Similarity-based retrieval of stored objects is one of the main building blocks of a case-based reasoning approach (CBR). Over the last three decades several sophisticated retrieval methods have been developed which are more suitable for many real-world scenarios than the traditional database search. However, the CBR approach and in particular the published retrieval methods do not support suff...

A new approach to separation process synthesis and selection of single separations is presented. The method is based on the reuse of existing design cases by case-based reasoning (CBR). CBR is a method for finding the most similar existing separation designs and for applying the knowledge of their concept to solve new problems. The method has previously been applied for selecting single separat...

INTRODUCTION Bedside teaching is defined as teaching in the presence of a patient, it is a vital component of medical education. The aim of this study was to evaluate the effectiveness of two methods of case based teaching (at the bedside and in the classroom) in the teaching hospitals (for both undergraduates and residents of pediatrics). METHODS Thirty undergraduates and twenty pediatric re...

It is widely believed that the major purpose of foreign language learning is to master the speaking skill of that language. Learners even evaluate their foreign language learning on the basis of their achievement in speaking proficiency. This study discusses different teaching methodologies aimed at the development of task-based language learning, drama and the manifestation of scenario-based t...

This paper explores a method to algorithmically distinguish case-specific facts from potentially reusable or adaptable elements of cases in a textual case-based reasoning (TCBR) system. In the legal domain, documents often contain casespecific facts mixed with case-neutral details of law, precedent, conclusions the attorneys reach by applying their interpretation of the law to the case facts, a...

Textual CBR applications deal with problems that have traditionally been addressed by the Information Retrieval community, namely the handling of textual documents. Since CBR is an AI technique, the questions arise as to what kind of knowledge may enhance the system, where this knowledge comes from, and how it contributes to the performance of such a system. We will address these questions in t...

The General Motors Variation-Reduction Adviser (VRA) is an experience-management system currently in use in most GM assembly centers. Its purpose is to capture and communicate problem-solving events from various quality-control activities. The most important prerequisite to the success of the VRA project was having a community that was already sharing problem-solving experiences, mostly via wri...

To promote discussion at the Fourth Workshop on Textual Case-Based Reasoning (TCBR), we set a workshop challenge. We encouraged all potential workshop participants, individually or in their research groups, to submit a short paper that addressed this challenge. The purpose of this paper is to explain the challenge. We challenged participants to do the following: analyse the corpus of Air Invest...

We envisage retrieval in textual case-based reasoning (TCBR) as an instance of abductive reasoning. The two main subtasks underlying abductive reasoning are ‘hypotheses generation’ where plausible case hypotheses are generated, and ‘hypothesis testing’ where the best hypothesis is selected among these in sequel. The central idea behind the presented two-stage retrieval model for TCBR is that re...

In this paper we will introduce a measure of saturation for unstructured texts of unknown domains. Therefore we will present the Textual Coverage Rate (TCR), a method to determine the IE coverage of unstructured texts using a given vocabulary. We advance efficiency while building vocabulary repositories tailored for given problems and ensure a certain quality of representation. Our approach, wh...