Perhaps the most distinctive feature that accompanies medical data analysis is knowledge; data analysis in medicine strives to discover new and useful knowledge, while using available knowledge to guide the process and incorporate it into discovered models. In these terms, we perform data analysis to extract new findings that either refine or supplement existing knowledge on the problem domain,...

A knowledge digraph de nes a set of semantic (or syntactic) associative relationships among propositions in a text (e.g., Graesser and Clark (1985) conceptual graph structures and the causal network analysis of Trabasso & van den Broek, 1985). This paper introduces the Knowledge Digraph Contribution (KDC) data analysis methodology for quantitatively measuring the degree to which a given knowled...

We analyze the text of an article that appeared in this journal in 2007, publishing the results of a questionnaire in which a number of experts was asked to define the concepts of Data, Information, and Knowledge. We apply standard Information Retrieval techniques to build a list of the most frequent terms in each set of definitions. We then apply Information Extraction techniques to analyze ho...

The paper presents an approach to computational knowledge discovery through the mechanism of bisociation. Bisociative reasoning is at the heart of creative, accidental discovery (e.g., serendipity), and is focused on finding unexpected links by crossing contexts. Contextualization and linking between highly diverse and distributed data and knowledge sources is therefore crucial for the implemen...

the performance evaluation and efficiency measurement of software companies and compare them together as a set of knowledge-based activities due to the unknown of internal processes and stages common to these companies and ignoring these processes in performance evaluation by data envelopment analysis models and how to consider these processes and procedures for calculating efficiency of each s...

Knowledge Management is one of the most important goals of any organization. Therefore, several automatic tools are used for that purpose, e.g. Knowledge Based Systems (KBS), Experts Systems, Data Mining Applications and Computer Aided Decision Systems. The Validation and Verification (V&V) process is fundamental in order to ensure the quality of used knowledge. The usage of Automatic Verificat...