The domestic encyclopaedia; or, A dictionary of facts, and useful knowledge: : comprehending a concise view of the latest discoveries, inventions, and improvements, chiefly applicable to rural and domestic enconomy; together with descriptions of the most interesting objects of nature and art; the history of men and animals, in a state of health or disease; and practical hints respecting the arts and manufactures, both familiar and commercial. Illustrated with numerous engravings and cuts. In four volumes. Volume first[-fourth]. /

Includes indexes.

Integrating science and management through collaborative learning and better information management

Achieving more sustainable land and water use depends on high-quality information and its improved use. In other words, better linkages are needed between science and management. Since many stakeholders with different relationships to the natural resources are inevitably involved, we suggest that collaborative learning environments and improved information management are prerequisites for integrating science and management. Case studies that deal with resource management issues are presented that illustrate the creation of collaborative learning environments through systems analyses with communities, and an integration of scientific and experiential knowledge of components of the system. This new knowledge needs to be captured and made accessible through innovative information management systems designed collaboratively with users, in forms which fit the users' 'mental models' of how their systems work. A model for linking science and resource management more effectively is suggested. This model entails systems thinking in a collaborative learning environment, and processes to help convergence of views and value systems, and make scientists and different kinds of managers aware of their interdependence. Adaptive management provides a mechanism for applying and refining scientists' and managers' knowledge. Copyright (C) 2003 John Wiley Sons, Ltd.

Objective and behavioural assessment of the emergence from post-traumatic amnesia (PTA)

Primary objective: To determine the profile of resolution of typical PTA behaviours and describe new learning and improvements in self-care during PTA. Research design: Prospective longitudinal study monitoring PTA status, functional learning and behaviours on a daily basis. Methods and procedures: Participants were 69 inpatients with traumatic brain injury who were in PTA. PTA was assessed using the Westmead or Oxford PTA assessments. Functional learning capability was assessed using a routine set of daily tasks and behaviour was assessed using an observational checklist. Data was analysed using descriptive statistics. Main outcomes and results: Challenging behaviours that are typically associated with PTA, such as agitation, aggression and wandering resolved in the early stages of PTA and incidence rates of these behaviours were less than 20%. Independence in self-care and bowel and bladder continence emerged later during resolution of PTA. New learning in functional situations was demonstrated by patients in PTA. Conclusions: It is feasible to begin active rehabilitation focused on functional skills-based learning with patients in the later stages of PTA. Formal assessment of typically observed behaviours during PTA may complement memory-based PTA assessments in determining emergence from PTA.

Using HLT for acquiring, retrieving and publishing knowledge in AKT:position paper

AKT is a major research project applying a variety of technologies to knowledge management. Knowledge is a dynamic, ubiquitous resource, which is to be found equally in an expert's head, under terabytes of data, or explicitly stated in manuals. AKT will extend knowledge management technologies to exploit the potential of the semantic web, covering the use of knowledge over its entire lifecycle, from acquisition to maintenance and deletion. In this paper we discuss how HLT will be used in AKT and how the use of HLT will affect different areas of KM, such as knowledge acquisition, retrieval and publishing.

Background and foreground knowledge in dynamic ontology construction

Ontologies have become a key component in the Semantic Web and Knowledge management. One accepted goal is to construct ontologies from a domain specific set of texts. An ontology reflects the background knowledge used in writing and reading a text. However, a text is an act of knowledge maintenance, in that it re-enforces the background assumptions, alters links and associations in the ontology, and adds new concepts. This means that background knowledge is rarely expressed in a machine interpretable manner. When it is, it is usually in the conceptual boundaries of the domain, e.g. in textbooks or when ideas are borrowed into other domains. We argue that a partial solution to this lies in searching external resources such as specialized glossaries and the internet. We show that a random selection of concept pairs from the Gene Ontology do not occur in a relevant corpus of texts from the journal Nature. In contrast, a significant proportion can be found on the internet. Thus, we conclude that sources external to the domain corpus are necessary for the automatic construction of ontologies.

Managing software engineers and their knowledge

This chapter begins by reviewing the history of software engineering as a profession, especially the so-called software crisis and responses to it, to help focus on what it is that software engineers do. This leads into a discussion of the areas in software engineering that are problematic as a basis for considering knowledge management issues. Some of the previous work on knowledge management in software engineering is then examined, much of it not actually going under a knowledge management title, but rather “learning” or “expertise”. The chapter goes on to consider the potential for knowledge management in software engineering and the different types of knowledge management solutions and strategies that might be adopted, and it touches on the crucial importance of cultural issues. It concludes with a list of challenges that knowledge management in software engineering needs to address.