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KARKAS: a toolkit for creating a knowledge base
KARKAS: a toolkit for creating a knowledge base
     







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04 Август 2022
ON ONE APPROACH TO THE FORMATION OF THE USER INTERFACE WITH THE EXPERT SYSTEM

07 Февраль 2019
MODEL OF HIERARCHICAL FUNCTIONAL SYSTEM FOR CLUSTER ANALYSIS Collection of Scientific Papers of KhNUPS 2(56). Kharkiv, 2018, p. 82 - 88. The model of the hierarchical functional system of the subject area...

24 Апрель 2015
Laboratory workshop on the system "KARKAS" / Computer Based Training Contains laboratory work, the purpose of which is the practical development of skills in the construction of knowledge bases by users using a tool...

Models of knowledge bases

A model is a consistent set of formal elements that describe an entity. The model helps in solving a number of problems, for example, creating interfaces between a system and a person, and a rough estimate of the system's efficiency.
A domain model (DM) is a part of the real world, displayed as a class or set of classes of real objects.
The construction of the subject area (SbA) model is based on the concept of ontology (the science of being, the science of the nature of things and the relationship between them). From the standpoint of artificial intelligence, the term ontology can be used to define a certain mechanism, a method that is used to describe the SbA, in particular, the basic concepts of this area, their properties and relationships between them. In other words, the ontology consists of the SbD objects divided into clusters according to certain criteria, their definitions and attributes, as well as the inference rules associated with them. The ontology is encoded in such a way that objects and properties are available to software agents.
There is no clear boundary between the knowledge base and the ontology of the SbA. Ontologies can be used to represent knowledge about SbA concepts and hypothesized relationships between them, as well as to describe the content of Web pages. In addition, ontologies can be used to build knowledge bases not only for expert systems, but also for any other applications.

Knowledge base models (medicine)

Models of knowledge bases (economics)

Various KB models are considered based on economic information and focused on assessing insurance commercial risks, choosing a software product supplier, determining the borrower's creditworthiness class, and choosing an enterprise strategy. Ontologies were developed using the methodology for constructing knowledge base in the "KARKAS" system.
Video report  Selection of a product supplier
Video report Choosing a deposit

Models of knowledge bases (ecological and economic activity)

The transition from empirical assessments to scientifically based methods of making environmentally sound decisions lies through the creation of expert systems (ES) of environmental monitoring, focused on assessing and predicting the state of the environment under anthropogenic impact.
Various models of knowledge bases in ecological and economic activity are considered: determination of exposure in environmental risk assessment,
identification of the pollutant hazard class, choice of method for cleaning the soilroute for transportation of petroleum products, determination of the source of air pollution, source of soil pollution, selection of water purification systems, identification of the emergency, search for sources of pollution of water resources, analysis of the integrated assessment of the natural environment of the region, selection of air purification filter, choice of financial and economic mechanism for the efficiency of protection of the natural environment.
 
P.S.
Learning systems with elements of artificial intelligence (e-book 2009) Methodological recommendations for the distance course "Informatics and computer technology" (2007 VBA ACCESS) / Методичні рекомендації к дистанционному курсу ″Информатика и компьютерная техника″ (2007 VBA ACCESS)
Modern computer technologies in the organization of self-study of informatics (selected from the monograph 2008) Methodological recommendations for the use of expert learning systems for testing knowledge from the "Informatics" course (2006 tests 1 - 6) / Методичні рекомендації до використання   експертно-навчальних систем для тестування знань з курсу ″Інформатика″(2006 тести 1 - 6)
СLearning systems with elements of artificial intelligence (monograph 2009) / Системи навчання з елементами штучного інтелекту (монографія 2009)
 
 
How to write a test (10 different types of questions)
Models of knowledge bases (monograph 2010) / Моделі баз знань (монографія 2010)
 
 
Methodological recommendations for the control of knowledge based on the ″FRAME″ tool from the educational disciplines "Informatics and computer technology" and "Informatics" for students of the fields of study 0501 "Economics and entrepreneurship" and 0502 "Management" of all forms of education. / Методичні рекомендації до проведення контролю знани на базі інструментального засобу ″КАРКАС″ з навчальних дисциплін "Інформатика і комп'ютерна техніка" та "Інформатика" для студентів напрямів підготовки 0501 "Економіка і підприємництво" та 0502 "Менеджмент" усіх форм начання"
 
Artificial intelligence systems (laboratory workshop 2009) / Системи штучного інтелекту (лабораторний практикум 2009)
 
 
 

Knowledge Base Models (Information Technology)

KB models based on various technical information are presented. Ontologies were developed using the methodology for constructing knowledge base in the "KARKAS" system.

Knowledge base models (other)

KB models based on various technical information are presented. Ontologies were developed using the methodology for constructing knowledge base in the "KARKAS" system.

Models of knowledge bases (tests)

Visual Basic for Application (VBA) Fundamentals Test (Macromedia Flash)
 

Information management test

 
Artificial intelligence test
 

Test English
 


 
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