Название: Web Semantics: Cutting Edge and Future Directions in HealthcareАвтор: Sarika Jain, Vishal Jain, Valentina Emilia Balas
Издательство: Academic Press, Elsevier
Год: 2021
Страниц: 271
Язык: английский
Формат: pdf (true)
Размер: 14.8 MB
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 (ML) to transform the Web from a distributed file system to a distributed database system.
Due to many technological trends like IoT, Cloud Computing, Smart Devices, huge data is generated daily and at unprecedented rates. Traditional data techniques and platforms do not prove to be efficient because of issues concerning responsiveness, flexibility, performance, scalability, accuracy, and more. To manage these huge datasets and to store the archives for longer periods, we need granular access to massively evolving datasets. Addressing this gap has been an important and well-recognized interdisciplinary area of Computer Science.
A machine will behave intelligently if the underlying representation scheme exhibits knowledge that can be achieved by representing semantics. Web Semantics strengthen the description of web resources for exploiting them better and making them more meaningful for both human and machine. As semantic web is highly interdisciplinary, it is emerging as a mature field of research that facilitates information integration from variegated sources. Semantic web converts data to meaningful information and is therefore a web of meaningful, linked, and integrated data by virtue of metadata.
As the web connects documents, in the same manner, semantic web connects pieces of information. In addition to publishing data on the World Wide Web, the semantic web is being utilized in enterprises for myriad of use cases. The Artificial Intelligence technologies, the Machine Intelligence technologies, and the semantic web technologies together make up the Semantic Intelligence technologies (SITs).
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.
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.
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