1. City Platform as a Service – Integrated and Open
WP 6: Holistic Data Management and
Governance
Adrian Gschwend, BFH
Katsunori Shindo, Ubiquitous Networking Laboratory
Year 1 Review Meeting, Tokyo
October 5, 2017

2. Overview
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WP 7: Impact Generation
WP 3:
Platform Architecture
WP 4: Cloud & Edge Programming
WP 5: Citizen Empowerment for Data Privacy
WP 6: Holistic Data Management & Governance
WP 8: Project Management
WP 2: Use Cases & Trials
WP 1: Ethics Requirements

3. Involved Participants
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4. Main Results
• Objective 1: Develop a model to assess data quality, in
particular regarding IoT data.
 T6.1, initial work in D6.1: Holistic Data Management: State of the Art
(M6)
• Objective 2: Provide the mechanisms for linking
heterogeneous data sets from variety of sources.
 T6.2, D6.1: Holistic Data Management: State of the Art (M6)
 Analyzes current Best Practices in Data Management
 Introduces schema, ontologies and vocabularies
 Domains: IoT, O(G)D, Social Media, Personal data
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5. Main Results
• Objective 3: Enable the provisioning of the data as linked data
through SPARQL endpoints.
 Initial concept for Linked Data access to FIWARE & u2 in D6.2
 U2: SPARQL and REST-based integration
 FIWARE: Initial SPARQL endpoint exposing Deployment Knowledge Base
(T6.5)
 Extended SSN Ontology with deployment specific concepts
 Described Color Run Utrecht Deployment with Deployment Tool
• Objective 4: Develop the necessary mechanisms to support the
privacy requirements.
 Started in T6.3 & 6.4, M9. Some basic work in D6.1 (M6)
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6. Results in Year 1
Summary and Discussion
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7. D6.1: Holistic Data Management
• Analyzing existing and upcoming Best Practices
• Data on the Web Best Practices introduction (W3C)
• Analyzing many existing ontologies and their pickup
• Analyzing IoT related ontologies
• W3C Community Group work (Spatial, SSN etc)
• Identifying gaps
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8. Existing and Upcoming Best Practices
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FIWARE: using NGSI data model u2: ucR model
In both models, one can map and expose a specific data set as RDF
Many of the presented standards in the area of Linked
and Open Data are summarized in the Data on the Web
Best Practices W3C Recommendation
RDF Linked Data (in RDF)

9. FIWARE, u2, RDF & Linked Data
• FIWARE
• NGSI Data model
• u2
• ucode ucR model
• RDF (Resource Description Framework)
• Graph based data model, URIs as identifiers
• Various serializations, among others JSON-LD
• SPARQL query language, supports federation (SERVICE keyword)
• Linked Data: HTTP based access to URIs
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10. Conclusion of D6.1
• For data sets with a relevance for CPaaS.io use cases
it is important to expose as much data as possible as Linked
Data
• For that, modules will be implemented that allow access to
FIWARE or u2 data as RDF
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11. D6.2: Linked Data Access Endpoint
• Initial architecture for Linked Data (RDF) integration
• FIWARE: Semantic Integration layer
• u2: SPARQL and REST-based integration
• First FIWARE components developed
• First SPARQL queries executed against metadata
• Discussions for mapping components for data itself
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12. FIWARE: Semantic Integration Layer
NGSI API Orion
Context
Broker
IoT
IoT
IoT
IoT
IoT
Knowledge
Server
Analytics
W3C RDF
W3C SPARQL
Semantic
Layer
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Semantic
Data
Repository

13. Semantic Integration Layer Implementation Architecture
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IoTBroker
NGSI to RDF Mapper
Triple Store
HTTP to HTTPS
Basic Auth Proxy
NGSI Application
CPaaS.io
2 NGSI 10
Update
1 NGSI 10 Subscription
Murcia Instance AGT Instance
3 NGSI 10 Notify
4 NGSI 10 Notify
5 SPARQL UPDATE
6a NGSI Data acces
RDF Application
6b SPARQL Data accsss

14. u2 Endpoint
u2: SPARQL and REST-based integration
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Applications Sensors / Actuators
REST-based
query
JSON-LD
Formatted
data
RDF
Database
Relation
Database
KVS
Database
GIS
Database
SPARQL SQL SQLAPI for KVS DB
REST-based
query
JSON-LD
Formatted
data
SPARQL-based
interface
CPaaS.io
Front-End
Query Converter
Federation of
various databases

15. u2 Endpoint Implementation Architecture
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Applications Sensors / Actuators
REST-based
query
JSON-LD
Formatted
data
RDF
Database
Relation
Database
KVS
Database
GIS
Database
SPARQL SQL SQLAPI for KVS DB
REST-based
query
JSON-LD
Formatted
data
SPARQL-based
interface
u2 Endpoint
CPaaS.io
Front-End
Query Converter
(2) Convert query to
target database
(3) Access to
target databases
(1) Accept a query
(4) Convert response to
JSON-LD format
(5) Return formatted response

16. T6.5 Scenarios and Requirement Analysis
• Smart City Deployments
• Spatial Coverage
• Event Deployments
• Limited Duration
• Mobile Deployments
• Smart Home Deployments
• Building Centric Deployment
• Device Associations
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17. T6.5 Deployment Tool
Reactive Web Application
• Inventory Management
• Type Management
• People and Groups
• Event and Venue Creation
• Mobile Deployments
• Map-based Static Deployments
Technical Implementation
• Fully RDF-based using a powerful device description and deployment extension
ontology of SSN
• Adaptive UI: Dialogs adapt to ontology and data
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18. T6.5 Agile Development
Starting Point: Basic version of deployment tool V1.0 and
Deployment Ontology V1.0
Ontology V2.0.1: Better support for all deployment types
Deployment Tool V1.6.0: more than 10 releases
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19. Plan for Year 2
Outlook
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20. WP6 Outlook
• Semantic Data Integration (T6.2)
• Federated Querying over both platform implementations
• Accessing data (not just metadata) as RDF
• Data Quality models (T6.1)
• User empowered & context-based data access (T6.3 & 6.4)
• Personal data management: a function for citizens to set the policy of their own personal data
• Context-based access control: a function to change the policy of access control based on contexts
• Next Deliverables
• D6.3 : Holistic Data Management: Initial Concepts and Models [18]
• Semantic mapping of NGSI data model to RDF and u2 data model
• Description of Deployment Ontology
• ETSI Industry Specification Group (ISGs) related work
• Cross-sector Context Information Management (ISG CIM) for smart cities applications and beyond
• City Digital Profile (ISG CDP)
• Details in WP7
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21. Gracias Mulțumesc 謝謝 Paldies Eskerrik asko Dziękuję Mahalo ‫תודה‬ Go raibh maith agat спасибо Grazzi आभारी
Xin cảm ơn 감사합니다 நன்றி Köszönöm ‫مرسي‬ Ndiyabulela Grazia Tak Благодаря Aitäh Terima kasih Děkuji
Asante Diolch ‫شكرا‬ Takk Ďakujem Gràcies Kiitos Obrigado Teşekkür ederim Ngiyabonga Þakka þér Grazas
Tapadh leibh ขอบคุณ Faleminderit Ačiū Danke Merci Grazie Hvala Ευχαριστώ Dankon Tack Dank je Grazcha
…
Thank You
ありがとう
This document has been produced in the context of the CPaaS.io project which is jointly funded by the European
Commission (grant agreement n° 723076) and NICT from Japan (management number 18302). All information provided
in this document is provided "as is" and no guarantee or warranty is given that the information is fit for any particular
purpose. The user thereof uses the information at its sole risk and liability. For the avoidance of all doubts, the European
Commission and NICT have no liability in respect of this document, which is merely representing the view of the project
consortium. This document is subject to change without notice.
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