000 02719cam a2200301zu 4500
001 88955515
003 FRCYB88955515
005 20250108004112.0
006 m o d
007 cr un
008 250108s2021 fr | o|||||0|0|||eng d
020 _a9780128224687
035 _aFRCYB88955515
040 _aFR-PaCSA
_ben
_c
_erda
100 1 _aJain, Sarika
245 0 1 _aWeb Semantics
_bCutting Edge and Future Directions in Healthcare
_c['Jain, Sarika', 'Jain, Vishal', 'Balas, Valentina Emilia']
264 1 _bElsevier Science
_c2021
300 _a p.
336 _btxt
_2rdacontent
337 _bc
_2rdamdedia
338 _bc
_2rdacarrier
650 0 _a
700 0 _aJain, Sarika
700 0 _aJain, Vishal
700 0 _aBalas, Valentina Emilia
856 4 0 _2Cyberlibris
_uhttps://international.scholarvox.com/netsen/book/88955515
_qtext/html
_a
520 _aWeb 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. 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 analysis Helps 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 bases Includes coverage of key application areas of the semantic web, including clinical decision-making, biodiversity science, interactive healthcare, intelligent agent systems, decision support systems, and clinical natural language processing
999 _c79221
_d79221