Rosina O. Weber

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This commentary provides a definition of textual case-based reasoning (TCBR) and surveys research contributions according to four research questions. We also describe how TCBR can be distinguished from text mining and information retrieval. We conclude with potential directions for TCBR research. 1 What is textual case-based reasoning? Case-based reasoning(More)
Intelligent Jurisprudence Research (IJR) is a concept that consists in performing jurisprudence research with a computational tool that employs Artificial Intelligence (AI) techniques. Jurisprudence research is the search employed by judicial professionals when seeking for past legal situations that may be useful to a legal activity. When humans perform(More)
Lessons learned systems are a common knowledge management initiative among the American government (e.g., Department of Defense, Department of Energy, NASA). An effective lessons learned process can substantially improve decision processes, thus representing an essential chapter in a knowledge sharing digital government. Unfortunately, these systems(More)
Lessons learned processes have been deployed in commercial, government, and military organizations since the late 1980s to capture, store, disseminate, and share experiential working knowledge. However, recent studies have shown that software systems for supporting lesson dissemination do not effectively promote knowledge sharing. We found that the problems(More)
This article describes a knowledge management (KM) approach conceived from countermeasures targeted at addressing failure factors suggested in the literature. In order to counteract failure factors, the approach combines the technology of knowledge-based KM systems, with the flexibility and understanding of knowledge facilitators, and the processes of the(More)
Textual case-based reasoning (TCBR) provides the ability to reason with domain-specific knowledge when experiences exist in text. Ideally, we would like to find an inexpensive way to automatically, efficiently, and accurately represent textual documents as cases. One of the challenges, however, is that current automated methods that manipulate text are not(More)
Knowledge management (KM) systems manipulate organizational knowledge by storing and redistributing corporate memories that are acquired from the organization’s members. In this paper, we introduce a textual casebased reasoning (TCBR) framework for KM systems that manipulates organizational knowledge embedded in artifacts (e.g., best practices, alerts,(More)
When events such as severe weather or congestion interfere with the normal flow of air traffic, air traffic controllers may implement plays that reroute one or more traffic flows. Currently, plays are assessed and selected based on controllers’ experience using the National Playbook, a collection of plays that have worked in the past. This paper introduces(More)