This case study outlines the role Red Ninja Studios played in the user-led design and development of data driven web applications that explore the Internet of Things, the challenges of Big Data and how Hypercat streamlines the development process and mash-up of data to create value.

1. Internet of things TSB project
CASE STUDY: DATA
DRIVEN APPLICATIONS
V1.20
Xi Sizhe, Lead Developer
Steven Hassall, Senior Designer
Lee Omar, CEO
5.3

2. Red Ninja Studios
This case study outlines the role
Red Ninja Studios played in the user-led
design and development of data driven
web applications that explore the
Internet of Things, the challenges of
Big Data and how Hypercat
streamlines the development process
and mash-up of data to create value.
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3. THE CHALLENGE OF
INTEROPERABILITY
IN THE INTERNET OF THINGS
• Lack of context awareness: Sensor data is not helpful and we need to integrate
with other objects and make the sensor data become knowledge that can be re-
used and shared (aware of location, time, event)
• Each vendor has it’s own API, with different syntax; Decoupling Publishers and
consumers – inconsistent Semantic / Ontology means not data driven
• App developers are data consumers and knowledge base builders, who
receive many datasets that are combined to create value. The datasets are
typically beyond the control of app developers, so moving forward and by
collaborating with data publishers such as AlertMe, EnLight, Intellisense.io and
Hypercat (1248.io), we can establish semantic data and quickly explore
contextual data that is pragmatic and in line with IOT and open web thinking
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4. Hypercat: Linking Data
• Hypercat will help future developments as app’s
must be context aware and semantic metadata
exposes information at the application level that is
understandable at the machine level
• Hypercat encourages the standardisation of open
data and API’s when accessing third party data,
promoting intuitive and intelligent app
development, across devices and in keeping with
the spirit of the internet of things
• Hypercat provides interoperability of data
between data publisher and data consumer and
separates the responsibility between them (one
for tagging and one for linking)
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5. EXTRACTING VALUE
FROM BIG DATA VIA CO-CREATION
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Problem Available Resources Solution
AlertMe smart sensor installed in
Willow room at ARM, Cambridge
?
We participated in focus groups
and interviewed employees
across the various departments at
ARM’s Cambridge campus to try
and get a real understanding of
day to day working life and ensure
a user led design approach to our
process.
From the co-creation process, we
identified the following common
problems experienced by
employees; meeting room
availability, heating comfort issues
and raising awareness of energy
efficiency.
Our solution would utilise Hypercat to
access internet of things (IOT) assets
published via AlertMe, EnLight and
Intellisense.io and ARM. Assets
include; motion, light, temperature,
parking sensors and HVAC systems
and room data.

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8. Meeting Room App
• PROBLEM: A person books a room from 3pm to 5pm, leaves
the room at 4pm and then the room is left empty for an hour.
With a high demand for meeting space, employee’s are often
left frustrated
• SOLUTION: Use the live motion sensor data to see instantly
which rooms are available
• Simple Logic: Pink means unavailable and blue means available
• Compliments not replaces the existing Outlook room booking
system and empowers users with a more responsive
experience when searching for room availability
• By crawling motion sensor and location data via Hypercat
catalogs and linking them together, we created a knowledge
base that allows easy development and mashing-up of data for
the meeting room application
• Clicking hexagon reveals more booking room information and
clicking ‘I’ then reveals that days itinerary. This is live data pulled
in from the Outlook booking system
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11. Heat Map App
• Another common problem ARM employees
talked about was their office being too cold
• To help management and maintenance
monitor this, we have a live heat map that
visualises temperature consistency or
inconsistency (as it might be), across the
office space
• This will also highlight potential cold spots
and insulation weaknesses
• External car park sensors are also
positioned dynamically via geo-location
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13. AlertMe Home Energy App
• Challenge: Increase engagement of Homes
using the AlertMe energy monitoring kits
• Solution: With a sprinkle of gamification, we
ranked energy usage and in turn the money
saved by each home, revealing to
participants how their home is performing
compared to their neighbours
• Peer pressure can be a strong motivator
• Money talks and can inspire users who may
not realise potential savings
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This is how we built the process pipeline to
consume and reuse the catalogs for
different applications. Data Crawl starts the
process, we request data via Hypercat

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We then store this data in local repositories
and the important part here, is in the
mapping block, where the various sensor
data is linked or mapped together

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We now have all this semantic data stored
locally in knowledge bases, we need to
query this to extract value within our
application

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19. IOT LESSONS LEARNT
• Future applications not only need to be cross platform or real time
but to be smart and data driven. Ensuring applications are context
aware in terms of location, event, people, sensor data
• By exposing meaningful resources from standardised catalogs
such as those via Hypercat, different sources of data are easily
integrated, allowing us to build a knowledge base for the uniform
understanding of data
• Taking this data and applying web semantics, allows contextual
and data driven apps that speed up the development process
• Hypercat allows us to maintain such data sources consistent with
data vendors
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20. HYPERCATS LONG TERM VALUE;
STREAMLINING THE
DEVELOPMENT PROCESS
• We often work with multiple data publishers, so a lot of our time is
spent understanding proprietary API’s and web data formats
• The project itself has provided Red Ninja with a streamlined
development environment, with us being able to easily mash-up
multiple data streams published by ARM, Intellisense, AlertMe,
Enlight, via Hypercat and focus on the design and development of
the app’s, less on issues of compatibility
• For us Hypercat is a forward thinking and open web initiative that
has the potential to benefit many developers across the world
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21. Copyright 2014 Red Ninja Ltd
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Contact: info@redninja.co.uk