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The Semantic Web: Real-World Applications from Industry (Semantic Web and Beyond)
from Springer
Semantic Web: Real-World Applications from Industry offers a glimpse into the opening door of semantic technologies by means of concentrated examples of semantic applications in real business environments. For quite a while, there has been evidence from academic research and early industrial prototypes that semantic technology can help humans and machines substantially in accessing and using the unprecedented, and exponentially growing, amount of information that the World Wide Web provides. Now semantic technology is moving from academic and industrial research into real products and applications. This book provides a series of case studies which demonstrate how real benefits can be derived from the adoption of semantic technology in popular business domains, such as telecommunication, B2B integration, healthcare, education, and others.
Semantic Web: Real-World Applications from Industry summarizes state-of-the art expertise and practical experiences from outstanding technology showcases. This volume was written as a joint effort of leading experts in the field of semantic technology from various backgrounds and countries, including industry, academia, and government agencies. It combines a detailed description of the challenges and technical solutions with a discussion of the actual results and a wealth of lessons learned, which will be invaluable for future investments into semantic technology.
Semantic Web: Real-World Applications from Industry was designed for industry professionals and researchers interested in the current state and future of semantic technology. This book is also suitable as a secondary advanced-level text or reference for students in computer science.
Foreword by Michael L. Brodie, Chief Scientist, Verizon Communications, Cambridge, USA
Healthcare Knowledge Management: Issues, Advances and Successes (Health Informatics)
from Springer
Healthcare practitioners and managers increasingly find themselves in clinical situations where they have to think fast and process myriad diagnostic test results, medications and past treatment responses in order to make decisions. Effective problem solving in the clinical environment or classroom simulated lab depends on a healthcare professional's immediate access to fresh information. Unable to consult a library for information, the healthcare practitioner must learn to effectively manage knowledge while thinking on their toes.
Knowledge Management (KM) holds the key to this dilemma in the healthcare environment. KM places value on the tacit knowledge that individuals hold within an institution and often makes use of IT to free up the collective wisdom of individuals within an organization. Healthcare Knowledge Management: Issues, Advances and Successes will explore the nature of KM within contemporary healthcare institutions and associated organizations. It will provide readers with an understanding of approaches to the critical nature and use of knowledge by investigating healthcare-based KM systems. Designed to demystify the KM process and demonstrate its applicability in healthcare, this text offers contemporary and clinically-relevant lessons for future organizational implementations.
The editors of this book have assembled a group of international contributors that reflects the diversity of KM applications in the healthcare sector. While many KM texts suffer from pitching theoretical issues at too technical a level, Healthcare Knowledge Management approaches the topic from the more versatile "twin" perspectives of both academia and commerce. This unique text is integrative in nature – a practical guide to managing and developing KM that is underpinned by theory and research.
An image of its former self: how one agency is using electronic content management to say good-bye to paper records.(INFORMATION TECHNOLOGY): An article from: Behavioral Healthcare
This digital document is an article from Behavioral Healthcare, published by Thomson Gale on September 1, 2006. The length of the article is 1174 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.
Citation Details
Title: An image of its former self: how one agency is using electronic content management to say good-bye to paper records.(INFORMATION TECHNOLOGY)
Author: Lindy Shultz
Publication: Behavioral Healthcare (Magazine/Journal)
Date: September 1, 2006
Publisher: Thomson Gale
Volume: 26 Issue: 9 Page: 36(2)
Distributed by Thomson Gale
Designing Smart Homes: The Role of Artificial Intelligence (Lecture Notes in Computer Science)
from Springer
The area of smart homes is fast developing as an emergent area which attracts the synergy of several areas of science. This volume offers a collection of contributions addressing how artificial intelligence (AI), one of the core areas of computer science, can bring the growing area of smart homes to a higher level of functionality where homes can truly realize the long standing dream of proactively helping their inhabitants in an intelligent way.
After an introductory section to describe a smart home scenario and to provide some basic terminology, the following 9 sections turn special attention to a particular exemplar application scenario (provision of healthcare and safety related services to increase the quality of life) exploring the application of specific areas of AI to this scenario.
Knowledge Media in Healthcare: Opportunities and Challenges
from Idea Group Publishing
Because the field of healthcare reflects forms of both explicit and tacit knowledge such as evidence-based knowledge, clinical guidelines and the physician's experience, knowledge media have significant potential in this area. Knowledge Media and Healthcare: Opportunities and Challenges is an innovative new book that strives to show the positive impact that Knowledge Media and communication technology can have on human communication within the field of healthcare.
Because the field of healthcare reflects forms of both explicit and tacit knowledge such as evidence-based knowledge, clinical guidelines and the physician's experience, knowledge media have significant potential in this area. Knowledge Media and Healthcare: Opportunities and Challenges is an innovative new book that strives to show the positive impact that Knowledge Media and communication technology can have on human communication within the field of healthcare.
Artificial Intelligence in Medicine
from Springer
This book constitutes the refereed proceedings of the 8th Conference on Artificial Intelligence in Medicine in Europe, AIME 2001, held in Cascais, Portugal in July 2001. The 31 revised full papers presented together with 30 posters and two invited papers were carefully reviewed and selected from 79 submissions. Among the topics addressed in their context on medical information processing are knowledge management, machine learning, data mining, decision support systems, temporal reasoning, case-based reasoning, planning and scheduling, natural language processing, computer vision, image and signal interpretation, intelligent agents, telemedicine, careflow systems, and cognitive modeling.
Neural Networks & Expert Systems in Medicine & Healthcare (Artificial Intelliigence Series)
by Emmanuel Ifeachor
from World Scientific Publishing Company
Contains the proceedings of the NNESMED 98, which is the 3rd in a series of international conferences on Neural Networks & Expert Systems in Medicine, that has been organised by the Computer Science Department of the University of Pisa.
Knowledge Management for Health Care Procedures: From Knowledge to Global Care, AIME 2007 Workshop K4CARE 2007, Amsterdam, The Netherlands, July 7, 2007, ... Papers (Lecture Notes in Computer Science)
from Springer
This book constitutes the thoroughly refereed post-workshop proceedings of the first AIME 2007 workshop From Knowledge to Global Care, K4CARE 2007, held in Amsterdam, The Netherlands, in July 2007, in conjunction with the 11th International Conference on Artificial Intelligence in Medicine, AIME 2007.
The 10 revised full papers presented together with 2 invited papers were carefully selected during a second round of reviewing and improvement from 14 lectures given at the workshop and are presented in extended version in the book. The papers are organized in topical sections on health care knowledge management, health care knowledge elicitation, health care knowledge transformation, and health care intelligent systems.
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