How to build Smart Cities? no AI without IA

1. How to build
Smart Cities
No AI without IA

2. A few housekeeping items
• This webinar is in broadcast mode all
participants are muted
• Please put your questions in the
GoToWebinar panel and we’ll answer
as many as we can in the Q & A
session
• This broadcast is being recorded –
replay information will be sent to all
registrants following the broadcast

3. Who is speaking today?
Martin Kaltenböck
CFO
Semantic Web
Company
Fredric Landqvist
Principle Information
Strategist & Researcher
Findwise
Sebastian Gabler
Sales Engineer
Semantic Web
Company

4. Agenda
• Introduction to theme
• Semantic Information Platform
• Case & Tools
• Take away
• Q&A

5. The Cognitive
Revolution

7. Smart City

8. Content

9. CONFIDENTIAL
Organising

10. Challenges

11. Landfill

12. Lingua Franca

13. Standing on the
shoulders of Giants
No AI without IA
Newton ShannonBayes TuringAl Kindi Ada Wolfram

14. The bright side of the road

15. CONFIDENTIAL
We are the People!
Trust
Belonging

16. Tools for a smart
platform

17. Martin Kaltenböck
CFO & Managing Partner
Semantic Web Company /
PoolParty Semantic Suite
PoolParty Semantic
Suite
Webinar 19.06. 2018
No AI without IA

18. Introduction
The Evolution of
the Internet….
...as well as of
Data & Information
Management
18

19. Core Principle
The Semantic
Layer
completes the
Four-layered
Data & Content
Architecture
19

20. Core
Principle
From Strings
to Things...
20

21. PoolParty
Semantic Suite
Most complete
Semantic
Middleware on
the Global
Market
21
Bain Capital is a venture capital
company based in Boston, MA.
Since inception it has invested in
hundreds of companies including
AMC Entertainment, Brookstone,
and Burger King. The company
was co-founded by Mitt Romney.
Taxonomy &
Ontology Server
Entity Extractor &
Semantic Classifier
Data Integration &
Data Linking
Unstructure
d
Data
Semi-
structured
Data
Structured
Data
Unified
Views
PoolParty
GraphSearc
h
Identify new
candidate concepts
to be included in a
controlled vocabulary
Controlled vocabularies as a
basis for highly precise
knowledge extraction and text
classification
Entity Extractor
informs
all incoming data
streams about its
semantics and links
them
Schema mapping
based on
ontologies
RDF
Graph Database
Factshee
t

22. Knowledge
Graphs as a
Data Model for
Machine
Learning
Download:
Semantic AI
White Paper
These transformations can result in loss of information and introduce bias. To solve this
problem, we require machine learning methods to consume knowledge in a data model
more suited to represent this heterogeneous knowledge. We argue that knowledge
graphs are that data model.
Three examples for the benefits of using knowledge graphs:
▸ they allow for true end-to-end-learning,
▸ they simplify the integration of heterogeneous data sources and data harmonization,
▸ they provide a natural way to seamlessly integrate different forms of background
knowledge.
Wilcke X, Bloem P, De Boer V. The Knowledge Graph as the Default Data Model for Machine Learning. Data Science. 2017 Oct 17;1-19.
Available from, DOI: 10.3233/DS-170007
22 Traditionally, when faced
with heterogeneous
knowledge in a machine
learning context, data
scientists preprocess the
data and engineer feature
vectors so they can be used
as input for learning
algorithms (e.g., for
classification).

23. Our Solution
Approach
Why
PoolParty?
▸ Future-proof investment &
data portability
Fully standards-compliant
▸ Middleware approach
Easy integration based on
comprehensive API
▸ Shorter learning curve
Outstanding user-friendliness &
E-learning
▸ Technological lead
Machine Learning, NLP and Semantics
▸ Modular architecture & price model
Adapt to growing demands
23 The Most Complete Semantic
Middleware on the Global Market
PoolParty enables
enterprise-
ready solutions based on
cutting-edge technologies.

24. PoolParty
Semantic Suite
Re-use existing
models &
standards and
link them...
24
https://www.poolparty.biz/vocabulary-hub/

25. How to start?
The Semantic
Web Starter
Kit
25
https://www.poolparty.biz/semantic-web-starter-
kit/

26. PoolParty
Semantic
Suite
TRY OUT
NOW!
26 Get your PoolParty test
account:
www.poolparty.biz
Learn more:
https://www.poolparty.biz/academy/

27. Martin Kaltenböck
CFO, Semantic Web Company
▸ m.kaltenboeck@semantic-web.at
▸ https://www.linkedin.com/in/martinkaltenboeck
▸ https://twitter.com/semwebcompany
▸ https://blog.semantic-web.at/
10-13 September 2018
Connect...
27
© Semantic Web Company - http://www.semantic-web.at/ and http://www.poolparty.biz/

28. Fact sheet:
Semantic
Web
Company
28
Semantic
AI
Semantic Web Company (SWC)
▸ Founded in 2004, based in
Vienna
▸ Privately held
▸ 45+ FTE
▸ Consulting Experts in NLP,
Semantics and Machine
learning
▸ Developer & Vendor of
PoolParty Semantic Suite
▸ 2.5 Mio Euro funding for R&D
▸ ~30% revenue growth/year
▸ SWC named to KMWorld’s
‘100 Companies That Matter
in Knowledge Management’
in 2016, 2017 and 2018
▸ www.semantic-web.com

29. Sebastian Gabler
Consultant
Semantic Web Company /
PoolParty Semantic Suite
No AI without IA
Use case - trusted health
information in Australia

30. The
HealthDirect
use case
▸ HealthDirect is a platform of the public
health services for Australia
▸ Digital platform established on PoolParty
2013
▸ Information Architecture for trusted health
information
▸ W3C standards based information format
▸ Integration of public vocabularies, such as
Drugbank, MeSH, IDC-10 and GIS
information
▸ Services include Australian Health
Thesaurus, Symptom Checker, and
Semantic Search
30

31. Mission Statement:
Ensuring all Australians have access to the right
advice on the appropriate care for their health issue
when they need it and where they need it.

32. Technical Platform

33. Used components:
PoolParty Thesaurus Server (PPT)
● Vocabulary server to manage taxonomies and thesauri
● Use, manage and publish linked data and large
enterprise knowledge graphs
● Based on standardized linked data technologies
PoolParty Extractor (PPX)
● Scalable, high availability
● Powerful entity extractor and text mining service
PoolParty API
Enterprise Server

34. Development of the Australian Health
Thesaurus
• Department of Health Thesaurus
• Local thesauri/taxonomies
• Symptom Check
• International
thesauri/taxonomies
• MeSH
• DSM-V
• ICD10
• Common search terms (Google
Analytics)
• Search terms with no results
(Hitwise)
• Across health information
industry
• Ongoing maintenance
App. 10000 changes since Feb
2014

35. Conversion of taxonomies

36. Using the knowledge graph for semantic
search
… use the
relationships
… use the
labels

37. Content publication process

38. Get in touch
Sebastian Gabler
Consultant, Semantic Web Company
▸ sebastian.gabler@semantic-web.com
▸ https://at.linkedin.com/in/SebastianGabler
▸ https://poolparty.biz
38
© Semantic Web Company - http://www.semantic-web.at/ and http://www.poolparty.biz/

39. Smart City - journey
The city as a platform
Models, challenges, effects and solutions

40. Digitalisation @ Göteborg
40HÅLLBAR STAD – ÖPPEN FÖR VÄRLDEN

41. 41HÅLLBAR STAD – ÖPPEN FÖR VÄRLDEN
Sustainable Data Management

42. City Information Model
42HÅLLBAR STAD – ÖPPEN FÖR VÄRLDEN
•Urban Environment
•Movable Objects
•Human Actor Networks
•Virtual Urban Systems

43. Models
43HÅLLBAR STAD – ÖPPEN FÖR VÄRLDEN

44. Urban Environment
44HÅLLBAR STAD – ÖPPEN FÖR VÄRLDEN
•Physical spaces, and things
•Geo Data
•BIM and beyond

45. Movable Objects
45HÅLLBAR STAD – ÖPPEN FÖR VÄRLDEN
•Mobile Sensor Platforms
•City Dynamic Data flows
•FiWare and more… for
interoperability

46. Human Actor Networks
46HÅLLBAR STAD – ÖPPEN FÖR VÄRLDEN
•The City Public services as a
platform
•Interplay with citizens, business,
visitors and more

47. Virtual Urban Systems
47HÅLLBAR STAD – ÖPPEN FÖR VÄRLDEN
• Model data
• Co-creation

48. Participation and city models
48HÅLLBAR STAD – ÖPPEN FÖR VÄRLDEN

49. 49
Standards, Domain, Exchange,
interoperability
Standard
Domain
Exchange

50. Gothenburg #smart data pilot
● Terms, terminologies, and reference data (SKOS ,W3C, Simple
Knowledge Organising System)
○ Code System, Taxonomies, Glossaries, Thesauri, Ontologies
○ Integrated Public Service Vocab (ISPV), EUROVOC and more
● Workbench, manage object (with properties) and domain-models (
RDF-scheme, alt Web Ontologies, OWL)
○ ISA2 Core Vocabularies, W3C Organisation Ontology, Location,
Inspire Spatial Data , FiWare and more models
● Quality data through use of open standards, and models reaching
interoperability, and effective information management.

51. Interoperability for Public Administration
(ISA2
)
51HÅLLBAR STAD – ÖPPEN FÖR VÄRLDEN

52. Information flow
52HÅLLBAR STAD – ÖPPEN FÖR VÄRLDEN

53. Terminologies (SKOS)
Reference data
Glossaries, code systems
Open standards, taxonomies.
thesauri

54. Models and entities
● Master data entities from standards as
ISA2
core vocabularies
● Person (individuals)
● Organisation (entities with vat.nb)
○ Enhet (OrgUnit)
● Place (address alt geo-code)
● Location, spatial area
● Service, (internal/external) [CPSV-AP]

55. Person
● A model to cover all type of person types.
● A individual have several facets (member
of staff, citizen, pupil, politician etc)
● A member of staff might have multi
employments, and roles.

56. Organisation
● Organisation is the super class that
define any organisation, that the
municipality interact with.
● Organisation is classificied with SNI-code
(NACE)
● All organisations are linked to
organisational unites. There are also
inter-linking between organisations in
networks.

57. Enhet (orgUnit)
● A municipality have a multitude of
organising principles, as governance,
political steering, city parts, departments,
sectors, areas, and groups
● The organisation have many hierarchical
levels, as well as links into a network
(graph)
● Org Units provision many services
● A Unit can also be acting out of many
places.

58. Place and area
● Place is either a address, or a
geographical position where a Unit
provision services.
● All places are part spatial areas, or
geographical locations, as postal code,
city part, area etc..
● Locations is managed with the cities
GIS-systems, with unique identifiers and
spatial services.

59. Service
● Service either serve the public or internal
workflows
● The data model used is Core Public
Service Vocabulary – Application Protocol
CPSV-AP
● A service might either be physical or
virtual (e-service).
● A service isPartof Offer
● The provision of service is in-built in
supporting information systems.

60. Utility of #smart data
● Information management with smart data platform:
○ Asynchronous (enterprise service bus) via informations
contrakt v using the integration engine
○ Syncronous via RestfulAPI or SPARQL
○ Visualisation in a graph
● Independent if the actor is another system or an
individual, the service opens up to many ways to
interact, and re-use the information in
interoperatible manner.

61. Graph visualisation

63. 63
• Founded in 2005
• 120+ employees
• Vendor independent consultants
• Sweden, Denmark, Norway, Finland,
Poland & UK

64. 64
INFORMATION

65. fredric.landqvist@findwise.com
fredric.landqvist@gu.se
https://www.linkedin.com/in/fredriclandqvist/
www.emergentmeccano.com

66. Take Away
Guardrails for sustainable #smart cities development

67. Q & A
Thank you for attending
We’ll take questions now

68. AILife 3.0 and beyond…(governing principles)
https://blog.google/topics/ai/ai-principles/
Introducing Semantic AI
http://bit.ly/Semantic_AI
Semantic Web Starter Kit
https://www.poolparty.biz/semantic-web-starter-kit/
PoolParty Academy (online trainings)
https://www.poolparty.biz/academy/
SEMANTiCS2018 conference (10-13.9.2018, Vienna)
https://2018.semantics.cc/