Net-Centric Approaches to Intelligence and National Security / Edition 1

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This volume considers the web architectures and recent developments that make net-centric approaches for intelligence and national security possible. The development of net-centric approaches for intelligence, national and homeland security applications has become a major concern in many areas such as defense intelligence and national and international law enforcement agencies, especially since the terrorist attacks of 9/11.
Net-Centric Approaches to Intelligence and National Security presents developments in information integration and recent advances in web services including the concept of the semantic web. Discovery analysis and management of web-available data poses a number of interesting challenges for research in web-based management systems. Intelligent agents and data mining are among the techniques employed. A number of specific systems that are net-centric based in various areas of military applications, intelligence and law enforcement are presented utilizing one or more of such techniques.

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Editorial Reviews

From The Critics
Reviewer: Gary R. MacVicar, MD(Northwestern University Feinberg School of Medicine)
Description: This is a comprehensive book of oncology which emphasizes current evidence pertaining to the clinical care of cancer patients.
Purpose: The editorial board of the book state in the preface that the purpose is to discuss relevant oncology topics with an emphasis on an evidence-based approach to assist the busy clinician in making management decisions which are founded on current literature. Given the large number of patients most clinicians see and the rapid development of new treatments in a number of malignancies, staying "current" is becoming increasingly more difficult. Therefore, a book that summarizes key trials and other clinical evidence in a concise yet comprehensive fashion is valuable. The book meets these objectives.
Audience: According to the editors, this book is relevant for all persons involved in the care of cancer patients including residents, fellows, and practicing oncologists, as well as allied health professionals. The book is appropriately written for this audience. Those with particular interests in prevention, supportive care, or survivorship in relation to cancer would also find this book relevant. The editors are leaders in various disciplines in oncology, and many chapter authors are recognized experts from leading institutions.
Features: A wide variety of topics is covered, including chapters on a comprehensive array of solid and hematologic malignancies. In addition, new, unique, and evolving topics are discussed with chapters on translational sciences, informatics, ethical issues, targetedtherapies, and PET imaging. Supportive oncology and survivorship topics are also included. Many of these chapters contain practical information which is relevant to clinicians. An evidence-based approach is emphasized throughout the book and an effort is made to present current evidence. Most chapters contain a number of useful tables and figures summarizing trial data and presenting clinically relevant information. Multimodality approaches are stressed as well.
Assessment: This is a useful addition to the existing standard oncology textbooks. With its emphasis on current evidence and its comprehensive nature, this is an excellent resource for clinicians seeking answers to clinical questions, updated information regarding current care of cancer patients, and insight into translational sciences, supportive care, and survivorship issues.
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Product Details

Table of Contents

Preface.- Ontologies for the Semantic Web.- Web Services Overview for Net-Centric Operations.- Metadata Concepts to Support a Net-Centric Data Environment.- Distributed Geospatial Intelligence Integration and Interoperability through the GIBD® Portal System.- Analyzing Intelligence Data.- Linking Military Systems with Simulations and Intelligent Agents through Web Services.- A Multi-Agent Architecture for Distributed Domain-Specific Information Integration.- Natural Environment Data Services in Distributed Modeling and Simulation.- Index.

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