linked (open) data and energy dhelios-eie.ekt.gr/eie/bitstream/10442/15547/1/linked-open...•open...
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D R . S T E L I O S K R I N I D I S S E N I O R P O S T D O C T O R A L R E S E A R C H E R A T T H E I N F O R M A T I O N T E C H N O L O G I E S I N S T I T U T E
LINKED OPEN DATA & DATA MANAGEMENT IN
ENERGY SECTOR
21/06/2017 "Open Science: Issues and Prospects" Workshop
OUTLINE
• Introducing Linked Open Data
• LOD in EeB and BLCEM
• LOD Challenges & Questions
• EU DM Guidelines
• H2020 Use Case...
21/06/2017 2 "Open Science: Issues and Prospects" Workshop
INTRODUCING LOD
• Publishing of structured data • interlinked • more useful through
semantic queries.
• It builds upon standard
Web technologies to share information in a way that can be read automatically by computers.
• This enables data from different sources to be connected and queried.
21/06/2017 "Open Science: Issues and Prospects" Workshop 3
Linked Open Data Cloud
LOD & BLC STAGES
• Building Life Cycle Energy Management Stages
21/06/2017 "Open Science: Issues and Prospects" Workshop 4
BLC STAGES & DATA DOMAINS (I)
• Data Domains -> BLC
21/06/2017 "Open Science: Issues and Prospects" Workshop 5
Design
Construction
Commissioning
Operational
Re-Design
Demolition
Product
Device
Data
Communication
Behavior
Control
Geolocation
Weather
Energy
BLC STAGES & DATA DOMAINS (II)
21/06/2017 "Open Science: Issues and Prospects" Workshop 6
• Analysis of 100+ EeB Projects in EU Programmes
(65 produced data)
44
16
11
52
43
4
0
10
20
30
40
50
60
BLC Stages
Planning & Design
Construction
Commissioning
Operation
Retrofitting /
Refurbishment /
Reconfiguration
Demolition /
Recycling
54
47
42
28 26
46
61
44
0
10
20
30
40
50
60
70
Data Domains
Building Product
Building Devices
Building Control
Building Behavior
Building
Communication
Building Data
Energy
Geolocation and
Weather
DATA DOMAINS & DATA MODELS
21/06/2017 "Open Science: Issues and Prospects" Workshop 7
• 31 Different Data Models – Major Overlappings
0 2 4 6 8 10 12 14 16 18
Product
Devices
Control & Behaviour
Data & Communications
Geolocation and Weather
Energy
Cross Domain
COBIE Collada CIM CityGML CMO eeBIM Link EEML eMIX
ERO ESIM GAEBXML gbXML GeoJSON GeoNames IFC bSDD
Knoholem LandXML UM oBIX Data Cube REMO Schema.org SIMModel
SEM SensorML SSN SIO SUMO WGS84 ee-district
LOD CHALLENGES
• Availability of content;
• Ontology availability, development and evolution;
• Scalability;
• Multilinguality;
• Visualization and
• Stability of Semantic Web languages.
21/06/2017 8 "Open Science: Issues and Prospects" Workshop
LOD OPEN QUESTIONS
• How to improve or even automate the identification of ontology alignments (see word matching algorithms)?
• How to foster reuse of existing ontology definitions?
• How to manage linked data, in particular in a collaborative environment where data is constantly updated? How to keep consistency; deal with access rights and data versioning?
• How is it possible to effectively query information from highly heterogeneous data sources?
• Do we still need a shared vocabulary (maybe as a simplified version), which often means a compromise for a specific use case, or does LOD allow to focus on highly optimized, use case specific ontologies?
21/06/2017 9 "Open Science: Issues and Prospects" Workshop
HOW TO DEAL WITH THAT?
A Proper Data Management is required:
• F.A.I.R. DM in Horizon 2020*
• findable,
• accessible,
• interoperable and
• re-usable
• Open Research Data Pilot (ORD)
21/06/2017 10 "Open Science: Issues and Prospects" Workshop
F.A.I.R. DM IN HORIZON 2020
Includes:
• The handling of research data during & after the end of the project
• What data will be collected, processed and/or generated
• Which methodology & standards will be applied
• Whether data will be shared/made open access, and
• How data will be curated & preserved (including after the end of the project)
21/06/2017 11 "Open Science: Issues and Prospects" Workshop
F.A.I.R. DM METHODOLOGY
F.A.I.R. Principles (Template)
• Making data • findable, including provisions for metadata
• openly accessible
• Interoperable
• Increase data re-use (through clarifying licences)
Further to the FAIR principles, DMPs should also address:
• Allocation of resources
• Data security
• Ethical aspects
• Other issues that may exist
21/06/2017 12 "Open Science: Issues and Prospects" Workshop
HOW DO WE APPLY IT?
Collaborative Recommendations and Adaptive Control for Personalised Energy Saving
(2016: H2020-EE-07 2016 IA)
• Obj. 1: Stimulate behavioural change for energy saving…
• Obj. 2: Make energy usage data accessible to consumers ...
• Obj. 3: Demonstrate that individual comfort levels can be maintained while achieving energy savings.
• Obj. 4: Validate the relative effectiveness of different types of behavioural change interventions for different types of users, in different types of settings and in different climatic conditions.
• Obj. 5: Make the enCOMPASS platform, digital tools, services and acquired energy data available …
• Participating in the ORD Pilot as a Project
21/06/2017 13 "Open Science: Issues and Prospects" Workshop
DMP & LOD IN ENCOMPASS (I)
• Collection of energy-related data (mainly
consumption) in
• households,
• schools and
• public buildings
• In Pilots located in
• Germany (Haßfurt)
• Greece (Athens & Thessaloniki)
• Switzerland (Gambarogno)
21/06/2017 14 "Open Science: Issues and Prospects" Workshop
DMP & LOD IN ENCOMPASS (IΙ)
Initial Approach – Definition of:
• Purpose of data collection
• Relation to the objectives
• Types & Format of Data
• Re-use of existing data
• Origin of data
• Users of the data
Second Approach – FAIR compliance.
21/06/2017 15 "Open Science: Issues and Prospects" Workshop
MAKING DATA FINDABLE
• Annotation using public metadata standards • DDI will be used for socio-economic data where possible, and
• OGC's will be used for sensor generated data.
• Provided the data is not covered by NDAs and it does not violate ethics, it will be published using the Zenodo platform, which enables the association of a DOI to the generated data sets.
• Data sets will be catalogued by a structured approach to a naming convention defined as follows:
enCOMPASS_TYP_AAA_CC_PP_BTY_BLDID_vXX_(short_title)
This convention might be revised according to the specific needs arising during the project.
21/06/2017 16 "Open Science: Issues and Prospects" Workshop
MAKING DATA ACCESSIBLE
• Data will be published using an open platform such
as Zenodo, aiming for compliancy with the
OpenAIRE initiative.
• Anonimization & user(s) clearance must be issued
by the data owners
• Restricted data will not be published online and will
not be made available to the public.
21/06/2017 17 "Open Science: Issues and Prospects" Workshop
MAKING DATA INTEROPERABLE
The interoperability of the collected data will be
ensured by the compliance to standard ontologies
as much as possible (DDI and OGC's)
21/06/2017 18 "Open Science: Issues and Prospects" Workshop
INCREASE DATA RE-USE
• Open Access is supported by the use of
Zenodo (Clarifying licenses).
• Data will be available to the public as long as
the Zenodo repository will be available.
• Feeding the Cloud…
21/06/2017 19 "Open Science: Issues and Prospects" Workshop
ENCOMPASS CONSORTIUM
21/06/2017 "Open Science: Issues and Prospects" Workshop 20
21/06/2017 "Open Science: Issues and Prospects" Workshop
K R I N I D I S @ I T I . G R
QUESTIONS???
21
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