The document summarizes a presentation given by Dr. Diego López-de-Ipiña about enabling smarter inclusive cities through internet of things, linked data, and citizen participation. It discusses MORElab's research focusing on these areas, including several European projects involving remote labs, smart environments, social data mining, and linked data applications. The concept of smarter cities is defined as combining IoT, linked data, citizen smartphone apps, and urban analytics. Key projects described are IES Cities and WeLive, which aim to enhance cities with open data and user-generated content through mobile apps.

1. 1
Towards Smarter Inclusive Cities:
Internet of Things, Web of Data & Citizen
Participation as Enablers
10.30 - 11.30, 16 September 2015, Lounge of H21 (21st floor)
University of Halmstad, Sweden
Dr. Diego López-de-Ipiña González-de-Artaza
dipina@deusto.es
http://paginaspersonales.deusto.es/dipina
http://www.morelab.deusto.es

2. 2
Agenda
• DeustoTech-INTERNET unit
– MORElab research group
– Research lines and active projects
• Research areas
– Topics tackled
– Concept: Smarter Cities = IoT + Web of Data + User
participation + Urban Analytics
• Key European active projects
• Discussion time

3. 3
DeustoTech –
Deusto Institute of Technology
• Associated to Faculty of
Engineering, it belongs to
Fundación Deusto
• 150 people divided in 7
research units
– We represent DeustoTech-
INTERNET, a.k.a. MORElab –
envisioning future internet
research group
• http://www.morelab.deusto.es

4. 4
DeustoTech-INTERNET
• Motto: “User-centred Intelligent Services for Anything,
Anywhere at Anytime”
• Areas of research:
– Context-aware Mobile Computing for Enhanced User-
Environment Interaction
– Semantic Middleware for Embedded Wirelessly-connected
Devices
– Smart Environments of Augmented Internet-connected Objects
– Ambient Assisted Living (AAL): adaptive accessible interfaces
and social robotics.
– Future Internet: Internet of Services, Internet/Web of Things
and Web of Data

5. 5
DeustoTech-INTERNET Unit
• Principal researcher:
– Dr. Diego López-de-Ipiña,
http://paginaspersonales.deusto.es/dipina/
• It comprises
(http://www.morelab.deusto.es/labman/people/members/
unit/deustotech-internet/):
– 5 lecturers (4 PhD holders)
– 3 PostDoc
– 3 Research Assistants
– 2 Research Interns
– 7 PhD grant holders
• 20 people

6. 6
What do we actually do?
• Remote Labs & Internet-connected Objects:
– GO-LAB – federation of remote labs to enable cross-organisation remote
experiments
– WebLab-Deusto – open platform to ease the deployment of remote labs
• Enabling Smart Assistive Environments:
– SONOPA – activity-aware social networks to promote social interaction
among elderlies
– FRASEware – enhancing activity recognition by mixing knowledge- and
data-driven approaches obtaining dynamic and personalized models
– City4Age – city-wide support for elderly-friendly urban services
promoting active and healthy ageing  from close/controlled (homes) to
open environments (cities)

7. 7
What do we actually do?
• Social Data Mining & CrowdSourcing:
– MOVESMART– enhancing routing algorithms for Electric Vehicles
taking into account user generated data
• Linked Data Prosuming, Visualizations & Apps:
– IES Cities – urban app ecosystems based on council and government
open data where users prosume data
– WeLive– enabling a holistic LinkedData-based Open Services platform
to enable co-creation and open innovation of urban services for open
government
• Semantic Embedded Middleware:
– Sustainable IoT – persuasive interfaces and cooperation among smart
connected objects to foster sustainability

8. 8
Agenda
• DeustoTech-INTERNET unit
– MORElab research group
– Research lines and active projects
• Research areas
– Topics tackled
– Concept: Smarter Cities = IoT + Web of Data + User
participation + Urban Analytics
• Key European active projects
• Discussion time

9. 9
IoT Enabling Technologies
• Low-cost embedded computing and communication
platforms, e.g. Arduino or Rapsberry PI
• Wide availability of low-cost sensors and sensor networks
• Cloud-based Sensor Data Management Frameworks:
Xively, Sense.se
 Democratization of Internet-connected Physical Objects

10. 10
IoT impulse: Smart Cities, consumer
objects, mobile sensing, smart metering

11. 11
Personal data: SmartWatch & Health-
promoting Data Devices

12. 12
Nature of Data in IoT
• Heterogeneity makes IoT devices hardly interoperable
• Data collected is multi-modal, diverse, voluminous
and often supplied at high speed
• IoT data management imposes heavy challenges on
information systems

13. 13
Linked Data
• “A term used to describe a recommended best practice for
exposing, sharing, and connecting pieces of data, information,
and knowledge on the Semantic Web using URIs and RDF.“
• Allows to discover, connect, describe and reuse all sorts of data
– Fosters passing from a Web of Documents to a Web of Data
• In September 2011, it had 31 billion RDF triples linked through 504 millions of
links
• Thought to open and connect diverse vocabularies and semantic
instances, to be used by the Semantic community
• URL: http://linkeddata.org/

14. 14
Linked Data by IoT Devices
• Modelling not only the sensors but also their features of
interest: spatial and temporal attributes, resources that
provide their data, who operated on it, provenance and so on
– With SSN, SWEET, SWRC, GeoNames, PROV-O, … vocabularies

15. 15
Avoiding Data Silos through
Semantics in IoT
• Cut-down semantics is applied to enable machine-
interpretable and self-descriptive interlinked data
– Integration – heterogeneous data can be integrated or one
type of data combined with other
– Abstraction and access – semantic descriptions are
provided on well accepted ontologies such as SSN
– Search and discovery – resulting Linked Data facilitates
publishing and discovery of related data
– Reasoning and interpretation –new knowledge can be
inferred from existing assertions and rules

16. 16
Actionable Knowledge from
Sensorial Data
• Don’t care about the sensors, care about knowledge
extracted from their data correlation & interpretation!
– Data is captured, communicated, stored, accessed and shared
from the physical world to better understand the surroundings
– Sensory data related to different events can be analysed,
correlated and turned into actionable knowledge
– Application domains: e-health, retail, green energy,
manufacturing, smart cities/houses

17. 17
Towards Actionable Knowledge:
Converting to and Visualizing Open Data
• labman: data management system for research organizations which
enables to correlate researchers, publications, projects, funding, news …
– http://www.morelab.deusto.es
• euro e-lecciones, social data mining in Twitter to visualize trends for the
last European elections
– http://apps.morelab.deusto.es/eu_elections
• teseo, conversion and visualization of the distribution by genre and topics
of PhD dissertations in Spain. These data was extracted from site
https://www.educacion.gob.es/teseo/irGestionarConsulta.do
– http://apps.morelab.deusto.es/teseo
• intellidata, bank transaction analysis in different streets and
neighborhoods in Madrid and Barcelona
– http://apps.morelab.deusto.es/intellidata/

18. 18
Data Understanding through Linked
Statistics & Visualizations

19. 19
Bringing together IoT and Linked Data:
Sustainable Linked Data Coffee Maker
• Hypothesis: “the active collaboration of people and
Eco-aware everyday objects will enable a more
sustainable/energy efficient use of the shared
appliances within public spaces”
• Contribution: An augmented capsule-based coffee
machine placed in a public spaces, e.g. research
laboratory
– Continuously collects usage patterns to offer
feedback to coffee consumers about the energy
wasting and also, to intelligently adapt its
operation to reduce wasted energy
• http://socialcoffee.morelab.deusto.es/

20. 20
Social + Sustainable + Persuasive +
Cooperative + Linked Data Device
1. Social since it reports its energy consumptions via social
networks, i.e. Twitter
2. Sustainable since it intelligently foresees when it should be
switched on or off
3. Persuasive since it does not stay still, it reports misuse and
motivates seductively usage corrections
4. Cooperative since it cooperates with other devices in order
to accelerate the learning process
5. Linked Data Device, since it generates reusable energy
consumption-related linked data interlinked with data from
other domains that facilitates their exploitation

21. 21
Persuasive Interfaces to Promote Positive
Behaviour Change

22. 22
What is a Smart City?
• Smart Cities improve the efficiency and
quality of the services provided by governing
entities and business and (are supposed to)
increase citizens’ quality of life within a city
– This view can be achieved by leveraging:
• Available infrastructure such as Open Government
Data and deployed sensor networks in cities
• Citizens’ participation through apps in their
smartphones

23. 23
Society Urbanisation & Ageing
• Urban populations will grow by an estimated 2.3 billion over the
next 40 years, and as much as 70% of the world’s population will
live in cities by 2050
[World Urbanization Prospects, United Nations, 2011]
• By 2060, 30% of European population will be 65 years or older
[EUROSTAT. Demography report 2010. “Older, more numerous and diverse Europeans”, March 2011.]

24. 24
What is an Ambient
Assisted City?
• A city aware of the special needs of ALL its citizens,
particularly those with disabilities or about to lose
their autonomy:
– Elderly people
• The "Young Old" 65-74
• The "Old" 75-84
• The "Oldest-Old" 85+
– People with disabilities
• Physical
• Sensory (visual, hearing)
• Intellectual

25. 25
Why Smarter Inclusive Cities?
• Not enough with the traditional resource efficiency
approach of Smart City initiatives
• “City appeal and dynamicity” will be key to attract and
retain citizens, companies and tourists
• Only possible by user-driven and centric innovation:
– The citizen should be heard, EMPOWERED!
» Urban apps to enhance the experience and interactions of the
citizen, by taking advantage of the city infrastructure
– The information generated by cities and citizens must be linked
and processed
» How do we correlate, link and exploit such humongous data for all
stakeholders’ benefit?
• We should start talking about Big (Linked) Data

26. 26
• Smart Cities seek the participation of citizens:
– To enrich the knowledge gathered about a city
not only with government-provided or networked
sensors' provided data, but also with high quality
and trustable data
• BUT, how can we know if a given user and,
consequently, the data generated by him/her can
be trusted?
– W3C has created the PROV Data Model, for provenance
interchange
User-provided Data

27. 27
• There is a need to analyze the impact that
citizens may have on improving, extending
and enriching the data
– Quality of the provided data may vary from one
citizen to another, not to mention the possibility
of someone's interest in populating the system
with fake data
• Duplication, miss-classification, mismatching and data
enrichment issues
Problems associated to
User-provided Data

28. 28
Urban Intelligence / Analytics
• Broad Data aggregates data from heterogeneous sources:
– Open Government Data repositories
– User-supplied data through social networks or apps
– Public private sector data or
– End-user private data
• Humongous potential on correlating and analysing Broad
Data in the city context:
– Leverage digital traces left by citizens in their daily interactions with
the city to gain insights about why, how and when they do things
– We can progress from Open City Data to Open Data Knowledge
• Energy saving, improve health monitoring, optimized transport system,
filtering and recommendation of contents and services

29. 29
Smarter Cities
• Smarter Cities  cities that do not only manage their
resources more efficiently but also are aware of the
citizens’ needs.
– Human/city interactions leave digital traces that can be
compiled into comprehensive pictures of human daily facets
– Analysis and discovery of the information behind the big
amount of Broad Data captured on these smart cities
deployment
Smarter Cities= Internet of Things + Linked Data + citizen
participation through Smartphones + Urban Analytics

30. 30
Agenda
• DeustoTech-INTERNET unit
– MORElab research group
– Research lines and active projects
• Research areas
– Topics tackled
– Concept: Smarter Cities = IoT + Web of Data + User
participation + Urban Analytics
• Key European active projects
• Discussion time

31. 31
IES Cities Project
• The IES Cities project promotes user-centric
mobile micro-services that exploit open data
and generate user-supplied data
– Hypothesis: Users may help on improving, extending
and enriching the open data in which micro-services
are based
• Its platform aims to:
– Enable user supplied data to complement, enrich and
enhance existing datasets about a city
– Facilitate the generation of citizen-centric apps that
exploit urban data in different domains
European CIP project with
2013-2016
http://iescities.eu

32. 32
IES Cities Stakeholders
• Citizens:
– Users collaborate in the definition of the digital entity of the city.
– Citizen produce and consumes contents (super-prosumer concept).
• SMEs:
– IES Cities will allow the creation of services benefiting the local businesses.
• ICT-developing companies:
– The platform will enable the chance to create new apps and services based on
user needs, bringing new possibilities and added value.
• Public administration:
– The interaction with the users will enable them to improve and foster the use of
their deployed sensors in urban areas and open databases

33. 33
IES Cities Objectives
• To create a new open-platform adapting the technologies and over taking
the knowledge from previous initiatives.
• To validate and test a set of predefined urban apps across the cities.
• To validate, analyse and retrieve technical feedback from the different
pilots in order to detect and solve the major incidences of the technical
solutions used in the cities.
• To adequately achieve engagement of users in the pilots and measure
their acceptability during the validations.
• To maximize the impact of the project through adequate dissemination
activities and publication of solutions upon a Dual-license model.
33

34. 34
IES Cities Player

35. 35
Bristol’s Democratree App

36. 36
Zaragoza’s Your Opinion Matters

37. 37
What´s WeLive (I)
A novel We-Government ecosystem of tools (Live) that is
easily deployable in different PA and which promotes co-
innovation and co-creation of personalised public services
through public-private partnerships and the
empowerment of all stakeholders to actively take part in
the value-chain of a municipality or a territory
Open Data Open Services Open Innovation
H2020 INSO1 project 2015-
2017, Bilbao council involved
http://welive.eu

38. 38
What´s WeLive (II)
Stakeholder Collaboration + Public-private Partnership 
IDEAS >> APPLICATIONS >> MARKETPLACE
WeLive offers tools to transform the needs into ideas
Tools to select the best Ideas and create the B. Blocks
A way to compose the
Building Blocks into mass
market Applications which
can be exploited through
the marketplace

39. 39
WeLive proposes…
Transform the current e-government approach into…
WeLive Open and Collaborative Government Solution = We-
government + t-government + I-government + m-government
We-
All stakeholders
are treated as
peers and
prosumers
t-
Providing
Technology
tools to create
public value
l-
To do more
with less by
involving other
players and the
PA as
orchestrator
m-
Utilisation of
mobile tech. for
public services
delivery

40. 40
Key Area WeLive Innovation and added value
Open Data
WeLive will provide an Open Data Toolset which will enable to handle the whole life cycle
of what is starting to be termed as Broad Data, i.e. a combination of Open Data, Social Data,
Big Data and private data.
• Open Data Toolset will provide tools to capture, transform, adapt, link, store, publish
and search for data which may be consumed by innovative public service apps.
Open
Services
Open Services Framework centred on two key abstractions, namely building blocks and
app templates.
• Factorize the capabilities offered by a city or its stakeholders as a set of building blocks
which can be easily combined with each other to give place to composite services.
• Exemplary service templates composed of several building blocks so that stakeholders
can personalize them and turn them into new public service app instances.
Open
Innovation
Tackle the whole innovation process phases: a) conceptualization, b) voting and
selection, c) funding, d) development and e) promotion and f) exploitation.
• WeLive will focus on how to pass from innovation to adoption, by democratizing the
creation process and fostering public-private partnership that will jointly exploit the
outcomes of the innovation process.
User-
centric
services
Personalization of public service apps based on user profile and context.
• A key element, named Citizen Data Vault, will represent a single sign-on point for a user
• Decision Engine will enable stakeholders to retrieve statistics about the usage and app
consumption and demand patterns of the different stakeholder groups.
• Visual Composer, a tool to enable every stakeholder, even citizens, to visually compose
their own services will be offered.

41. 41
WeLive Marketplace
(Java EE)
WeLive Player
Citizen Data Vault
(PubSubHubBub)
Decision Engine
(JBoss Drools 6)
Open Innovation Area
(Java EE)
Propose
Building blocks
Get profile
Update data
Building blocks
Data Mashup
Publish new
Building blocks
Idea generation
from citizen
Get Public Service
App
Use existing Building
Blocks
Idea
Generation
Idea evaluation
and selection
Idea
refinement
Idea
implementation NEED
Develop building
blocks/open service
from scratch
Visual composer
(HTML5/CSS3)
WeLive Framework

42. 42
City4Age: Elderly-friendly City
services for active and healthy ageing
• Aims to act as a bridge between the European Innovation Partnerships (EIP)
on Smart Cities and Communities & Active and Healthy Ageing (EIP AHA)
• Demonstrate that Cities play a pivotal role in the unobtrusive collection of
“more data”and with “increased frequency” for comprehending individual
behaviours and improving the early detection of risks
H2020 project 2016-
2018, PHC 21

43. 43
I have a dream … the citizen-
empowered inclusive City

44. 44
Agenda
• DeustoTech-INTERNET unit
– MORElab research group
– Research lines and active projects
• Research areas
– Topics tackled
– Concept: Smarter Cities = IoT + Web of Data + User
participation + Urban Analytics
• Key European active projects
• Discussion time

45. 45
Towards Smarter Inclusive Cities:
Internet of Things, Web of Data & Citizen
Participation as Enablers
10.30 - 11.30, 16 September 2015, Lounge of H21 (21st floor)
University of Halmstad, Sweden
Dr. Diego López-de-Ipiña González-de-Artaza
dipina@deusto.es
http://paginaspersonales.deusto.es/dipina
http://www.morelab.deusto.es