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Big Data, IoT and Semantics
- Source :
- Handbook of Big Data Technologies ISBN: 9783319493398, Handbook of Big Data Technologies
- Publication Year :
- 2017
- Publisher :
- Springer International Publishing, 2017.
-
Abstract
- Big data and the Internet of things are two parallel universes, but they are so close that in most cases they blend together. The amount of devices that connect to the internet grows day by day and they bring millions of data. The IoT generates unprecedented amounts of data and this impacts on the entire big data universe. The IoT and big data are clearly growing apace, and are set to transform many areas of business and everyday life. Semantic technologies play a fundamental role in reducing incompatibilities among data formats and providing an additional layer on which applications can be built, to reason over data and extract new meaningful information. In this chapter we report the most common approaches adopted in dealing with Big Data and IoT problems and explore some of the semantic based solutions which address such problematics.
- Subjects :
- IoT
Computer science
Big data
02 engineering and technology
computer.software_genre
Semantics
Set (abstract data type)
Engineering (all)
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
Business, Management and Accounting (all)
Layer (object-oriented design)
Everyday life
Database
business.industry
Parallel universe
Computer Science (all)
Data science
Economics, Econometrics and Finance (all)2001 Economics, Econometrics and Finance (miscellaneous)
Semantic technology
020201 artificial intelligence & image processing
The Internet
business
Semantic
computer
Subjects
Details
- ISBN :
- 978-3-319-49339-8
- ISBNs :
- 9783319493398
- Database :
- OpenAIRE
- Journal :
- Handbook of Big Data Technologies ISBN: 9783319493398, Handbook of Big Data Technologies
- Accession number :
- edsair.doi.dedup.....223d78de897e461f8cdd89fe892f8383