Semantic Web science and real-world applications

Miltiadis D. Lytras (The American College of Greece, Greece), Naif Aljohani (King Abdulaziz University, Saudi Arabia), Ernesto Damiani (Khalifa University, UAE), Kwok Tai Chui 8City University of Hong Kong, Hong Kong), editors

"This book focuses on information systems discipline and working towards the delivery of the main implications that the semantic web brings to information systems and the information/knowledge society. It discusses the technology of the semantic web in the context of information systems. It establishes knowledge transfer and personal development channels in these areas: academia, industry, and government"--Provided by publisher.

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Year of publication:	[2019]
Other Persons:	Lytras, Miltiadēs (ed.) ; Aljohani, Naif Radi (ed.) ; Damiani, Ernesto (ed.) ; Chui, Kwok Tai (ed.)
Publisher:	Hershey, Pennsylvania : IGI Global

Extent:	1 Online-Ressource (xvi, 399 Seiten)
Series:	Advances in web technologies and engineering (AWTE) book series
Type of publication:	Book / Working Paper
Language:	English
Notes:	Includes bibliographical references and index Restricted to subscribers or individual electronic text purchasers Mode of access: World Wide Web Chapter 1. Company acquisition relations extraction from web pages -- Chapter 2. Executing, comparing, and reusing linked-data-based recommendation algorithms with the allied framework -- Chapter 3. The OSGI SIB: a resilient semantic solution for the internet of things -- Chapter 4. A semantic sensor web architecture in the internet of things -- Chapter 5. Semantic extension for the linked data based on semantically enhanced annotation and reasoning -- Chapter 6. Data replication impact on DDBS system performance -- Chapter 7. Leveraging context-awareness in duty-cycled broadcast wireless sensor networks -- Chapter 8. An efficient recursive localization approach for high-density wireless sensor networks -- Chapter 9. Overview of MERA: an architecture to perform record linkage in music-related databases -- Chapter 10. Sarcasm detection in Twitter data: a supervised approach -- Chapter 11. Towards patient-centric healthcare: multi-version ontology-based personalization of clinical guidelines -- Chapter 12. Learning to suggest hashtags: leveraging semantic features for time-sensitive hashtag recommendation on the twitter network -- Chapter 13. Recent advances in the evaluation of ontology quality Also available in print.
ISBN:	978-1-5225-7187-2 ; 1-5225-7186-8 ; 978-1-5225-7186-5
Other identifiers:	10.4018/978-1-5225-7186-5 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012393303