Epistemology Diagrams: Geometric Representation of Knowledge Management of Financial Engineering

2018 ◽  
Author(s):  
Khaldoun Khashanah
2020 ◽  
Vol 15 (4) ◽  
pp. 475-491
Author(s):  
M. Cristina Amoretti ◽  
Marcello Frixione

Wines with geographical indication can be classified and represented by such features as designations of origin, producers, vintage years, alcoholic strength, and grape varieties; these features allow us to define wines in terms of a set of necessary and/or sufficient conditions. However, wines can also be identified by other characteristics, involving their look, smell, and taste; in this case, it is hard to define wines in terms of necessary and/or sufficient conditions, as wine concepts exhibit typicality effects. This is a setback for the design of computer science ontologies aiming to represent wine concepts, since knowledge representation formalisms commonly adopted in this field do not allow for the representation of concepts in terms of typical traits. To solve this problem, we propose to adopt a hybrid approach in which ontology-oriented formalisms are combined with a geometric representation of knowledge based on conceptual spaces. As in conceptual spaces, concepts are identified in terms of a number of quality dimensions. In order to determine those relevant for wine representation, we use the terminology developed by the Italian Association of Sommeliers to describe wines. This will allow us to understand typicality effects about wines, determine prototypes and better exemplars, and measure the degree of similarity between different wines.


Author(s):  
Marco Pedroni

Knowledge management and e-learning have many common elements: both are based on information and knowledge exchange, but the most important element marking this relation is the structure of the knowledge, necessary issue in order to organize and efficiently share the stream of information. CARID, the Academic Centre for Didactic Research and Innovation at the University of Ferrara, has developed a particular method for the representation of knowledge contexts and the support for information streaming, all based on indexes and expansible concept maps.


2011 ◽  
Vol 109 ◽  
pp. 462-465
Author(s):  
Li Jun Tai ◽  
Ru Fu Hu ◽  
Han Zhao

Under collaborative manufacturing the knowledge of manufacture enterprise is regard as representative knowledge resource.The knowledge class of manufacture enterprise is analyzed.In order to content to the requirement of representation of knowledge under network, a knowledge representation model,which combine the topic map with ontology, is presented.The document knowledge abstraction process is defined .An knowledge management system of farm automobile enterprise(NYKWS) is developed.


2008 ◽  
Author(s):  
Elfriede M. Ederer-Fick ◽  
Anita Giener ◽  
Helga Kittl-Satran ◽  
Brigitte Schachner

1999 ◽  
Vol 38 (03) ◽  
pp. 154-157
Author(s):  
W. Fierz ◽  
R. Grütter

AbstractWhen dealing with biological organisms, one has to take into account some peculiarities which significantly affect the representation of knowledge about them. These are complemented by the limitations in the representation of propositional knowledge, i. e. the majority of clinical knowledge, by artificial agents. Thus, the opportunities to automate the management of clinical knowledge are widely restricted to closed contexts and to procedural knowledge. Therefore, in dynamic and complex real-world settings such as health care provision to HIV-infected patients human and artificial agents must collaborate in order to optimize the time/quality antinomy of services provided. If applied to the implementation level, the overall requirement ensues that the language used to model clinical contexts should be both human- and machine-interpretable. The eXtensible Markup Language (XML), which is used to develop an electronic study form, is evaluated against this requirement, and its contribution to collaboration of human and artificial agents in the management of clinical knowledge is analyzed.


CCIT Journal ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 138-148
Author(s):  
H. Abdul Hamid Arribathi ◽  
Dedeh Supriyanti ◽  
Lusyani Sunarya

Information technology is increasingly developing and has a positive impact on the world of education. The implementation of student counseling with a Knowledge Management System is one of the contributions of information technology in the world of education. Many benefits provided by the Student Counseling Knowledge Management System, in managing the knowledge needed by the counselor section to document student consultations. The development and implementation of a KMS counseling system costs more to employ professional staff to maintain and improve; KMS student counseling application; For this reason, it is necessary to design a Cloud Computing-based Student Counseling Knowledge Management System. The research method carried out in the first stage is to collect data and information about Knowledge Management and Student Counseling, and how to use it to create a Knowledge Management System Application, Student Counseling Based on cloud computing. Furthermore, conducting a literature study and literature review, system design is in the form of data architecture compounding, process design, network design, and user interface design. The design results of this system can facilitate educational institutions in conducting online cloud computing-based student counseling


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