1. SMART GROUND platform overview
SMART data collection and inteGRation platform to enhance availability and accessibility of data and infOrmation in the EU territory on SecoNDary Raw Materials
SMART GROUND platform overview
Jorge López
Atos Research and Innovation
ATOS SPAIN

2. 1. SMART GROUND Platform
SMART GROUND platform provides i) a repository that stores full datasets of waste sites and available materials published and curated by the user community with a crowd-sourcing approach, and ii) a web portal that allows publication, query, visualization, download and analysis of the information.
Main objectives:
Enable a collaborative space for site operators, public administrations, landfill mining companies, raw material providers and researchers.
Become a waste material marketplace giving private businesses possibility to contact potential raw material providers or clients for landfill mining projects.
Promote reuse of raw materials and circular economy by facilitating access to available information in a structured way.

3. 2. Value proposition, distinctive features
Distinctive features compared to existing waste data sources:
IMPORTANT: Semantically enriched information based on user annotations. There is a second web client that allows platform users to manage semantic annotations (personal and common knowledge) related with waste and minerals.
Crowd-sourcing approach: open registration of user accounts to publish data
All information is public, no need for user registration
Wide characterisation of waste sites, including samples, processes and technologies used in treatment plants, etc.
Search engine with more than 30 filters. Possibility to select combined filters or just type keywords of interest
Map viewer for spatial search and analysis
Estimation of remains in waste sites based on available sample measures
Download of facility information in csv format
Possibility of integration with external databases through (OGC) standard services
Data model was built on previous initiatives M4EU & INSPIRE Minerals resources (compatibility)

4. 3. Semantic Tagging Module
This separate module complements the main platform with a set of functionalities that implement the belief-based knowledge expansion and interrogation.
It allows:
Extending users’ knowledge according to their domain of expertise, in particular:
by means of RDF statements connecting existing concepts through suggested properties;
by defining new concepts and new properties.
Explore the common knowledge, which is shared among all users.
Inherit (part of) the knowledge inserted by other users.
Interrogate the SMART GROUND databank by means of semantically enriched queries.
Registered users can access the semantic platform through the SMART GROUND main platform, during their exploration phase, or directly through the url:

5. 4. SMART GROUND Data Model
Key result: waste sites and materials data model:
Common attributes:
Location
Operator
Status
Area, depth, volume, weight
Operation period
Availability analysis/studies
Mining sites:
Ore mineralogy
Waste type
Commodities
Lithology
Environmental impact
Mineral deposit
Mine status
Period of last exploitation
Last operator of the mine
Existence of rehabilitation
Study of deposit
Mining Activity
Dumps
Sample measurements
Landfill sites:
Landfill category
Landfill type
Waste materials (EWC codes)
Biogas captured
Energy recovery
Presence of solar energy plant
Sample measurements
Treatment plants:
Feeding material (EWC)
Waste produced (EWC)
Products and by-products
Transport used
Type of storage used
SLCA information
Technology lines and steps available

6. 5. SMART GROUND Architecture
Two user interfaces:
main platform
semantic platform
Single user and identity system
Based on open source standards and solutions
Docker containers
The different components of the platform (database, geoserver, API, proxy, front-end application) run as docker containers on top of the docker engine. Docker allows developers to build an environment which can be run in any machine (with docker engine installed), thus avoiding potential problems caused by different developer and production environments. Docker also supports scalability by making it easy to spawn new containers of our services to handle additional load.

7. 6. Status URLs: Main platform: http://smartground.atosresearch.eu
Semantic platform:
Most of the planned functionalities are already implemented.
Platform is under development until end of the project (end of March).
It is now open for public use in test mode:
Be aware the platform may be stopped sometimes to apply changes.
During the test phase (until end of the project) the database might include testing data (not real) and the data on facilities created by users can be deleted. Only data entered after 1st of April will be considered real and operational data.

8. 7. Next steps Next steps and challenges:
Engage waste site operators to provide data, create a “virtuous circle” where more data collected attracts more users (material recyclers, buyers, service providers) to the platform.
Not rely only on data from platform users, integrate also data from open databases (visualisation and search).
Integrate real time information, e.g. market prices, supply time, other.
Improve usability of web application: e.g. facilitate the process to upload datasets to the platform and more
Develop additional features for registered users
Develop new services on top of the available information
Seek collaboration with existing waste initiatives (JRC Raw Materials Information System, ProSUM...)
Sustainability: ensure viable business model