This document discusses semantic web, big data, and the Internet of Things (IoT) from the perspective of a system engineer. It describes how semantic web technologies can make web information machine-understandable. It provides examples of semantic web applications for intelligent search and knowledge management. It also discusses trends around the massive growth of data and explores how system engineers can help develop technologies to address issues of portability, interoperability, and scalability for IoT applications. Finally, it shares examples of IoT platforms and applications for smart homes and public parking lots.

1. 1
System Engineer Viewpoint to
Semantic Web and Big Data
Technology
2012.11.19
Youngsung Son

2. Semantic Web
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 Machine Understandable Information about Web
resources or other things
– Tim Berners-Lee, W3C, 1997
 Web (HTML, HTTP, URI)
– How to use it for machine as data
 Semantic Web Elements
– URI, XML, RDF, OWL
– RDFS, SPARQL, …

3. Semantic Web Layer Cake
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4. Semantic Web Applications
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 Intelligent Search
– Naver Semantic Movie Search
– Google Knowledge Graph
– BBC Program Search
– …
 Knowledge Management
– Digital Library
– Hospital – eHealth, Medicine, Disease, …
–…

5. Societal Trends
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 Data Explosion
– Internet, Web, email, …
– SmartMedia, SNS, image, video, …
– Database by Corporation & Government
– The Internet of Things (IoT)
 Scale of Things to Come
– In 2002, 22 Exabyte (1018)
– In 2006, 161 EB
– In 2010, 988 EB (almost 1 ZB)
– In 2011, 1.8 zettabytes (1.8 trillion gigabytes)

6. If System Engineer meet Semantic Web?
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Artificial Assistance
ICT system can change the world better!
Wireless, Wearable Computer
Google Self-Driving Car Power Grid Management

7. The Internet of Things
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 Everything can
connect to Internet
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10. Components of IoT
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 Contextual reasoning
– How to improve application capacity to sense, understand, and
reason about complex and dynamic data and situation?
 Knowledge representations and interaction
techniques
– How to augment cognitive reasoning with perceptual reasoning
through visual representations and interactions?
 Data Representations and transformations
– How to transform data into a representation that is appropriate to
the reasoning task and effectively patch the important content?
 Production, presentation, and dissemination
– How to convey analytical results in meaningful ways to various
audiences?

11. Requirements of System Engineer
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 Portability
 Interoperability
 Scalability
 Productivity

12. XML is a good data format. But …
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XML???
Something Wrong!!!

13. Interoperability
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Transformable Technology is required!!!

14. Sensor Discovery on Linked Data
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http://www.w3.org/2005/Incubator/ssn/wiki/Sensor_Discovery_on_Linked_Data

15. Extending the Web to objects
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16. Contexualization of Things
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Things Context

17. IoT Entity Model
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Frieder Ganz, Payam Barnaghi, Francois Carrez and Klaus Moessner, "Context-aware Management for Sensor Networks",
in the Fifth International Conference on COMmunication System softWAre and middlewaRE (COMSWARE11), July 2011.

18. IoT Platform for Real-World and Digital
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Objects
Suparna De, Tarek Elsaleh, Payam Barnaghi , Stefan Meissner, "An Internet of Things Platform for Real-World and Digital Objects",
Journal of Scalable Computing: Practice and Experience, vol 13, no.1, 2012.

19. IoT Applications Featured Smart Home
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 Functional Model of IoT’ed Smart Home

20. Spime Watch: Pachube
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https://cosm.com/?pachube_redirect=true

21. IoT example – Public Parking Lots
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http://goo.gl/x7jc8

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Everyone is fighting their own battle
To be free from the past
To live in their present
And to create their future

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Thanks