Knowledge modelling with the open source tool myCBR

Building knowledge intensive Case-Based Reasoning applications requires tools that support this on-going process between domain experts and knowledge engineers. In this paper we will introduce how the open source tool myCBR 3 allows for flexible knowledge elicitation and formalisation form CBR and non CBR experts. We detail on myCBR 3 's versatile approach to similarity modelling and will give an overview of the Knowledge Engineering workbench, providing the tools for the modelling process. We underline our presentation with three case studies of knowledge modelling for technical diagnosis and recommendation systems using myCBR 3

Raciocínio baseado em casos como recomendador de conteúdo pedagógico

Orientador : Prof. Dr. Fabiano SilvaDissertação (mestrado) - Universidade Federal do Paraná, Setor de Ciências Exatas, Programa de Pós-Graduação em Informática. Defesa: Curitiba, 31/08/2016Inclui referências : f. 63-67Resumo: Raciocínio baseado em Casos (CBR) e um método para resolver problemas com recuperação de solucões para problemas anteriores. CBR demanda uma representacão de conhecimento que permite o resolvedor a buscar casos similareas atraves de uma pergunta e a taxa de similaridade e dado pela distancia em uma estrutura de arvore, uma ontologia. O objetivo da presente pesquisa e utilizar CBR como uma ferramenta pedagógica atraves de quatro pilares: Raciocínio Baseado em Casos, Representacao de conhecimento, Informatica Educacional e a mediacao do erro na educacao. Considera-se erro como uma questao de importancia no desenvolvimento pedagogico, entao isso deve ser mediado. A mediacao de erro e utilizada como um guia para uma classificaçao quantitativa de exercícios, levando em consideraçao quantas vezes um exercício foi respondido erroneamente, a distancia entre os exercícios da suas similaridades. Esse tipo de classificacao automatica para exercícios em sistemas de apoio educacional e uma das principais contribuições dessa pesquisa. Este trabalho sugere que o ciclo CBR e profícuo no desenvolvimento de uma ferramenta para criaçao automatica de exames. Palavras-chave: raciocínio baseado em casos, mediacao por erros, representacao do conhecimento, informatica educacional.Abstract: Case-based Reasoning (CBR) is a method for solving problems with similar retained solutions. CBR demands a knowledge representation that allows the reasoner to find similar cases by a query and the similarity rate is given by a distance in hierarchical tree structure, an ontology. The main goal of this research is to use CBR as a pedagogical tool supported by three pillars: Case-based reasoning, Knowledge representation and Error Mediation in Education. It is considered that the error has a role of importance in the pedagogical development, so it has to be mediated. The error mediation is used as a rule for a quantitative way of exercises classification, it takes into account how many times an exercise have been uncorrected answered, the distance between exercises gives the similarity between them. This kind of automatically classification for exercises in a educational support systems is one of the main contributions of this research. This work suggests that the CBR cycle is useful in the designing of a tool for automatic creation of exams. Keywords: case-based reasoning, error mediation, knowlodge representation, educational informatics

Knowledge modelling and maintenance in myCBR3

One of the main aspects of knowledge management is the task of knowledge maintenance. Building and running knowledge intensive Case-Based Reasoning applications requires fundamental design decisions during the system design phase with regard to the knowledge maintenance within the system as well as accurate knowledge maintenance approaches within the running system. In this paper we will detail on the design decisions available in the myCBR 3 CBR system design software as well as research in the available and future knowledge maintenance approaches within myCBR 3 CBR. Next to maintaining the standard knowledge of any CBR system, represented by the four knowledge containers after Richter, this paper also presents existing and currently researched approaches to represent and furthermost maintain context knowledge as well as explanatory knowledge within myCBR 3 CBR . We will give an overview of the myCBR 3 CBRs Knowledge Engineering workbench, providing the tools for the modelling and maintenance process and detail on currently explored new features to further integrate knowledge maintenance for context-sensitive and explanation aware CBR systems into our myCBR 3 CBR softwar