Web Semantics

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. Presents a comprehensive examination of the emerging research in areas of the Semantic Web, including Ontological Engineering, Semantic Annotation, Reasoning and Intelligent Processing, Semantic Search Paradigms, Semantic Web Mining, and Semantic Sentiment AnalysisHelps readers understand key concepts in Semantic Web applications for biomedical engineering and healthcare, including mapping disparate knowledge bases, security issues, multilingual Semantic Web, and integrating databases with knowledge basesIncludes coverage of key application areas of Semantic Web such as Clinical Decision Making, Biodiversity Science, Interactive Healthcare, Intelligent Agent Systems, Decision Support Systems, and Clinical Natural Language Processing