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Putting Data to Work: Building Public-Private Partnerships to Increase Resilience & Enhance the Socioeconomic Value of Data. Let’s keep making data matter!

Wednesday, January 8 • 2:00pm - 3:30pm
Advancing Data Integration approaches of the structured data web

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Political, economic, social or scientific decision making is often based on integrated data from multiple sources across potentially many disciplines. To be useful, data need to be easy to discover and integrate.
This session will feature presentations highlighting recent breakthroughs and lessons learned from experimentation and implementation of open knowledge graph, linked data concepts and Discrete Global Grid Systems. Practicality and adoptability will be the emphasis - focusing on incremental opportunities that enable transformational capabilities using existing technologies. Best practices from the W3C Spatial Data on the Web Working Group, OGC Environmental Linked Features Interoperability Experiment, ESIP Science on Schema.org; implementation examples from Geoscience Australia, Ocean Leadership Consortium, USGS and other organisations will featured across the entire session.
This session will highlight how existing technologies and best practices can be combined to address important and common use cases that have been difficult if not impossible until recent developments. A follow up session will be used to seed future collaborative development through co-development, github issue creation, and open documentation generation.

How to Prepare for this Session: Review: https://opengeospatial.github.io/ELFIE/, https://github.com/ESIPFed/science-on-schema.org, https://www.w3.org/TR/sdw-bp/, and http://locationindex.org/.

Notes, links, and attendee contact info here.

Session Agenda:

  1. 1.  2.00- 2.10,  Sylvain Grellet, Abdelfettah Feliachi, BRGM, France

'Linked data' the glue within interoperable information systems
“Our Environmental Information Systems are exposing environmental features, their monitoring systems and the observation they generate in an interoperable way (technical and semantic) for years. In Europe, there is even a legal obligation to such practices via the INSPIRE directive. However, the practice inducing data providers to set up services in a "Discovery > View > Download data" pattern hides data behind the services. This hinders data discovery and reuse. Linked Data on the Web Best Practices put this stack upside down and data is now back in the first line. This completely revamp the design and capacities of our Information Systems. We'll highlight the new data frontiers opened by such practices taking examples on the French National Groundwater Information Network”

  1. 2.  2.10 - 2.20,  Adam Leadbetter, Rob Thomas, Marine Institute, Ireland

Using RDF Data Cubes for data visualization: an Irish pilot study for publishing environmental data to the semantic web
The Irish Wave and Weather Buoy Networks return metocean data at 5-60 minute intervals from 9 locations in the seas around Ireland. Outside of the Earth Sciences an example use case for these data is in supporting Blue Economy development and growth (e.g. renewable energy device development). The Marine Institute, as the operator of the buoy platforms, in partnership with the EU H2020 funded Open Government Intelligence project has published daily summary data from these buoys using the RDF DataCube model[1]. These daily statistics are available as Linked Data via a SPARQL endpoint making these data semantically interoperable and machine readable. This API underpins a pilot dashboard for data exploration and visualization. The dashboard presents the user with the ability to explore the data and derive plots for the historic summary data, while interactively subsetting from the full resolution data behind the statistics. Publishing environmental data with these technologies makes accessing environmental data available to developers outside those with Earth Science involvement and effectively lowers the entry bar for usage to those familiar with Linked Data technologiesnked Data technologies

  1. 3. 2.20 - 2.30,  Boyan Brodaric, Eric Boisvert, Geological Survey of Canada, Canada; David Blodgett, USGS, USA

Toward a Linked Water Data Infrastructure for North America
We will describe progress on a pilot project using Linked Data approaches to connect a wide variety of water-related information within Canada and the US, as well as across the shared border

  1. 4.  2.30 - 2.40,  Dalia Varanka, E. Lynn Usery, USGS, USA

The Map as Knowledge Base; Integrating Linked Open Topographic Data from The National Map of the U.S. Geological Survey
This presentation describes the objectives, models, and approaches for a prototype system for cross-thematic topographic data integration based on semantic technology. The system framework offers a new perspectives on conceptual, logical, and physical system integration in contrast to widely used geographic information systems (GIS).

  1. 5.  2.40 – 2.50,  Alistair Ritchie, Landcare, New Zealand

ELFIE at Landcare Research, New Zealand
Landcare Research, a New Zealand Government research institute, creates, manages and publishes a large set of observational and modelling data describing New Zealand’s land, soil, terrestrial biodiversity and invasive species. We are planning to use the findings of the ELFIE initiatives to guide the preparation of a default view of the data to help discovery (by Google), use (by web developers) and integration (into the large environmental data commons managed by other agencies). This integration will not only link data about the environment together, but will also expose more advanced data services. Initial work is focused on soil observation data, and the related scientific vocabularies, but we anticipate near universal application across our data holdings

  1. 6.  2.50 - 3.00,  Irina Bastrakova, Geoscience Australia, Australia

Location Index Project (Loc-I) – integration of data on people, business & the environment
Location Index (Loc-I) is a framework that provides a consistent way to seamlessly integrate data on people, business, and the environment.
Location Index aims to extend the characteristics of the foundation spatial data of taking geospatial data (multiple geographies) which is essential to support public safety and wellbeing, or critical for a national or government decision making that contributes significantly to economic, social and environmental sustainability and linking it with observational data. Through providing the infrastructure to support cross-domain foundation data linkages and analysis will open up substantial opportunity for providing a richer set of information to develop, analyse and evaluate policy, programs and service delivery by government.

  1. 7.  3.00 - 3.10,  Jonathan Yu, CSIRO, Australia

Building Loc-I: Spinning up a spatial knowledge graph should be easy... right?
The Loc-I project aims to improve data integration and decision making capability across multiple geographies published by Australian government agencies. In Loc-I, each geography and its features are identified precisely, unambiguously, with rich descriptions and semantics, via Linked Data URIs, and is made available via multiple views that are both human- and machine-readable, and in multiple formats. Loc-I aggregates the geographies in scope into a Hybrid Spatial Knowledge Graph and provides APIs for queries. The Hybrid Spatial Knowledge Graph provides a reference graph cache for querying and traversing features. To date, we have integrated the following geographies: Aus. Bureau of Statistics’s Australian Standard Geography Standard; Aus. Bureau of Meteorology’s Geofabric; PSMA G-NAF Address dataset. We discuss easy vs. challenging aspects of spinning up the Loc-I spatial knowledge graph.

  1. 8.  3.10 - 3.20  William Francis, Geoscience Australia, Australia

Geoscience Australia’s structured data on the web: PID governance, resolution, profiles and relationships

This talk will present on the tools and their implementation for structured linked data at Geoscience Australia (GA). The datasets include: samples, sites, surveys, placenames. The goal is to have persistent identifiers and their profiles is governed through organisational policy with entities and relationships conceptualised in ontologies. Tools include the PID service, pyLDAPI https://github.com/RDFLib/pyLDAPI, and including current work to investigate the new content negotiation by profile – separate from media type, standardising these profiles and the expression of relationships to other features. Profile templates are implemented in entity specific pyLDAPI implementations with data transformed and delivered as standard formats and profiles, sourced from an internal, organisational point of truth – a common organisational data model with well-defined internal identifiers. Applications using these mechanisms to publish such open data at the feature level granularity and their relationships include the geoscience AusGIN portal (http://www.geoscience.gov.au/) and Location Index initiative (LOC-I).

  1. 9.   3.20 – 3.30,  Ilya Zaslavsky, Lucila Ohno-Machado, Peter Rose, Hua Xu, Kirk Roberts, Joe Hamman, George Alter, David Valentine, SDSC, USA

Towards a knowledge-based query system for semantically-enhanced biomedical and geoscience data re


avatar for Jonathan Yu

Jonathan Yu

Research data scientist/architect, CSIRO
Jonathan is a data scientist/architect with the Environmental Informatics group in CSIRO. He has expertise in information and web architectures, data integration (particularly Linked Data), data analytics and visualisation. Dr Yu is currently the technical lead for the Loc-I project... Read More →
avatar for Dalia Varanka

Dalia Varanka

Research Physical Scientist, U.S. Geological Survey
Principle Investigator and Project Lead, The Map as Knowledge Base

Alastair Richie

Landcare Research NZ

Adam Leadbetter

Marine Institute

Rob Thomas

Marine Institute

Boyan Brodaric

Natural Resources Canada

Eric Boisvert

Natural Resources Canada
avatar for Irina  Bastrakova

Irina Bastrakova

Director, Spatial Data Architecture, Geoscience Australia
I have been actively involved with international and national geoinformatics communities for more than 19 years. I am the Chair of the Australian and New Zealand Metadata Working Group. My particular interest is in developing and practical application of geoscientific and geospatial... Read More →

Wednesday January 8, 2020 2:00pm - 3:30pm
White Flint

Attendees (63)