES validation from four points of view. First, we consider the meaning...

To diminish the validation load on busy experts, a bi-directional, many-sided explanation typed multi-step validation method (MMBV) was proposed, which can decrease the validation tasks of experts (Tsuruta et al., 2000). This paper proposes the extension of MMBV. In this method, through the validation results and comments of experts, validation knowledge can be automatically acquired as case-ba...

Ontology is defined as an explicit specification of a conceptualization. The customer ontology is a specific application of ontology to customer domain, which can provide a unified view to customers for better sharing customer knowledge. In this paper, an formal ontology model is constructed using Description Logic, which is a 6-tuples including Term Set, Individual Set, Term Definition Set, In...

In this paper we introduce the topic input validation, analyze its great importance to Web applications and suggest a new comprehensive approach to input validation. The approach has been developed as a result of an evaluation of current input validation approaches that showed that no sufficient solution to common input validation requirements is available at present. The paper describes import...

Validation is a tool of quality assurance which provides confirmation of the quality in equipment system, manufacturing processes, software and testing methods. Validation assures the products with predetermined quality characteristics and attributes can be reproduced consistently/reproducibly with in the established limits of the manufacturing process operation at the manufacturing site. Valid...

Proposed molecular classifiers may be overfit to idiosyncrasies of noisy genomic and proteomic data. Cross-validation methods are often used to obtain estimates of classification accuracy, but both simulations and case studies suggest that, when inappropriate methods are used, bias may ensue. Bias can be bypassed and generalizability can be tested by external (independent) validation. We evalua...

Use of disease simulation models has led to scrutiny of model methods and demand for evidence that models credibly simulate health outcomes. We sought to describe recent obstructive lung disease simulation models and their validation. Medline and EMBASE were used to identify obstructive lung disease simulation models published from January 2000 to June 2006. Publications were reviewed to assess...

Language resources (LRs) are essential for research and application development. In this article we outline relevant principles for LR validation. We argue that the best way to validate LR is to implement it all along the way of LR production and have it carried out by an external and experienced institute, so that this institute can help define the validation criteria in terms of LR specificat...