£111.99

Academic Press Web Semantics: Cutting Edge and Future Directions in Healthcare

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Description

Product Description Web Semantics strengthen the description of web resources to exploit them better and make them more meaningful for both humans and machines, thereby contributing to the development of a knowledgeintensive data web. The world is experiencing the movement of concept from data to knowledge and the movement of web from document model to data model. The underlying idea is making the data machine understandable and processable. In the light of these trends, conciliation of Semantic and the Web is of paramount importance for further progress in the area. Web Semantics: Cutting Edge and Future Directions in Healthcare describes the three major components of the study of Semantic Web, namely Representation, Reasoning, and Security with a special focus on the healthcare domain. This book summarizes the trends and current research advances in web semantics, emphasizing the existing tools and techniques, methodologies, and research solutions. It provides easily comprehensible information on Web Semantics including semantics for data and semantics for services. Review A leading-edge look at the emerging field of web semantics as applied to biomedical engineering and in healthcare From the Back Cover The Semantic Web is a web of linked and integrated data that converts data to meaningful information by making use of metadata, providing engineers, researchers and clinicians with richer, more meaningful representations of data, which in turn offer more insight and powerful decision-making capabilities. Web Semantics strengthen the description of web resources in order to exploit them better and make them more meaningful for both human and machines. Being highly interdisciplinary, Semantic Web is an emerging field of research facilitating integration of information from disparate sources. The generic web is composed primarily of unstructured data, such as HTML pages and keyword searches. These searches are not able to discern the type of information on the HTML page, i.e., it is not possible to extract different pieces of data from different web pages about a concept and then give integrated information about the concept. The Semantic Web provides such a facility by creating a web of data that can be processed by machines leveraging machine learning to transform the Web from a distributed file system to a distributed database system. Web Semantics: Cutting Edge and Future Directions in Healthcare describes the three major components of the study of Semantic Web, namely Ontology Engineering, Semantic Annotations, and Reasoning. The book also covers the issues related to the successful deployment of Semantic Web. Further, the book covers innovative applications of Semantic Web by providing a separate section in every chapter for case studies of biomedical engineering and healthcare. About the Author Dr. Sarika Jain graduated from Jawaharlal Nehru University (India) in 2001. Her doctorate is in the field of Knowledge Representation in Artificial Intelligence which was awarded in 2011. She has served in the field of education for over 19 years and is currently working at the National Institute of Technology Kurukshetra (Institute of National Importance), India. Dr. Jain has authored / co-authored over 100 publications including books. Her current research interests include Knowledge Management and Analytics; Semantic Web; Ontological Engineering; and Intelligent Systems. Dr. Jain has supervised two doctoral scholars (5 ongoing) who are now pursuing their post doctorates, one in Spain and the other in Germany. Currently, she is guiding 15 students for their Master’s and Doctoral research work in the area of Knowledge Representation. She is serving as a reviewer for Journals of IEEE, Elsevier, and Springer. She has been involved as a program and steering committee member in many prestigious conferences in India and abroad. She has two research-funded projects: one ongoing project is fund

Product Specifications

Format
Paperback
Domain
Amazon UK
Release Date
09 April 2021
Listed Since
18 December 2019

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No barcode data available

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