Supporting the use of data: From data repositories to service discovery

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The document discusses supporting the use of data through repositories and service discovery. It provides the example of the MK Data Hub, which allows users to find, share, develop, and get data as well as create applications. Ongoing work involves developing ontological representations of data characteristics like exploitability and applicability, as well as policies and rights. Service discovery requires adequate representation of both available data services and data, including licensing and policy aspects.

Technology

Supporting the use of data:
From data repositories to service discovery
Mathieu d’Aquin
Knowledge Media Institute, The Open University
mathieu.daquin@open.ac.uk, @mdaquin

Data repositories are becoming more and
more important
In education
In general
For Smart Cities

The Key Question is:
How do we support the exploitation of
those data

ExamplE: The MK Data Hub
MK Data Hub
Analytics
Integration
Curation
Storage
Import
Sensor
Data
Local
Stats
Gov.
Open
Data
...
Mobile
Apps
Dashboards
Business
Intelligence
Social Web
Apps
...

Example: The MK Data Hub
MK Data Hub
Analytics
Integration
Curation
Storage
Import
Find
Share Develop
GetCreate

Get
Data
Create Applications
with Data
Find
Data

From A Data Platform to an Experiment
Platform

From A Data Platform to an Experiment
Platform
Data
Services
Available
Data
Ontological
representation
of service
capability
Ontological
representation
of data
characteristics
Exploitability
Applicability

Ongoing work on Exploitability
Ontological
representation
of data
characteristics
Exploitability
Characteristics of the data that needs to be taken into
account for exploitability:
- Validity, quality, coverage
- Nature (time series, statistics, geo, etc)
- Scale
- Connection, complementarity to others,
uniqueness
- Policies and rights

Data Rights and Policies in Data Flows
Daga et al (2015),
Propagation of policies in
rich data flows
Given a data flow (the application of data services), how do the licence
statements propagate across the data flows?
Dataflow
representation
Input Data
licence
representation
Policy
propagation
rules
Output Data
licence
representation

Representation of
DatAflows
Many options for the
representation of workflows
(including ProvO) to represent
what processes are applied to
data.
DataNode ontology to represent
what in which way these
processes actually affect data:
Representation of relationships
between the data artefact in
input and output of the
processes.

Conclusion
Service discovery requires not only an adequate representation
of the data services (which is not solved) but also the adequate
representation of the available data.
Including right, policy and licence aspects...

Thank You!
mathieu@daquin.net
@mdaquin
Alessandro
Adamou
Enrico
Daga
Carlo
Allocca
Shuangyan
Liu
Keerthi
Thomas
Ilaria
Tiddi
Emanuele
Bastianelli

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