scholarly journals Evaluation of the Ontological Knowledge Model/ Ontoloģiskā zināšanu modeļa novērtēšana/ Оценка качества онтологической модели знаний

2014 ◽  
Vol 17 (1) ◽  
Author(s):  
Darya Plinere ◽  
Arkady Borisov
Keyword(s):  
Knowledge Model

Numerical Formats within Risk Disclosures and the Moderating Effect of Investors' Concerns about Management Discretion

2014 ◽  
Vol 90 (3) ◽  
pp. 1149-1168 ◽  
Author(s):  
Mark W. Nelson ◽  
Kathy K. Rupar
Keyword(s):  
Moderating Effect ◽  
Cognitive Capacity ◽  
Persuasion Knowledge ◽  
Knowledge Model ◽  
Accounting Disclosures ◽  
Financial Disclosures ◽  
Risk Judgments ◽  
Risk Disclosures

ABSTRACT We report the results of two experiments that provide evidence that investors' risk judgments are affected by the numerical format used to describe outcomes within accounting disclosures. Consistent with prior research in psychology, investors assess higher risk in response to dollar-formatted disclosures than to equivalent percentage-formatted disclosures. Consistent with the Persuasion Knowledge Model (Friestad and Wright 1994), this effect is moderated when investors have both (1) awareness that management has discretion over format, and (2) sufficient cognitive capacity to consider its implications. Our results provide insight about the effects of current disclosure formats and suggest implications for managers who choose formats, investors who interpret formatted information, and regulators who consider whether to further prescribe the formats that are used in financial disclosures.

DRed and Design Folders: A Way of Capturing, Storing and Passing On Knowledge Generated During Design Projects

2004 ◽  
Author(s):  
Rob H. Bracewell ◽  
Saeema Ahmed ◽  
Ken M. Wallace
Keyword(s):  
Software Tool ◽  
Preliminary Evaluation ◽  
Design Rationale ◽  
Knowledge Model ◽  
Design Data ◽  
Design Work ◽  
High Profile ◽  
Design Projects ◽  
Design Case Study ◽  
Or Team

This paper describes a software tool called DRed (the Design Rationale editor), that allows engineering designers to record their design rationale (DR) at the time of its generation and deliberation. DRed is one of many proposed derivatives of the venerable IBIS concept, but by contrast with other tools of this type, practicing designers appear surprisingly willing to use it. DRed allows the issues addressed, options considered, and associated arguments for and against, to be captured graphically. The software, despite still being essentially a research prototype, is already in use on high profile design projects in an international aerospace company, including the presentation of results of design work to external customers. The paper compares DRed with other IBIS-derived software tools, to explain how it addresses problems that seem to have made them unsuitable for routine use by designers. In addition to the capture and presentation of the DR itself, the set of linked DR graphs can be used to provide a map of the contents of an electronic Design Folder, containing all the documents created by an individual or team during a design project. The structure of the knowledge model instantiated in such a Design Folder is described. By reprising a design case study published at the DTM 2003 conference, concerning the design of a Mobile Arm Support (MAS), the DRed knowledge model is compared with the previously proposed Design Data Model (DDM), to show how it addresses the shortcomings identified in the DDM. Finally the methodology and results of the preliminary evaluation of the use of DRed by aerospace designers are presented.

Identifying trusted similar users using stochastic model and next-closure based knowledge model in online social networks

2018 ◽  
Vol 22 (S6) ◽  
pp. 14625-14635
Author(s):  
A. Christiyana ArulSelvi ◽  
S. Sendhilkumar ◽  
G. S. Mahalakshmi
Keyword(s):  
Social Networks ◽  
Stochastic Model ◽  
Online Social Networks ◽  
Knowledge Model

Design of a manufacturing knowledge model

2008 ◽  
Vol 21 (5) ◽  
pp. 526-539 ◽  
Author(s):  
D. A. Guerra-Zubiaga ◽  
R. I. M. Young
Keyword(s):  
Knowledge Model ◽  
Manufacturing Knowledge

A Tourism Knowledge Model through Topic Modeling from Online Reviews

2021 ◽  
Author(s):  
Valentinus R. Hananto ◽  
Uwe Serdült ◽  
Victor Kryssanov
Keyword(s):  
Topic Modeling ◽  
Online Reviews ◽  
Knowledge Model

Leveraging a Pharmacogenomics Knowledgebase to Formulate a Drug Response Phenotype Terminology for Genomic Medicine (Preprint)

2021 ◽  
Author(s):  
Yiqing Zhao ◽  
Matthew Brush ◽  
Chen Wang ◽  
Hongfang Liu ◽  
Robert R Freimuth
Keyword(s):  
Drug Response ◽  
Genomic Medicine ◽  
Genetic Mutations ◽  
Gene Products ◽  
Knowledge Model ◽  
Knowledge Models ◽  
Response Phenotype ◽  
Structured Knowledge ◽  
High Level ◽  
Clinical Systems

BACKGROUND Despite the increasing evidence of utility of genomic medicine in clinical practice, systematically integrating genomic medicine information and knowledge into clinical systems with a high-level of consistency, scalability, and computability remains challenging. A comprehensive terminology is required for relevant concepts and the associated knowledge model for representing relationships. OBJECTIVE Our study aims to propose a drug response phenotype terminology to represent relationships between genetic variants and drugs in existing knowledge models. METHODS In this study, we leveraged PharmGKB, a comprehensive pharmacogenomics (PGx) knowledgebase, to formulate a terminology for drug response phenotypes that can represent relationships between genetic mutations and treatments. We evaluated coverage of the terminology through manual review of a randomly selected subset of 200 sentences extracted from genetic reports that contained concepts for “Genes and Gene Products” and “Treatments”. RESULTS Results showed that our proposed drug response phenotype terminology could cover 96% of the drug response phenotypes in genetic reports. Among 18,653 sentences that contained both “Genes and Gene Products” and “Treatments”, 3,011 sentences were able to be mapped to a drug response phenotype in our proposed terminology, among which the most discussed drug response phenotypes were response (994), sensitivity (829), and survival (332). In addition, we were able to re-analyze genetic report context incorporating the proposed terminology and enrich our previously proposed PGx knowledge model to reveal relationships between genetic mutations and treatments. CONCLUSIONS In conclusion, we proposed a drug response phenotype terminology that enhanced structured knowledge representation of genomic medicine.

Sign in / Sign up

Export Citation Format

Share Document