In this paper Description Logics are presented as a suitable formalism to model the CBR life cycle. We propose a general model to structure the knowledge needed in a CBR system, where adaptation knowledge is explicitly represented. Next, the CBR processes are described based on this model and the CBR system OoFRA is presented as an example of our approach.

Case-based Reasoning (CBR), a method of analogical reasoning which is common and extremely important in human cognition, has only recently emerged as a major reasoning methodology. CBR involves solving new problems by identifying and adapting solutions to similar problems stored in a library of past experiences. The important steps in the inference cycle of CBR are to retrieve cases from the li...

Despite a plethora of research on consumer-brand relationships (CBR) spanning over the past one and half decades, the extant research failed to identify and integrate the attitudinal and behavioural components of CBR in their conceptualization and subsequent operationalization. However, to sustain long term CBR, there is a need for a comprehensive understanding of the antecedents and consequenc...

Parametric, or model-based CBR is being used in IBM projects for knowledge management. This paper provides an overview of the use of CBR in an internal project called TEPM Technology Enabled Project Model. TEPM uses CBR in a collaborative web-based environment to provide reuse support for practitioners doing project work. The paper outlines the knowledge model of an "Asset Advisor" for managing...

Antrodia camphorata grown on germinated brown rice (CBR) was prepared to suppress melanoma development. CBR extracts were divided into hexane, EtOAc, BuOH, and water fractions. Among all the fractions, EtOAc fraction showed the best suppressive effect on B16F10 melanoma cell proliferation by CCK-8 assay. It also showed the increased cell death and the changed cellular morphology after CBR treat...

One advantage of Case-Based Reasoning (CBR) is the relative ease of constructing and maintaining CBR systems, especially as a number of commercial CBR tools are available. However, there are areas of CBR that current tools have not yet addressed. One of these is easing or automating the acquisition of adaptation knowledge. Since tasks like design or planning typically require a significant amou...

This paper looks at EBMT from the perspective of the Case-based Reasoning (CBR) paradigm. We attempt to describe the task of machine translation (MT) seen as a potential application of CBR, and attempt to describe MT in standard CBR terms. The aim is to see if other applications of CBR can suggest better ways to approach EBMT.

Case-Based Reasoning (CBR) means reasoning from experiences (old cases) in an effort to solve problems, critique solutions and explain anomalous situations. The CBR approach to problem-solving and learning has got a lot of attention within the Artificial Intelligence’s community over the last few years, because as an intelligent-systems’ method enables information managers to increase efficienc...