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Internet of Things – Towards New Frontiers of Knowledge Management

This talk will introduce to the main concepts of Internet of Things, present specific applications and open the space for future research challenges of massive amount of data which has to managed and processed in order to derive value.

Florian Michahelles

on 13 November 2012

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Transcript of Internet of Things – Towards New Frontiers of Knowledge Management

Future Kiosk Hybrid Shopping Thank you very much! A playful approach of crowsourcing barcode master-data Crowsourcing 25 days online
400 users
1016 products uploaded
1426 product inspections Internet of Things RFID
WSN atomic components
to link the world } } Challenges identification




user - interface Internet-oriented thing-oriented Together with industry and GS1
we architect the infrastructure of the Internet of Things Luigi Atzori, Antonio Iera, Giacomo Morabito. The Internet of Things: A survey, Computer Networks 54 (2010) 2787,805. [source: Bob Williams, What is the Real Business Case for the Internet of Things?, Synthesis Journal, iTSC, 2008] Augmented Reality Which data to capture?
What sensors to measure?
How to correlate sensor readings across multiple devices?
How to interpret data with regards to context of use?
How to represent thing knowledge?
Whate business incentives to share knowledge? allow clients to play a more active role as agents of production
enable businesses to develop by sharing existing resources.
efficient distribution thanks to permanent and ubiquitous connectivity
enabling collaboration and interaction between the different agents across the network openly sharing: -> open source
tap into specialist knowledge from contributors and participants
creating communities of collaborating devices
allows problems to be solved quickly and accurately.
diagnostic approaches are captured and readily available for reuse accurate,
and rapid. http://casaleggio.it/internet_of_things/ http://www.harborresearch.com/_literature_60961/The_Internet_of_Things_Meets_The_Internet_of_People manage real time demand they don’t need to create prediction models nor carry buffer stocks. pachube.org Collaborative Business Model blur between producers and consumers Insurance as a feature [ Source: Consolvo, McDonald, Landay: Theory-Driven Design Strategies for Technologies that Support Behavior Change in Everyday Life. CHI 2009.] tracking of behavior
garden metaphor for visualization [source: Consolvo, McDonald, Landay: Theory-Driven Design Strategies for Technologies that Support Behavior Change in Everyday Life. CHI 2009.] feedback on transportation behavior Embedded Innovators Solutionist Aggregator Synergist product-centric service offerings
preemptive predictions
investigate lifecycle (e.g. maintenance, replenishement) focus on associated activities
model new processes
high-value activies Source: GE requirements, financing, installing, testing,
maintaining, repleneshing, training, scanning, interpreting, updating... focus on multi-vendor data integration
vertical integration instead of product lifecycle
managing relationships
data processing, analytics, warehousing
revenue: selling information services service integration service integration multiple-vendor integration multiple-vendor integration provision of data-points
products providing data
focus on community building source: source: http://openxcplatform.com/ source: http://www.koubachi.com source: http://www.senseaware.com/process/index.html source: http://shop.greengoose.com/ source: Leonardo Bonanni, Matthew Hockenberry, David Zwarg, Chris Csikszentmihalyi, and Hiroshi Ishii. 2010. Small business applications of sourcemap: a web tool for sustainable design and supply chain transparency. In Proceedings of the 28th international conference on Human factors in computing systems (CHI '10). ACM, New York, NY, USA, 937-946. source: senseable.mit.edu/copenhagenwheel/ source: www.arduino.cc Internet of Things –
Towards New Frontiers of Knowledge Management Florian Michahelles, Auto-ID Labs/ETH Zurich
autoidlabs.ch florian-michahelles.blogspot.com IC3K 2012 Barcelona, October 4, 2012 Luigi Atzori, Antonio Iera, Giacomo Morabito. The Internet of Things: A survey, Computer Networks 54 (2010) 2787,805. source: Drivers Product Twitter Virtual value chain iot2012.org established sphere of networked information Budde, A., Michahelles, F.: Product Empire - Serious playing with barcodes : Internet of Things 2010 Conference (IoT2010), Tokyo, 2010 [http://www.systems-thinking.org/kmgmt/kmgmt.htm] Data is a collection meaningless numbers (raw input)
Information relates to description, definition, or perspective (what, who, when, where).
Knowledge comprises strategy, practice, method, or approach (how).
Wisdom embodies principle, insight, moral, or archetype (why). Internet of Things Bill of Rights Data should be released in at least one format, protocol, and API with the following characteristics:
free, public documentation
royalty-free to use, indefinitely
open source parsers/libraries available

Data should be released:
without imposed delay, based on the accessibility principle above
at the resolution at which it has been acquired
to the data subject for as long as the provider hosts the data and for at least a pre-agreed duration of time

Data subjects should have the rights:
to know what data is being collected about them, by whom, and for what stated purpose;
to consent to that collection;
and to take such measures as are necessary to prevent the collection attempt if they do not consent to it.

Data controllers should inform data subjects that deleting all copies of data may be technically unfeasible once published. http://openiotassembly.com/ Knowledge Mgmt: wisdom from people-data
Internet of Things: wisdom from thing-data Research Questions
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